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Van Nuys Sensitivity Study Keith Porter PEER Building Testbed Progress Meeting Richmond Field Station 23 May 2002.

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Presentation on theme: "Van Nuys Sensitivity Study Keith Porter PEER Building Testbed Progress Meeting Richmond Field Station 23 May 2002."— Presentation transcript:

1 Van Nuys Sensitivity Study Keith Porter PEER Building Testbed Progress Meeting Richmond Field Station 23 May 2002

2 Objectives Assess gross sensitivity of damage factor (DF) to uncertainty in basic random variables (X) Assess variability in each X i Assess sensitivity of DF to uncertainty in X i Illustrate with the Van Nuys testbed

3 Methodology, 1/3 Identify basic variables X T = [X 1, X 2,…X N ] in repair cost C = f(X) Assess E[X i ], Var[X i ] for i = 1, 2, … N Assess X i,50 = 50 th percentile of X i Assess X i,10 = 10 th percentile of X i Assess X i,90 = 90 th percentile of X i

4 Methodology, 2/3 1.Describe facility B as a collection of standard assembly types j = 1, 2, … N j with possible damage states d = 1, 2, … N j,d, each with uncertain capacity F j,d, and uncertain repair costs C j,d 2.Structural analysis : EDP = g(GM, B) 3.Damage analysis: for each assembly k, if EDP k > F i,d, then DM k ≥ d 4.Loss analysis: C = (1 + C OP )  j  d N j,d C j,d 5.Damage factor DF = C/RCN (RCN: replacement cost, new)

5 Methodology, 3/3 Calculate baseline C 0 = f(X 1,50, X 2,50, … X N,50 ) C i,10 = f(X 1,50, X 2,50,…X i,10,… X N,50 ): i = 1…N C i,90 = f(X 1,50, X 2,50,…X i,90,… X N,50 ): i = 1…N Swing i = |C i,90 – C i,10 | Sort X i by swing i & plot in a “tornado diagram”

6 Results: X i

7 Results: Tornado Diagram

8 Conclusions For this model & this building, assembly capacity and shaking intensity swamp other uncertainties Important uncertainties omitted, need study: –F-d model selection, R/C joint capacity, difference between field & lab fragility, repair method | damage state, nonunion vs. union, demand surge, … Tornado diagram depicts important RVs Model for UC Science Building? Bridges? Report: www.peertestbeds.net/Crosscutting.htm


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