Assessing uncertainty in estimation of seismic response for PBEE

Summary State-of-the-art approaches to probabilistic assessment of seismic structural reliability are based on simulation of structural behavior via nonlinear dynamic analysis of computer models. Simulations are carried out considering samples of ground motions supposedly drawn from specific populations of signals virtually recorded at the site of interest. This serves to produce samples of structural response to evaluate the failure rate, which in turn allows to compute the failure risk (probability) in a time interval of interest. This procedure alone implies that uncertainty of estimation affects the probabilistic results. The latter is seldom quantified in risk analyses, although it may be relevant. This short paper discusses some basic issues and some simple statistical tools, which can aid the analyst towards the assessment of the impact of sample variability on fragility functions and the resulting seismic structural risk. On the statistical inference side, the addressed strategies are based on consolidated results such as the well-known delta method and on some resampling plans belonging to the bootstrap family. On the structural side, they rely on assumptions and methods typical in performance-based earthquake engineering applications. Copyright © 2017 John Wiley & Sons, Ltd.

[1]  Dimitrios Vamvatsikos,et al.  Applied Incremental Dynamic Analysis , 2004 .

[2]  Franklin A. Graybill,et al.  Introduction to The theory , 1974 .

[3]  Jack W. Baker,et al.  Efficient Analytical Fragility Function Fitting Using Dynamic Structural Analysis , 2015 .

[4]  Chen Qiao-sheng,et al.  A Brief Introduction of FEMA P695—Quantification of Building Seismic Performance Factors , 2013 .

[5]  Dimitrios Vamvatsikos,et al.  Derivation of new SAC/FEMA performance evaluation solutions with second‐order hazard approximation , 2013 .

[6]  C. Cornell,et al.  Vector-valued Intensity Measures Incorporating Spectral Shape For Prediction of Structural Response , 2008 .

[7]  J. Bommer,et al.  Empirical Equations for the Prediction of PGA, PGV, and Spectral Accelerations in Europe, the Mediterranean Region, and the Middle East , 2010 .

[8]  John Hooper,et al.  Evaluation of the FEMA P-695 Methodology for Quantification of Building Seismic Performance Factors | NIST , 2010 .

[9]  Brendon A. Bradley,et al.  A critical examination of seismic response uncertainty analysis in earthquake engineering , 2013 .

[10]  G. Oehlert A note on the delta method , 1992 .

[11]  C. Allin Cornell,et al.  Probabilistic Basis for 2000 SAC Federal Emergency Management Agency Steel Moment Frame Guidelines , 2002 .

[12]  Iunio Iervolino,et al.  Markovian modeling of seismic damage accumulation , 2016 .

[13]  B. Efron The jackknife, the bootstrap, and other resampling plans , 1987 .

[14]  B. Bradley Epistemic Uncertainties in Component Fragility Functions , 2010 .

[15]  C. Allin Cornell,et al.  Structural Seismic Demand Analysis: Consideration of "Collapse" , 2000 .

[16]  I. Iervolino,et al.  Engineering design earthquakes from multimodal hazard disaggregation , 2011 .

[17]  Helmut Krawinkler,et al.  Deterioration Modeling of Steel Components in Support of Collapse Prediction of Steel Moment Frames under Earthquake Loading , 2011 .