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Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of Tennessee 1
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Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Dec 26, 2015

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Page 1: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Risk Assessment and Probabilistic Risk Assessment

(PRA)

Mario. H. Fontana PhD.,PE

Research Professor

Arthur E. Ruggles PhD

Professor

The University of Tennessee

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Page 2: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Definition of Risk

• Risk = Probability of occurrence x consequences. We will focus on Core Damage, or Large Early Release as consequences.

• PRA models are normally consequence specific.

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Page 3: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Total Risk = Σpici

Total risk would include releases, core damage, and others.

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Page 4: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Probability

• Probability is a way to predict stochastic events

• Common events: probability fairly well known. (e.g., MOCV failure rate, lots of data)

• Rare events: Less well known. Much less data.

• New Systems and Components: No data…

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Page 5: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Consequences

• Conseqences from nuclear reactor accidents could be – damage to plant– Impact to environment– Loss of land use– Cost of evacuations, sheltering, etc– Health (morbidity) effects– Life threatening effects

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Page 6: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Fault Trees

• Fault trees are used to determine the probability of a “top event” (e.g., core damage).

• Top event defines the failure or success of a system or component

• Fault tees use a structure of logical operations to calculate the probability of the top event as a result of “basic events” inputs

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Page 7: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Fault Trees (2)

• The undesired event is stated at the top of the tree

• The fault tree gates specify logical combinations of basic events that lead to the top event

• Fault trees can be used to identify system weaknesses

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Page 8: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Fault Trees (3)

• Fault trees can help recognize interrelationships between fault events

• Fault trees consist of logic gates and basic events as inputs to the logic gates

• Logic Gates: Boolean operations (union or intersection) of the input events

• Basic Events: Faults such as a hardware failure, human error, or adverse condition

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Page 9: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

AND Gate• Event 6 and event 7 must occur to “pass” the

gate. P(Q) =P(A)*P(B)

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Page 10: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Amplifier Failure Mode Probabilities, NUREG 0492

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Page 11: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Probabilities add for the OR gate, since either input, or both, willpass failure through. P(Q)=P(A)+P(B)

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Page 12: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Basic event

• Basic events provide input to the fault tree, such as failure of a component or system, expressed as a probability. The circle indicates that no further development is necssary

1.000E-2

EVENT-1

1.000E-2

EVENT-2

Basic event2

Basic event1

BASIC-EVENT - Basic event 2007/09/18 Page 5

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Page 13: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Additional Gates (SAPHIRE)

2 3GATE-7-0

EVENT-7-1

--E--

EVENT-7-1

8

TRANS-7-2

--E--

EVENT-7-3

--E--

EVENT-7-4

N/M Gate (2 out of 3) INHIBIT Gate TRANSFER Gate HOUSE Event UNDEVELOPED Event

ADDITIONAL GATES

ADDNL-GATES-&-SYMBOLS - Additional gates & symbols 2007/09/19 Page 7

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Page 14: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Steps to building a fault tree

• Identify a top event as a failure to perform a function (system, component, or human failure, for example)

• Identify events that could contribute to failure of the top event (usually logic gates)

• Identify further “lower level” events that could contribute to the intermediate event

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Page 15: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Steps to building a fault tree (2)

• Continue until reach basic events, which comprise inputs (such as component failures) to the tree

• Saphire then will perform the calculations

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Page 16: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Outputs from Saphire calculations

• Calculate failure probability of top event• Calculate failure probability of intermediate

events• Identify cut sets

– Cut set is a sequence of events that proceed from the basic event to the top event in an unbroken sequence

– Minimal cut sets are cut sets that contain minimal number of events that are not contained in other cut sets.

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Page 17: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Outputs from Saphire calculation (2)

• Provide importance factors that indicate relative importance of Basic events

• e.g, RIR, Risk increase ratio: Ratio of top event failure probability with a given Basic event failure probability set to 1 (“guaranteed failure”) and the rest remaining at their baseline value.

• There are several other measures that will be discussed later(See Saphire)

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Page 18: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Outputs from Saphire calculation (3)

• Calculate uncertainty of top event failure probability given uncertainty distributions of the basic events.

• Usually calculations are done with point probability values (no distribution) but others can be done with different inputs– Normal, log normal, uniform, histogram, many

others

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Page 19: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Cut Sets

• A cut set is the path by which one or more basic events lead to the top event.

• For example, – a one element cut set identifies where failure of one

basic event causes failure of the top event– a two element cut set shows how failure of two basic

events cause failure of the top event

• Obviously, one element cut sets should be avoided. (Like one bolt holding on a wing of an airplane – one failure causes one disaster.)

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Page 20: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Cut sets (2)

• Minimal cut sets are the smallest set of events that can cause failure of the top event. Cut sets that contain events already contained in a smaller set are discarded. What’s left are minimal cut sets.

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Page 21: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Larger Model

CLASS-DEMO

GATE-F.1

1.000E-2

EVENT-F.4

1.000E-2

EVENT-F.7 GATE-F.2

1.000E-2

EVENT-IG.1 GATE-F.3

1.000E-2

EVENT-F.5

1.000E-2

EVENT-F.6

GATE-IG-1

1.000E-2

EVENT-IG.1

1.000E-2

EVENT-IG.22 4

GATE-1G.2

1.000E-2

EVENT-IG-5

1.000E-2

EVENT-IG.3

1.000E-2

EVENT-IG.4

1.000E-2

EVENT-IG.6

GATE-S.1

1.000E-2

EVENT-IG.1

1.000E-2

EVENT-S.1

Starter inoperable

Fuel injectorsfouled

Spark plugswires or plugs

failed

Fuel injectionfailure

Fuel supplyfails

Ignition fails

Engine failsto start

Starter failsNo gas in tank

Gasoline filterfailed

Gasoline notfree of gunk

Spark plug wireno 4 fails

Spark plug wireno 3 fails

Spark plug wireno 2 fails

Internal fuelpump damage

Spark plug wire1 fails

Distributorsystem fails

Battery fails

Battery fails Battery fails

CLASS-DEMO - Demonstration for class 2007/09/24 Page 1

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Page 22: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Cut sets

CLASS-DEMO

GATE-F.1

1.000E-2

EVENT-F.4

1.000E-2

EVENT-F.7 GATE-F.2

1.000E-2

EVENT-IG.1 GATE-F.3

1.000E-2

EVENT-F.5

1.000E-2

EVENT-F.6

GATE-IG-1

1.000E-2

EVENT-IG.1

1.000E-2

EVENT-IG.22 4

GATE-1G.2

1.000E-2

EVENT-IG-5

1.000E-2

EVENT-IG.3

1.000E-2

EVENT-IG.4

1.000E-2

EVENT-IG.6

GATE-S.1

1.000E-2

EVENT-IG.1

1.000E-2

EVENT-S.1

Starter inoperable

Fuel injectorsfouled

Spark plugswires or plugs

failed

Fuel injectionfailure

Fuel supplyfails

Ignition fails

Engine failsto start

Starter failsNo gas in tank

Gasoline filterfailed

Gasoline notfree of gunk

Spark plug wireno 4 fails

Spark plug wireno 3 fails

Spark plug wireno 2 fails

Internal fuelpump damage

Spark plug wire1 fails

Distributorsystem fails

Battery fails

Battery fails Battery fails

CLASS-DEMO - Demonstration for class 2007/09/24 Page 1

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Page 23: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

EVENT TREES

• Event trees start with an initiating event, branch to the right as various safety functions are questioned for success (up) or failure (down) (ref Saphire manual)

• Event trees– Identify accident sequences– Identify safety system functions– Quantify sequence frequencies

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Page 24: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

EVENT TREE DEVELOPMENT

Plant familiarization

Define safety functions and success criteria

Select initiating events

Determine plant response

Define accident sequences & plant damage states

Identify system failure criteria

Develop fault trees & link to event tree

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Page 25: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

EVENT TREE TERMINOLOGY

• Initiating event• Top event – Safety systems intented to respond

to the initiating event• Branching – Underneath a top event – Up=

success, Down= failure• Pass – No branch beneath a top event• Sequence – Branching path, initiating event to

end state• End states – consequences and probabilities

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Page 26: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Event tree- Reactor Loss of Offsite Power

CCS

Containment system

ECCS

Emergency corecooling system

LOSP

Loss of offsitepower initiating

# END-STATE-NAMES

1 OK-NO-RELEASE

2 SOME-LATE-RELEASE

3 MEDIUM-LATE-RELEASE

4 LARGE-EARLY-RELEASE

EVENT TREE LOSP - 2007/10/07 Page 2

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Page 27: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Emergency Core Cooling System Fault Tree (ECCS)

ECCS

1.000E-2

EVENT-ECCS-1

1.000E-2

EVENT-ECCS-2

1.000E-2

EVENT-ECCS-3

Emergency corecooling system

Loss of watersource

Loss of dieselpower

Loss of heatsink

ECCS - Emergency core cooling system 2007/10/09 Page 127

Page 28: Risk Assessment and Probabilistic Risk Assessment (PRA) Mario. H. Fontana PhD.,PE Research Professor Arthur E. Ruggles PhD Professor The University of.

Summary

• Risk assessment is a powerful tool for– Forcing disciplined approach to analysis of safety

issues– Forcing understanding of the system being evaluated– Providing methods for estimating modes of failures– Providing methods for estimating probabilities of

failures – Identifying areas where more information is needed– Identifying acceptability and/or areas needing

improvement

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