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Quantifying risk by performance- based earthquake engineering, Cont’d Greg Deierlein Stanford University …with contributions by many 2006 IRCC Workshop.

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Presentation on theme: "Quantifying risk by performance- based earthquake engineering, Cont’d Greg Deierlein Stanford University …with contributions by many 2006 IRCC Workshop."— Presentation transcript:

1 Quantifying risk by performance- based earthquake engineering, Cont’d Greg Deierlein Stanford University …with contributions by many 2006 IRCC Workshop on Use of Risk in Regulation

2 PBEE Assessment Components Decision Variable Intensity Measure Damage Measure Engineering Demand Parameter DV: COLLAPSE DM: Non-simulated failure, e.g., Loss of Vertical Carrying Capacity (LVCC) EDP: Interstory Drift Ratio IM: Sa(T 1 ) + Ground Motions

3 Deterioration Modes & Collapse Scenarios F 1.Deterioration Modes of RC Elements -Simulation vs. Fragility Models 2.Building System Collapse Scenarios -Sidesway Collapse (SC) -Loss in Vertical Load Carrying Capacity (LVCC) 3.Likelihood of Collapse Scenarios -Existing vs. New Construction -“Ordinary” versus “Special” seismic design

4 Realistic RC Component Simulation

5 Example: Criteria for RC Beams (FEMA 273)

6 Sidesway Collapse Modes - SMF 40% of collapses 27% of collapses 17% of collapses 12% of collapses 5% of collapses 2% of collapses

7 7 Incremental Dynamic Analysis – Collapse Median col = 2.2g σ LN, col = 0.36g STRUCTURAL RESPONSE (DRIFT) GROUND MOTION INTENSITY

8 8 Uncertainty – Plastic Rotation Capacity Mean (  ) Plastic Rotation Capacity Reduced (  Plastic Rot. Cap.

9 9 Correlation of Component Variabilities Type A: Correlation of parameters within an element Type B: Correlation between parameters of different elements

10 10 Collapse Capacity – with Modeling Uncert. Median = 2.2g  LN, Total = 0.36 σ LN, Total = 0.64 w/mod. P[collapse |Sa = 0.82g] = 5% 5% Margin 2.7x GROUND MOTION INTENSITY MCE 2% in 50 yrs

11 11 Mean Annual Frequency of Collapse Collapse CDF Hazard Curve Collapse Performance Margin: S a,collapse = 2.7 MCE Probability of collapse under design MCE = 5% MAF col = 1.0 x 10 -4 (about ¼ of the MCE 2% in 50 year ground motion) 2/50

12 Benchmarking Archetype Studies multiple realizations “design uncertainty” Facility Definition PBEE Assessment IM-EDP-DM-DV DV’s: p(collapse) p($ > X) p(D.T. > Y) 2003 Code Compliant - Strength - Stiffness - Capacity Design - Detailing … …

13 30 Archetype Realizations Height: 1, 2, 4, 8, 12 and 20 stories Bay Width: 6 & 9 meters Space vs. Perimeter Frame (A trib /A = 0.1 to 0.2) Strength/Stiffness Distribution (A) step sizes per typical practice (B) weak story (1 st or 1 st -2 nd stories) Perimeter Frame (A trib /A total = 0.16) Space Frame (A trib /A total = 1.0)

14 MAF x 10 -4 Likelihood & Mode of Collapse Mean Annual Frequency (MAF) of collapse: 5 to 25 x 10 -4 1 story2 stories4 stories8 stories12 stories20 stories Perimeter Frames Space Frames

15 Loading & EventMean Annual Frequency Gravity & Wind (LRFD limit state) 7x10 -4 Earthquake (collapse, new RC) 1 x 10 -4 Nuclear Reactor (earthquake hazard) 1 x 10 -5 Fire (flashover, 100m 2 office) 1 x 10 -6 Fire + (1.0D + 0.5L) (flashover, 100m 2 office) 1 x 10 -7 Relative Risk Levels

16 Concluding Remarks PB Methods == Means of Quantifying Performance scientific models and data role of judgment probabilistic vs. scenarios assumptions Performance Targets minimum life safety minimum “convenience” (societal value - cost/benefit) enhanced performance (cost-benefit) Implementation explicit assessment prescriptive methods (calibrated to performance targets) Consensus Guidelines and Standards design professionals, societal representatives, and stakeholders


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