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PEER EARTHQUAKE SCIENCE-ENGINEERING INTERFACE: STRUCTURAL ENGINEERING RESEARCH PERSPECTIVE Allin Cornell Stanford University SCEC WORKSHOP Oakland, CA October, 2003
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PEER Objective λ C = mean annual rate of State C, e.g., collapse Two Steps: earth science and structural engineering: λ C = ∫P C (X) dλ(X) Where X = Vector Describing Interface
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PEER “Best” Case X = {A 1 (t 1 ), A 2 (t 2 ), …A i (t i )..} for all t i = i∆t, i = 1, 2, …n i.e., an accelerogram · dλ(x) = mean annual rate of observing a “specific” accelerogram, e.g., a(ti) < A(ti) <a(ti) + da for all ∙ Then engineer finds PC(x) for all x ∙ Integrate
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PEER Current Best “Practice” (or Research for Practice) λ C = mean annual rate of State C, e.g., collapse Two Steps: earth science and structural engineering: λ C = ∫P C (IM) dλ(IM) IM = Scalar “Intensity Measure”, e.g., PGA or Sa1 λ(IM) from PSHA P C (IM) found from “random sample” of accelerograms = fraction of cases leading to C
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PEER Current Best Seismology Practice*: ·Disaggregate PSHA at Sa1 at p o, say, 2% in 50 years, by M and R: f M,R|Sa. Repeat for several levels, Sa1 1, Sa1 2, … · For Each Level Select Sample of Records: from a “bin” near mean (or mode) M and R. Same faulting style, hanging/foot wall, soil type, … · Scale the records to the UHS (in some way, e.g., to the S a (T 1 )). *DOE, NRC, PEER, … e.g., see R.K. McGuire: “... Closing the Loop”( BSSA, 1996+/-); Kramer (Text book; 1996 +/-); Stewart et al. (PEER Report, 2002)
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PEER Probabilistic Seismic Hazard Curves
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PEER 241 241 241 157 105 105 105 106 105 105 Beam Column Model with StiffnessBeam Column Model with Stiffness and Strength Degradation in Shear and Flexure using DRAIN2D-UW by J. Pincheira et al. Seismic Design Assessment of RC Structures. (Holiday Inn Hotel in Van Nuys)
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PEER Multiple Stripe Analysis Multiple Stripe Analysis The Statistical Parameters of the “Stripes” are Used to Estimate the Median and Dispersion as a Function of the Spectral Acceleration, Sa1.The Statistical Parameters of the “Stripes” are Used to Estimate the Median and Dispersion as a Function of the Spectral Acceleration, Sa1. C
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PEER Best “Research-for-Practice” (Cont’d) : Analysis: λ C = ∫P C (IM) dλ(IM) ≈ ∑PC(IM k ) ∆ λ(IM k ) Purely Structural Engineering Research Questions: –Accuracy of Numerical Models –Computational Efficiency
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PEER Best “Research-for-Practice”: Analysis: λ C = ∫P C (IM) dλ(IM) ≈ ∑PC(IM k ) ∆ λ(IM k ) · Interface Questions: What are good choices for IM? Efficient? Sufficient? How does one obtain λ(IM) ? How does one do this transparently, easily and practically?
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PEER when IM 1I&2E is employed in lieu of IM 1E, (0.17/0.44) 2 ≈ 1/7 the number of earthquake records and NDA's are needed to estimate a with the same degree of precision IM = Sa1 IM = g(Sd-inelastic; Sa2) (Luco, 2002) BETTER SCALAR IM? More Efficient?
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PEER Van Nuys Transverse Frame: Pinchiera Degrading Strength Model; T = 0.8 sec. 60 PEER records as recorded 5.3<M<7.3.
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PEER Residual-residual plot: drift versus magnitude (given S a ) for Van Nuys. (Ductility range: 0.3 to 6 ) (60 PEER records, as recorded.)
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PEER Residual-residual plot: drift versus magnitude (given S a ) of a very short period (0.1 sec) SDOF bilinear system. (Ductility range 1 to 20.) (47 PEER records, as recorded.)
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PEER Residual-residual plot: drift versus magnitude (given S a ) for 4-second, fracturing-connection model of SAC LA20. Records scaled by 3. Ductility range: mostly 0.5 to 5
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PEER What Can Be Done That is Still Better? Scalar to (Compact) Vector IM Interface Issues: What vector? How to find λ (IM)? Examples: {Sa1, M}, {Sa1, Sa2}, … · PSHA: λ(Sa1, M) = λ(Sa1) f(M| Sa1) (from “Deagg”) λ(Sa1, Sa2) Requires Vector PSHA (SCEC project)
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PEER Vector-Based Response Prediction Vector-Valued PSHA
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PEER Future Interface Needs Engineers: Need to identify “good” scalar IMs and IM vectors. In-house issues: what’s “wrong” with current candidates? When? Why? How to fix? How to make fast and easy, i.e., professionally useful.
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PEER Future Interface Needs (con’t ) Help from Earth scientists: Guidance (e.g., what changes frequency content? Non- ”random” phasing? ) · Earth Science problems: How likely is it? λ(X) λ(X) = ∫P(X \ Y) dλ(Y) X = ground motion variables (ground motion prediction:empirical, synthetic) Y = source variables (e.g., RELM)
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PEER Future Needs (Cont’d) Especially λ(X) for “bad” values of X (Or IM). · Some Special Problems: Nonlinear Soils, Strong Directivity, Aftershocks, Spatial Fields of X.
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PEER Residual-residual plot: drift versus magnitude (given S a ) for 4-second, fracturing-connection model of SAC LA20. Ductility range: 0.2 to 1.5. Same records.
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PEER Non-Linear MDOF Conclusion: (Given S a (T 1 ) level) the median (displacement) EDP is apparently independent of event parameters such as M, R, …*. Implications: (1) the record set used need not be selected carefully selected to match these parameters to those relevant to the site and structure. Comments: Same conclusion found for transverse components. More periods and backbones and EDPs deserve testing to test the limits of applicability of this illustration. *Provisos: Magnitudes not too low relative to general range of usual interest; no directivity or shallow, soft soil issues.
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