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NASA Activities in Risk
      Assessment
NASA Project Management Conference

          March 30-31, 2004




           Michael G. Stamatelatos, Ph.D.,Director
           Safety and Assurance Requirements Division
           Office of Safety and Mission Assurance
           NASA Headquarters
                                                        1
NASA is a Pioneer and a Leader in Space;
       Therefore Its Business Is Inherently Risky


                            International Space Station
                                   Safe assembly and operation




Space Transportation
      Space Shuttle
      Orbital Space Plane

                                                                 2
Our Goal

Improve risk awareness in the Agency
   Conduct PRA training for line and project managers and for
   personnel
Develop a corps of in-house PRA experts
Transition PRA from a curiosity object to baseline
method for integrated system safety, reliability and
risk assessment
Adopt organization-wide risk informed culture
   PRA to become a way of life for safety and technical
   performance improvement and for cost reduction
   Implement risk-informed management process




                                                                3
Probabilistic Risk Assessment (PRA)
                      Answers Three Basic Questions
                                 Risk is a set of triplets that answer the questions:
                                  1) What can go wrong? (accident scenarios)
                                  2) How likely is it? (probabilities)
                                  3) What are the consequences? (adverse effects)

                                                                                   Kaplan & Garrick, Risk Analysis, 1981
                                                                  Event
                                              Event
                                                                Sequence
                                            Sequence
                                                                Frequency
                                            Modeling
                                                                Evaluation

                                            2. How frequently does it happen?
                                           (Scenario frequency quantification)



                      Event
Initiating
                    Sequence                                                                  Risk
  Event                                                                                                    PRA Insights
                      Logic                                                               Integration
Selection
                   Development

      1. What can go wrong?                                                             Risk statement   Decision Support
     (Definition of scenarios)                3. What are the consequences?
                                           (Scenario consequence quantification)


                                                       Consequence
                                                         Modeling                        PRA is generally used for
                                                                                         low-probability and high-
                                                                                         consequence events
                                                                                                                            4
Relationship Between Risk Management
              and Probabilistic Risk Assessment (PRA)
  Continuous Risk Management     Method                Technique             Application

                                 Qualitative
                                Qualitative
                                   Risk                       FMEA.
                                                             FMEA.
                                  Risk
                                Assessment                     MLD,
                                                              MLD,
                               Assessment
                                                               ESD,
                                                              ESD,                Technical
                                                               ETA,              Technical
                                                              ETA,                  Risk
                                                                                   Risk
                                                               FTA,
                                                              FTA,
                                                               RBD
                                                              RBD                   and/or
                                Probabilistic
                               Probabilistic                                       and/or
                                    Risk
                                   Risk
                                Assessment                   Actuarial/            Program
                                                                                  Program
                               Assessment                   Actuarial/
                                                             Statistical             Risk
                                                                                    Risk
                                                            Statistical
                                                             Analyses
                                                            Analyses

                                                Legend:
                                 Decision
                                Decision        FMEA -        Failure Modes & Effects Analysis
                                 Analysis
                                Analysis
 Management                                     MLD -         Master Logic Diagram
Management
   System                                       ESD     -     Event Sequence Diagram
  System
                                                ETA     -     Event Tree Analysis
                                                FTA    -      Fault Tree Analysis
                                                RBD -         Reliability Block Diagram
                                                                                                 5
NASA Risk Management and Assessment
     Requirements
•   NPG 7120.5A, NASA Program and Project Management Processes
    and Requirements
        The program or project manager shall apply risk management
        principles as a decision-making tool which enables programmatic
        and technical success.
        Program and project decisions shall be made on the basis of an
        orderly risk management effort.
        Risk management includes identification, assessment, mitigation,
        and disposition of risk throughout the PAPAC (Provide Aerospace
        Products And Capabilities) process.
•   NPG 8000.4, Risk Management Procedures and Guidelines
        Provides additional information for applying risk management as
        required by NPG 7120.5A.
•   NPG 8705.x (draft) PRA Application Procedures and Guidelines
        Provides guidelines on how to apply PRA to NASA’s diversified
        programs and projects




                                                                           6
How Does PRA Help Safety?


Provides a basis for risk reduction through:
1. Accident/Mishap Prevention (best)
2. Accident/Mishap Consequence Mitigation




                     Adverse Event
                     in a Sequence


        Prevention                   Mitigation

                                                  7
The Concept of an Accident Scenario


                             PIVOTAL EVENTS


                   Pivotal                    Pivotal
    IE                                                      End State
                   Event 1                    Event n




                                                          Detrimental
The perturbation               Mitigative                 consequence of
                               Aggrevative                interest
                                                          (Quantity of intereset
                                                          to decision-maker)



Risk Scenario is a string of events that (if they occur) will lead to
an undesired end state.



                                                                                   8
Exact vs. Uncertain Probabilities

                                               Uncertainty distribution
                                                of probability values




                  Exactly
Probability




                   known

                               Probability
                 probability
                    value




                                                A narrower range means a more
                                             precise knowledge of the distribution,
                                                      or less uncertainty
                                                                                      9
Quantification of Uncertainty

                                            Probability density function,
                                               e.g., probability of LOCV
Uncertainty Distribution:
   P(x) is the probability (or
   xth percentile                               ρ(x)
   confidence) that the
   result value is x
                                    P(x)
   median is the 50th
   percentile                     is area
                                   under               5% x 50% 95%
                                   curve
                                 between                      Median
                                 0 and x
Uncertainty Range:
   Uncertainty range                              5th percentile   95th percentile
   (spread) from
   the 5th to the 95th
   percentile                                             Uncertainty
                                                         (confidence)
                                                            range


                                                                                     10
Event- and Fault-Tree Scenario
                            Modeling


                                                                                                  No damage to      No damage to
                                               Hydrazine leaks    Leak detected   Leak isolated   flight critical     scientific      End state
            Leak not detected                                                                        avionics        equipment
                                                      IE               LD              LI               A                S



                                                                                                                                        OK


                                                                                                                                   Loss of science

                                                                                                                                      Loss of
                                                                                                                                     Spacecraft
                                   Presure        Presure
Controller fails                transducer 1   transducer 2                                                                              OK
                                     fails          fails

                                                                                                                                   Loss of science
      CN                             P1             P2

              common cause                                                                                                            Loss of
                failure of P.                                                                                                        Spacecraft
               transducers
                                                                                                                                         OK
                    PP

                                                                 distribution                                                      Loss of science

                                                                                                                                      Loss of
                                                                                                                                     Spacecraft

         Fault tree                                                      Event tree




                                                                                                                                                     11
PRA Methodology Synopsis

                       Inputs to Decision Making Process                                                      Master Logic Diagram (Hierarchical Logic)                                              Event Sequence Diagram (Logic)


                                                                   End State: ES1                                                                                                          IE                  A              B          End State: OK
                                                               End State: ES2
                                                              End State: ES2
                                                                                                                                                                                                          End State: ES2



                                                                                                                                                                                                 C             D              E




                                                                                                                                                                                                                                                         LOGIC MODELING
                                                                                                                                                                                                                                       End State: ES1



                                                                                                                                                                                                                                       End State: ES2




                           Event Tree (Inductive Logic)                                                                         Fault Tree (Logic)                                         One to Many Mapping of an ET-defined Scenario
                                                                            End                                                        Not A                                                                                      NEW STRUCTURE
          IE           A         B           C         D           E
                                                                            State

                                                                           1: OK                      Logic Gate
                                                                                                                                                                       Basic Event               Internal initiating events        One of these events
                                                                                                                                                                                                 External initiating events
                                                                           2: ES1
                                                                                                                                                                                                 Hardware components                    AND
                                                                           3: ES2                                                                                                                Human error
                                                                           4: ES2                                                                                                                Software error                      one or more
                                                                                                                                                                                                 Common cause                          of these
                                                                           5: ES2                                                                                                                                                    elementary
                                                                                                                                                                                                 Environmental conditions               events
                                                                           6: ES2                                                                                                                Other
                                                                                                                              Link to another fault tree




               Probabilistic Treatment of Basic Events                                          Model Integration and Quantification of Risk Scenarios                                                    Risk Results and Insights
                                 30                           50
60
                                 25                           40                                                   End State: ES2                      Integration and quantification of
50




                                                                                                                                                                                                                                                         PROBABILISTIC
                                 20
40                                                                                              100                                                    logic structures (ETs and FTs)
30
                                 15
                                                              30
                                                              20                                                                                       and propagation of epistemic
                                                                                                                                                                                                Displaying the results in tabular and graphical forms
                                 10
20
                                  5                           10
                                                                                                 80
                                                                                                                            End State: ES1             uncertainties to obtain                  Ranking of risk scenarios
10
         0.01   0.02   0.03   0.04    0.02   0.04   0.06   0.08     0.02   0.04   0.06   0.08
                                                                                                 60
                                                                                                                                                                                                Ranking of individual events (e.g., hardware failure,
                                                                                                                                                             minimal cutsets (risk
                                                                                                 40
                                                                                                                                                             scenarios in terms of
                                                                                                                                                                                                human errors, etc.)
     Examples (from left to right):                                                              20                                                          basic events)                      Insights into how various systems interact
     Probability that the hardware x fails when needed                                                                                                       likelihood of risk                 Tabulation of all the assumptions
     Probability that the crew fail to perform a task                                                                                                        scenarios
     Probability that there would be a windy condition at the time of landing
                                                                                                           0.01      0.02      0.03     0.04    0.05
                                                                                                                                                             uncertainty in the
                                                                                                                                                                                                Identification of key parameters that greatly
                                                                                                                                                             likelihood estimates               influence the results
          The uncertainty in occurrence of an event is                                                                                                                                          Presenting results of sensitivity studies
           characterized by a probability distribution




                                                                                                                                                                                                                                                                    12
What Decision Types Can PRA Support?

   Safety improvement in design, operation, maintenance and
   upgrade (throughout life cycle);
   Mission success enhancement;
   Performance improvement; and
   Cost reduction for design, operation and maintenance

For all these areas of application, PRA can help:
   Identify leading risk contributors and their relative values
   Indicate priorities for resource allocation
   Optimize results for given resource availability




                                                                  13
Areas of PRA Application at NASA


 In Design and Conceptual Design (e.g., Crew
 Exploration Vehicle, Mars missions, Project
 Prometheus)
 For Upgrades (Space Shuttle)
 For Development/construction/assembly (e.g.,
 International Space Station)
 When there are requirements for Safety Compliance
 (e.g., nuclear missions like Mars ’03; Project
 Prometheus, Mars Sample Return)




                                                     14
NASA Procedural Requirement NPR 8705
                                                            (Draft)

 CONSEQUENCE                                                                NASA PROGRAM/PROJECT
                              CRITERIA / SPECIFICS                                                                  PRA SCOPE
 CATEGORY                                                                   (Classes and/or Examples)
                                       Planetary Protection Program
                                                                      Mars Sample Return Missions                       F
                                       Requirement
                     Public Safety     White House Approval           Nuclear Payloads
                                                                                                                        F
                                       (PD/NSC-25)                    (e.g., Cassini, Ulysses, Mars 2003)
  Human Safety and                     Space Missions with Flight
      Health                                                          Launch Vehicles                                   F
                                       Termination Systems
                                                                      International Space Station                       F
                                 Human Space Flight                   Space Shuttle                                     F
                                                                      Orbital Space Plane/Space Launch Initiative       F
                              High Strategic Importance               Mars Program                                      F
                                                                      Launch Window
                               High Schedule Criticality                                                                F
                                                                      (e.g., planetary missions)
  Mission Success                                                     Earth Science Missions
   (for non-human                                                                                                      L/S
                                                                      (e.g., EOS, QUICKSCAT)
   rated missions)                                                    Space Science Missions
                                     All Other Missions                                                                L/S
                                                                      (e.g., SIM, HESSI)
                                                                      Technology Demonstration/Validation (e.g.,
                                                                                                                       L/S
                                                                      EO-1, Deep Space 1)




                           F = Full scope; L/S = Limited or Simplified
PRA Scope Legend: F = Full scope; L = Limited scope; S = Simplified PRA



                                                                                                                                15
NASA Special PRA Methodology Needs

 Broad range of programs: Conceptual non-human rated science
 projects; Multi-stage design and construction of the International
 Space Station; Upgrades of the Space Shuttle
 Risk initiators that vary drastically with type of program
 Unique design and operating environments (e.g., microgravity
 effects on equipment and humans)
 Multi-phase approach in some scenario developments
 Unique external events (e.g., micro-meteoroids and orbital debris)
 Unique types of adverse consequences (e.g., fatigue and illness in
 space) and associated databases
 Different quantitative methods for human reliability (e.g., astronauts
 vs. other operating personnel)
 Quantitative methods for software reliability




                                                                          16
Space Shuttle
 Probabilistic
     Risk
 Assessment




                 17
STS Nominal Mission Profile
                        ASCENT completes
                                                      ORBIT completes


                                           APU Shutdown
                                   TAL
                                                             TIG-5




t ~ 150kft)



  SSME start                                        ENTRY completes
APU start



                                                                        18
Current Shuttle PRA Results for LOCV
                                                   (provisional)


                        1/25
                          100
                                                    median = 1 in 123
P ro b a b ility D e n s ity
       F u n c tio n




                                                             mean = 1 in 76

                                                                   5th percentile = 1 in 617

                                                                        95th percentile = 1 in 23

                            0
                         1/25
                              1/500
                              0.00          0.01
                                           1/100      0.02
                                                      1/50          0.03
                                                                    1/33            0.04
                                                                                    1/25             0.05
                                                                                                    1/20
                               truncated
                                                   Number of Missions

                                                                                                            19
Summary of Shuttle PRA Historical Results
Probability of Loss of Crew and Vehicle




                                                                                                                                  1993 PRA
                                                                                                                                                       1988 PRA
                                                                                                                                  update the
      Median values (log scale)




                                                   2003 PRA       1998 PRA                                                                             First PRA
                                                                                                                                  Galileo study
                                                   Integrated     Unpublished                                      1995 PRA                            conducted on
                                                                                                                                  results to reflect
                                                   PRA with all   analysis using                                   First major                         the Space
                                                                                                                                  the current
                                            0.1    elements.      QRAS. No                                         study of       (April 1993) test
                                                                                                                                                       Shuttle for
                                                   18 Orbiter     Integration of                   1996 PRA                                            ascent only,
                                                                                   1997 PRA                        Shuttle PRA.   and operational
                                                   systems.       elements.                        Bayesian up                                         for Galileo
                                                                                   First use of                    Analysis by    experience
                                                   Incl. MMOD     Limited to 3                     date of the                                         Mission
                                                                                   QRAS tool.                      SAIC with      base of the
                                                                  Orbiter                          1995 model by
                                                                                   Update of                       input from     Shuttle.
                                                                  systems and                      adding 17
                                                                                   1995 PRA with                   prime
                                                                  the propulsion   new look at
                                                                                                   successful
                                                                                                                   contractors
                                                                                                                                                          1/78
                                                                  elements                         flights
                                                                                   APU
                                           0.01
                                                                                                                                         1/90
                                                     1/123
                                                     1/245                                           1/147               1/145
                                                                                     1/161
                                                                    1/254
                                                                    1/245


                                          0.001
                                                   SPRAT PRA Shuttle PRA Shuttle PRA Shuttle PRA Shuttle PRA   Phase 1 -  Galileo 1988
                                                       2003      1998       1997         1996       1995     1993 (Ascent   (Ascent
                                                     Ascent,                                                    only)        only)
                                                                          Ascent and entry only
                                                    entry, and
                                                  orbital debris                                                                                                      20
Annual Voluntary Risks in Some Sports -
Comparable in Magnitude to Shuttle Risk


     Professional stunting                   1/100
     Dedicated mountain climbing             1/167
     Air show/air racing and acrobatics      1/200
     Amateur flying in home-built aircraft   1/333
     Experienced whitewater boating          1/370
     Sport parachuting                       1/500




                   Source:    R. Wilson and E. Crouch,
                              Risk-Benefit Analysis,
                              Harvard University Press, 2001

                                                               21
International Space Station (ISS) PRA



              •   1999 -- The NASA Advisory Council
                  recommended, the NASA Administrator
                  concurred, and the ISS Program began
                  a PRA.
                   − The modeling will be QRAS-
                     compatible.
                   − First portion of PRA (through Flight
                     7A) - delivered in Dec. 2000; Second
                     portion (through Flight 12A)
                     delivered in July 2001.




                                                            22
23
Important ISS PRA Findings



       MMOD: lead contributor to
       loss of station (LOS) risk

       Illness in space: lead
       contributor to loss of crew
       (LOC) risk




                                     24
Approach to PRA for NASA Top-Level
    Designs (e.g., Crew Exploration Vehicle)
                  Strawman
                   Mission
   Level 1       Architecture                   Design Activities
Requirements
                                    Cost and
                    Design
Risk an Safety                      Schedule
                   Concepts
  Goals and                           Risk
Requirements                      Assessments


                 Definition of                              Safety,
                 Operational                              Reliability,
  Mission
                   Phases            PRA                  Schedule,
Requirements
                                                          and Cost
                                                          Trade-offs
                  First-Order
                   Risk Goal
Performance      Allocation for
Requirements      Each Phase
                                    Design
                                  Engineering

                   System
                  Reliability
                  Allocation
Past Related
PRA Efforts;                        Mature
e.g., Shuttle                       Design

                   Top Level
                     PRA




                                                                         25
Advanced PRA Methods or Tools

    QRAS (Quantitative Risk Assessment
    System) – a state of the art integrated
    PRA computer program
    Galileo/ASSAP – Dynamic fault tree
    program
    Software reliability methodology for use
    in PRA
    External event methodology for micro-
    meteoroid and orbital debris (MMOD)
    risk into the overall risk assessment




                                               26
QRAS 1.7 Is Being Commercialized


                                Space Shuttle
                                                                                                                                                                                                  time in seconds
            SSME             SRB         ORBITER           ET
                                                                                             R(i,x, t) = R
                                                                                                         0(i,x, t)                                                                              t1 t2 t3 t4
                                                                                                                                                                                                -6 0 128 510
                                                                                where:                                                                                          SSME
                                                                                           R is reliability of manifold weld                                                            HPOTP   _______________
                                                                                           i is physical state                                                                          LPFTP   _______________
    LPFTP        HPFTP             HEX           MCC                                                                                                                                    HEX     _______________
                                                                                           x is vector of physical variables                                                            MCC     _______________
                                                                                           t is time                                                                            SRB
                                                                                                                                                                                        TVC    _______________
                                      Bolt
                                                 Manif          Seal           Engineering Modes                                                                                        NOZZLE _______________
                                                 Weld           Fail           to determine initiating event probability
                                      Fail        Fail
                                                                                                                                                                                                   Mission Timeline
Element/Subsystem Hierarchy
  Event Sequence Diagram
                                                                                        Initiating
                                                                                        Event                                        Event Tree (quantification)
 Manif                                                                                                                               (furure unhancement: dynamic)
 Weld           Is crack                Is repair     Yes         Successful                                 Manifold
Failure        detectable?            100% effect.?                  op.                                      Weld                                                                          Success Prob.
                                                                                                                                   S = 0.9            S = ...             S = ...
                  No                                                                                         Failure                                                                        LOV Prob.
                                                                                                                                                                          F = ...
                                                                                                                                                                                            Success Prob.
              Is crack small
            enoung to survive                 Yes                 Successful
                                                                                                                                                      F = ...             S = ...           LOV Prob.
                1 mission?                                           op.                                                                                                  F = ...
                                                                                                                                                                                            Mission Fail. Prob.
                  No
                                                                                                                                    F = 0.1         S = 0.96                                LOV Prob.
                                                                                                                                                    F = 0.04
              Loss of flow               HPFTP cavitates
               to LPFTP          No       LOX rich op.            Successful
                                                                     op.


                                                                                                                                                     Fault Tree                                       Risk Aggregation
                                                                               Probability Distribution                                              (use to quantify pivotal events)
                                                                               for initiating event

               What if?                                  Tool Box
                                                                                                                           Probability of                                                                  Results
               1. Remove old subsystem and                  Bayesian                                                       Manifold Weld
                  replace with design.                      Updating                                                       Failure
               2. Change failure probabilities for        Mathematica
                  initiating events.
               3. Eliminate failure modes.                   Others
               4. Vary parameters of engineering
                  models.                                   (future)
                                                                                                                                    Pr
                                                                                         5% tile                       95% tile
                                                                                                       median


                                                                                                                                                                                                                         27
In Summary, We Plan to

Continue to improve risk awareness
   Conduct PRA training for line and project managers
   and for personnel
Continue to develop a corps of in-house PRA
experts
Transition PRA to baseline method for safety
assessment
Integrate risk assessment with system safety
and reliability assessment
Adopt organization-wide risk informed culture
   PRA to become a way of life for safety and technical
   performance improvement and for cost reduction
   Implement risk-informed management process




                                                          28

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Stamatelatos

  • 1. NASA Activities in Risk Assessment NASA Project Management Conference March 30-31, 2004 Michael G. Stamatelatos, Ph.D.,Director Safety and Assurance Requirements Division Office of Safety and Mission Assurance NASA Headquarters 1
  • 2. NASA is a Pioneer and a Leader in Space; Therefore Its Business Is Inherently Risky International Space Station Safe assembly and operation Space Transportation Space Shuttle Orbital Space Plane 2
  • 3. Our Goal Improve risk awareness in the Agency Conduct PRA training for line and project managers and for personnel Develop a corps of in-house PRA experts Transition PRA from a curiosity object to baseline method for integrated system safety, reliability and risk assessment Adopt organization-wide risk informed culture PRA to become a way of life for safety and technical performance improvement and for cost reduction Implement risk-informed management process 3
  • 4. Probabilistic Risk Assessment (PRA) Answers Three Basic Questions Risk is a set of triplets that answer the questions: 1) What can go wrong? (accident scenarios) 2) How likely is it? (probabilities) 3) What are the consequences? (adverse effects) Kaplan & Garrick, Risk Analysis, 1981 Event Event Sequence Sequence Frequency Modeling Evaluation 2. How frequently does it happen? (Scenario frequency quantification) Event Initiating Sequence Risk Event PRA Insights Logic Integration Selection Development 1. What can go wrong? Risk statement Decision Support (Definition of scenarios) 3. What are the consequences? (Scenario consequence quantification) Consequence Modeling PRA is generally used for low-probability and high- consequence events 4
  • 5. Relationship Between Risk Management and Probabilistic Risk Assessment (PRA) Continuous Risk Management Method Technique Application Qualitative Qualitative Risk FMEA. FMEA. Risk Assessment MLD, MLD, Assessment ESD, ESD, Technical ETA, Technical ETA, Risk Risk FTA, FTA, RBD RBD and/or Probabilistic Probabilistic and/or Risk Risk Assessment Actuarial/ Program Program Assessment Actuarial/ Statistical Risk Risk Statistical Analyses Analyses Legend: Decision Decision FMEA - Failure Modes & Effects Analysis Analysis Analysis Management MLD - Master Logic Diagram Management System ESD - Event Sequence Diagram System ETA - Event Tree Analysis FTA - Fault Tree Analysis RBD - Reliability Block Diagram 5
  • 6. NASA Risk Management and Assessment Requirements • NPG 7120.5A, NASA Program and Project Management Processes and Requirements The program or project manager shall apply risk management principles as a decision-making tool which enables programmatic and technical success. Program and project decisions shall be made on the basis of an orderly risk management effort. Risk management includes identification, assessment, mitigation, and disposition of risk throughout the PAPAC (Provide Aerospace Products And Capabilities) process. • NPG 8000.4, Risk Management Procedures and Guidelines Provides additional information for applying risk management as required by NPG 7120.5A. • NPG 8705.x (draft) PRA Application Procedures and Guidelines Provides guidelines on how to apply PRA to NASA’s diversified programs and projects 6
  • 7. How Does PRA Help Safety? Provides a basis for risk reduction through: 1. Accident/Mishap Prevention (best) 2. Accident/Mishap Consequence Mitigation Adverse Event in a Sequence Prevention Mitigation 7
  • 8. The Concept of an Accident Scenario PIVOTAL EVENTS Pivotal Pivotal IE End State Event 1 Event n Detrimental The perturbation Mitigative consequence of Aggrevative interest (Quantity of intereset to decision-maker) Risk Scenario is a string of events that (if they occur) will lead to an undesired end state. 8
  • 9. Exact vs. Uncertain Probabilities Uncertainty distribution of probability values Exactly Probability known Probability probability value A narrower range means a more precise knowledge of the distribution, or less uncertainty 9
  • 10. Quantification of Uncertainty Probability density function, e.g., probability of LOCV Uncertainty Distribution: P(x) is the probability (or xth percentile ρ(x) confidence) that the result value is x P(x) median is the 50th percentile is area under 5% x 50% 95% curve between Median 0 and x Uncertainty Range: Uncertainty range 5th percentile 95th percentile (spread) from the 5th to the 95th percentile Uncertainty (confidence) range 10
  • 11. Event- and Fault-Tree Scenario Modeling No damage to No damage to Hydrazine leaks Leak detected Leak isolated flight critical scientific End state Leak not detected avionics equipment IE LD LI A S OK Loss of science Loss of Spacecraft Presure Presure Controller fails transducer 1 transducer 2 OK fails fails Loss of science CN P1 P2 common cause Loss of failure of P. Spacecraft transducers OK PP distribution Loss of science Loss of Spacecraft Fault tree Event tree 11
  • 12. PRA Methodology Synopsis Inputs to Decision Making Process Master Logic Diagram (Hierarchical Logic) Event Sequence Diagram (Logic) End State: ES1 IE A B End State: OK End State: ES2 End State: ES2 End State: ES2 C D E LOGIC MODELING End State: ES1 End State: ES2 Event Tree (Inductive Logic) Fault Tree (Logic) One to Many Mapping of an ET-defined Scenario End Not A NEW STRUCTURE IE A B C D E State 1: OK Logic Gate Basic Event Internal initiating events One of these events External initiating events 2: ES1 Hardware components AND 3: ES2 Human error 4: ES2 Software error one or more Common cause of these 5: ES2 elementary Environmental conditions events 6: ES2 Other Link to another fault tree Probabilistic Treatment of Basic Events Model Integration and Quantification of Risk Scenarios Risk Results and Insights 30 50 60 25 40 End State: ES2 Integration and quantification of 50 PROBABILISTIC 20 40 100 logic structures (ETs and FTs) 30 15 30 20 and propagation of epistemic Displaying the results in tabular and graphical forms 10 20 5 10 80 End State: ES1 uncertainties to obtain Ranking of risk scenarios 10 0.01 0.02 0.03 0.04 0.02 0.04 0.06 0.08 0.02 0.04 0.06 0.08 60 Ranking of individual events (e.g., hardware failure, minimal cutsets (risk 40 scenarios in terms of human errors, etc.) Examples (from left to right): 20 basic events) Insights into how various systems interact Probability that the hardware x fails when needed likelihood of risk Tabulation of all the assumptions Probability that the crew fail to perform a task scenarios Probability that there would be a windy condition at the time of landing 0.01 0.02 0.03 0.04 0.05 uncertainty in the Identification of key parameters that greatly likelihood estimates influence the results The uncertainty in occurrence of an event is Presenting results of sensitivity studies characterized by a probability distribution 12
  • 13. What Decision Types Can PRA Support? Safety improvement in design, operation, maintenance and upgrade (throughout life cycle); Mission success enhancement; Performance improvement; and Cost reduction for design, operation and maintenance For all these areas of application, PRA can help: Identify leading risk contributors and their relative values Indicate priorities for resource allocation Optimize results for given resource availability 13
  • 14. Areas of PRA Application at NASA In Design and Conceptual Design (e.g., Crew Exploration Vehicle, Mars missions, Project Prometheus) For Upgrades (Space Shuttle) For Development/construction/assembly (e.g., International Space Station) When there are requirements for Safety Compliance (e.g., nuclear missions like Mars ’03; Project Prometheus, Mars Sample Return) 14
  • 15. NASA Procedural Requirement NPR 8705 (Draft) CONSEQUENCE NASA PROGRAM/PROJECT CRITERIA / SPECIFICS PRA SCOPE CATEGORY (Classes and/or Examples) Planetary Protection Program Mars Sample Return Missions F Requirement Public Safety White House Approval Nuclear Payloads F (PD/NSC-25) (e.g., Cassini, Ulysses, Mars 2003) Human Safety and Space Missions with Flight Health Launch Vehicles F Termination Systems International Space Station F Human Space Flight Space Shuttle F Orbital Space Plane/Space Launch Initiative F High Strategic Importance Mars Program F Launch Window High Schedule Criticality F (e.g., planetary missions) Mission Success Earth Science Missions (for non-human L/S (e.g., EOS, QUICKSCAT) rated missions) Space Science Missions All Other Missions L/S (e.g., SIM, HESSI) Technology Demonstration/Validation (e.g., L/S EO-1, Deep Space 1) F = Full scope; L/S = Limited or Simplified PRA Scope Legend: F = Full scope; L = Limited scope; S = Simplified PRA 15
  • 16. NASA Special PRA Methodology Needs Broad range of programs: Conceptual non-human rated science projects; Multi-stage design and construction of the International Space Station; Upgrades of the Space Shuttle Risk initiators that vary drastically with type of program Unique design and operating environments (e.g., microgravity effects on equipment and humans) Multi-phase approach in some scenario developments Unique external events (e.g., micro-meteoroids and orbital debris) Unique types of adverse consequences (e.g., fatigue and illness in space) and associated databases Different quantitative methods for human reliability (e.g., astronauts vs. other operating personnel) Quantitative methods for software reliability 16
  • 17. Space Shuttle Probabilistic Risk Assessment 17
  • 18. STS Nominal Mission Profile ASCENT completes ORBIT completes APU Shutdown TAL TIG-5 t ~ 150kft) SSME start ENTRY completes APU start 18
  • 19. Current Shuttle PRA Results for LOCV (provisional) 1/25 100 median = 1 in 123 P ro b a b ility D e n s ity F u n c tio n mean = 1 in 76 5th percentile = 1 in 617 95th percentile = 1 in 23 0 1/25 1/500 0.00 0.01 1/100 0.02 1/50 0.03 1/33 0.04 1/25 0.05 1/20 truncated Number of Missions 19
  • 20. Summary of Shuttle PRA Historical Results Probability of Loss of Crew and Vehicle 1993 PRA 1988 PRA update the Median values (log scale) 2003 PRA 1998 PRA First PRA Galileo study Integrated Unpublished 1995 PRA conducted on results to reflect PRA with all analysis using First major the Space the current 0.1 elements. QRAS. No study of (April 1993) test Shuttle for 18 Orbiter Integration of 1996 PRA ascent only, 1997 PRA Shuttle PRA. and operational systems. elements. Bayesian up for Galileo First use of Analysis by experience Incl. MMOD Limited to 3 date of the Mission QRAS tool. SAIC with base of the Orbiter 1995 model by Update of input from Shuttle. systems and adding 17 1995 PRA with prime the propulsion new look at successful contractors 1/78 elements flights APU 0.01 1/90 1/123 1/245 1/147 1/145 1/161 1/254 1/245 0.001 SPRAT PRA Shuttle PRA Shuttle PRA Shuttle PRA Shuttle PRA Phase 1 - Galileo 1988 2003 1998 1997 1996 1995 1993 (Ascent (Ascent Ascent, only) only) Ascent and entry only entry, and orbital debris 20
  • 21. Annual Voluntary Risks in Some Sports - Comparable in Magnitude to Shuttle Risk Professional stunting 1/100 Dedicated mountain climbing 1/167 Air show/air racing and acrobatics 1/200 Amateur flying in home-built aircraft 1/333 Experienced whitewater boating 1/370 Sport parachuting 1/500 Source: R. Wilson and E. Crouch, Risk-Benefit Analysis, Harvard University Press, 2001 21
  • 22. International Space Station (ISS) PRA • 1999 -- The NASA Advisory Council recommended, the NASA Administrator concurred, and the ISS Program began a PRA. − The modeling will be QRAS- compatible. − First portion of PRA (through Flight 7A) - delivered in Dec. 2000; Second portion (through Flight 12A) delivered in July 2001. 22
  • 23. 23
  • 24. Important ISS PRA Findings MMOD: lead contributor to loss of station (LOS) risk Illness in space: lead contributor to loss of crew (LOC) risk 24
  • 25. Approach to PRA for NASA Top-Level Designs (e.g., Crew Exploration Vehicle) Strawman Mission Level 1 Architecture Design Activities Requirements Cost and Design Risk an Safety Schedule Concepts Goals and Risk Requirements Assessments Definition of Safety, Operational Reliability, Mission Phases PRA Schedule, Requirements and Cost Trade-offs First-Order Risk Goal Performance Allocation for Requirements Each Phase Design Engineering System Reliability Allocation Past Related PRA Efforts; Mature e.g., Shuttle Design Top Level PRA 25
  • 26. Advanced PRA Methods or Tools QRAS (Quantitative Risk Assessment System) – a state of the art integrated PRA computer program Galileo/ASSAP – Dynamic fault tree program Software reliability methodology for use in PRA External event methodology for micro- meteoroid and orbital debris (MMOD) risk into the overall risk assessment 26
  • 27. QRAS 1.7 Is Being Commercialized Space Shuttle time in seconds SSME SRB ORBITER ET R(i,x, t) = R 0(i,x, t) t1 t2 t3 t4 -6 0 128 510 where: SSME R is reliability of manifold weld HPOTP _______________ i is physical state LPFTP _______________ LPFTP HPFTP HEX MCC HEX _______________ x is vector of physical variables MCC _______________ t is time SRB TVC _______________ Bolt Manif Seal Engineering Modes NOZZLE _______________ Weld Fail to determine initiating event probability Fail Fail Mission Timeline Element/Subsystem Hierarchy Event Sequence Diagram Initiating Event Event Tree (quantification) Manif (furure unhancement: dynamic) Weld Is crack Is repair Yes Successful Manifold Failure detectable? 100% effect.? op. Weld Success Prob. S = 0.9 S = ... S = ... No Failure LOV Prob. F = ... Success Prob. Is crack small enoung to survive Yes Successful F = ... S = ... LOV Prob. 1 mission? op. F = ... Mission Fail. Prob. No F = 0.1 S = 0.96 LOV Prob. F = 0.04 Loss of flow HPFTP cavitates to LPFTP No LOX rich op. Successful op. Fault Tree Risk Aggregation Probability Distribution (use to quantify pivotal events) for initiating event What if? Tool Box Probability of Results 1. Remove old subsystem and Bayesian Manifold Weld replace with design. Updating Failure 2. Change failure probabilities for Mathematica initiating events. 3. Eliminate failure modes. Others 4. Vary parameters of engineering models. (future) Pr 5% tile 95% tile median 27
  • 28. In Summary, We Plan to Continue to improve risk awareness Conduct PRA training for line and project managers and for personnel Continue to develop a corps of in-house PRA experts Transition PRA to baseline method for safety assessment Integrate risk assessment with system safety and reliability assessment Adopt organization-wide risk informed culture PRA to become a way of life for safety and technical performance improvement and for cost reduction Implement risk-informed management process 28