model uncertainty & sensitivity measures

23
Model Uncertainty & Sensitivity Measures Terje Haukaas, Associate Professor Mojtaba Mahsuli, PhD Candidate REC 2012, Brno, June 13-15

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Model Uncertainty & Sensitivity Measures. Terje Haukaas, Associate Professor Mojtaba Mahsuli , PhD Candidate. REC 2012, Brno, June 13-15. Vancouver. Source: “Earthquakes Canada”. 14 model types 4,389 model instances 281 random variables 8,097 response objects . Object-oriented - PowerPoint PPT Presentation

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Page 1: Model  Uncertainty & Sensitivity Measures

Model Uncertainty&

Sensitivity MeasuresTerje Haukaas, Associate Professor

Mojtaba Mahsuli, PhD Candidate

REC 2012, Brno, June 13-15

Page 2: Model  Uncertainty & Sensitivity Measures

Vancouver

Page 3: Model  Uncertainty & Sensitivity Measures

Source: “Earthquakes Canada”

Page 4: Model  Uncertainty & Sensitivity Measures
Page 5: Model  Uncertainty & Sensitivity Measures
Page 6: Model  Uncertainty & Sensitivity Measures

14 model types4,389 model instances281 random variables8,097 response objects

Page 7: Model  Uncertainty & Sensitivity Measures
Page 8: Model  Uncertainty & Sensitivity Measures

• Object-oriented

• Library of models

• Random variable objects

• Design variable objects

• Response objects

• Interactive GUI

• FDM and DDM sensitivities

• Multi-hazard

• Free at www.inrisk.ubc.ca

Page 9: Model  Uncertainty & Sensitivity Measures

0

0.2

0.4

0.6

0.8

1

0 20 40 60 80 100

Prob

abili

ty o

f Exc

eeda

nce

Cost [million $]

No Epistemic UncertaintyWith Epistemic Uncertainty

Page 10: Model  Uncertainty & Sensitivity Measures

“Aleatory” random variables

A generic model:

Page 11: Model  Uncertainty & Sensitivity Measures

“Epistemic” random variables

A generic model:

Page 12: Model  Uncertainty & Sensitivity Measures

Decision variables

A generic model:

Page 13: Model  Uncertainty & Sensitivity Measures

A generic model:

Limit-state function:

Result for each hazard:

Translated into probability:

Combination of hazards:

Translated back into reliability index:

Page 14: Model  Uncertainty & Sensitivity Measures

0

0.2

0.4

0.6

0.8

1

0 20 40 60 80 100

Prob

abili

ty o

f Exc

eeda

nce

Cost [million $]

No Epistemic UncertaintyWith Epistemic Uncertainty

Limit-state

Page 15: Model  Uncertainty & Sensitivity Measures

ObjectiveImprove the quality of the risk analysis

… identifies model types to be prioritized in long-term research efforts

IdeaReduce epistemic uncertainty

QuestionWhich epistemic uncertainty to address?

… identifies model instances to be prioritized in near-term refinement efforts

Page 16: Model  Uncertainty & Sensitivity Measures

Derivation of :

Page 17: Model  Uncertainty & Sensitivity Measures

-18000

-16000

-14000

-12000

-10000

-8000

-6000

-4000

-2000

0

∂β/∂σ

Concrete Shear Wall

Page 18: Model  Uncertainty & Sensitivity Measures
Page 19: Model  Uncertainty & Sensitivity Measures

!

Derivation of :

Page 20: Model  Uncertainty & Sensitivity Measures

0.0E+00

5.0E-08

1.0E-07

1.5E-07

2.0E-07

2.5E-07

3.0E-07

3.5E-07

4.0E-07

∂β/∂F˾

Page 21: Model  Uncertainty & Sensitivity Measures

Another questionWhich uncertainty is largest; seismic or structural?

It is far more effective to reduce the epistemic uncertainty associated with structural performance

A better way to ask that questionWhich uncertainty should be addressed; seismic or structural?

Answer

Page 22: Model  Uncertainty & Sensitivity Measures

DecisionsDesign Analysis

Design ProceduresModels Methods+

Mechanics Statistics+

Engineering =

0

0.2

0.4

0.6

0.8

1

0 20 40 60 80 100

Prob

abili

ty o

f Exc

eeda

nce

Cost [million $]

No Epistemic UncertaintyWith Epistemic Uncertainty

Summary:

Page 23: Model  Uncertainty & Sensitivity Measures

Thank You for Your Attention

ICASP 12, Vancouver, Canada, 2015