Empirical seismic fragility assessment with explicit modeling of spatial ground motion variability

Abstract The earthquake risk to a group of structures can be managed effectively only if accurate fragility models are available. Fragility models are utilized for estimating the likelihood of specific damage states being sustained by the structures given that they are subjected to a specific ground motion intensity. In this study, a new framework is proposed for establishing empirical fragility models for groups of structures based on observed damage distribution. The novelty of the proposed framework method is that it explicitly takes into account the uncertainty arising from the absence of instrumental recordings of the peak motion intensities that had affected the considered structures. Correlation structure of the unknown peak motion intensities experienced by the affected structures and the known peak motions measured at the strong motion stations sites are utilized for this purpose. This correlation structure is established using geospatial ground motion variability models. As an example of the application of the proposed framework, fragility models for multi-story reinforced concrete moment resisting frame buildings are presented. In this application, the damage observations made after the November 17th, 1999 M7.1 Duzce and the May 1st, 2003 M6.4 Bingol earthquakes that occurred in Turkey are considered. The results from the example application demonstrate the effectiveness of the method in establishing fragility models.

[1]  Marios K. Chryssanthopoulos,et al.  Probabilistic evaluation of behaviour factors in EC8-designed R/C frames , 2000 .

[2]  Wilson H. Tang,et al.  Probability concepts in engineering planning and design , 1984 .

[3]  Zekeriya Polat,et al.  Fragility analysis of mid-rise R/C frame buildings , 2006 .

[4]  Aspasia Zerva,et al.  On the spatial variation of seismic ground motions and its effects on lifelines , 1994 .

[5]  Bruce R. Ellingwood,et al.  Modeling Beam-Column Joints in Fragility Assessment of Gravity Load Designed Reinforced Concrete Frames , 2008 .

[6]  Norman A. Abrahamson,et al.  The SMART I Accelerograph Array (1980-1987): A Review , 1987 .

[7]  Ahmet Yakut,et al.  A Screening Procedure for Seismic Risk Assessment in Urban Building Stocks , 2007 .

[8]  Anne S. Kiremidjian,et al.  Bayesian Updating of Fragilities with Application to RC Frames , 1998 .

[9]  Amr S. Elnashai,et al.  Fragility analysis of flat-slab structures , 2004 .

[10]  Khalid M. Mosalam,et al.  Seismic Fragility of LRC Frames with and without Masonry Infill Walls , 1997 .

[11]  Polat Gülkan,et al.  An evaluation of the strong ground motion recorded during the May 1, 2003 Bingol Turkey, earthquake , 2005 .

[12]  E. Ziegel,et al.  Bootstrapping: A Nonparametric Approach to Statistical Inference , 1993 .

[13]  K. Campbell,et al.  NGA Ground Motion Model for the Geometric Mean Horizontal Component of PGA, PGV, PGD and 5% Damped Linear Elastic Response Spectra for Periods Ranging from 0.01 to 10 s , 2008 .

[14]  H. Hong,et al.  Spatial correlation of peak ground motions and response spectra , 2008 .

[15]  S. Akkar,et al.  Displacement-Based Fragility Functions for Low- and Mid-rise Ordinary Concrete Buildings , 2005 .

[16]  Paolo Negro,et al.  How Reliable Are Global Computer Models? Correlation with Large-Scale Tests , 1998 .

[17]  A. Kappos,et al.  Vulnerability assessment and earthquake damage scenarios of the building stock of Potenza (Southern Italy) using Italian and Greek methodologies , 2006 .

[18]  J. Bommer,et al.  Can Earthquake Loss Models be Validated Using Field Observations? , 2008 .

[19]  Alessandro Dazio,et al.  Simulating Maximum and Residual Displacements of RC Structures: I. Accuracy , 2011 .

[20]  J. Baker,et al.  Correlation model for spatially distributed ground‐motion intensities , 2009 .

[21]  Alessandro Dazio,et al.  Simulating Maximum and Residual Displacements of RC Structures: II. Sensitivity , 2011 .

[22]  Bruce R. Ellingwood,et al.  Seismic Risk Assessment of Gravity Load Designed Reinforced Concrete Frames Subjected to Mid-America Ground Motions , 2009 .

[23]  U Yazgan Empirical vulnerability modeling considering geospatial ground motion variability , 2014 .

[24]  Jong Wha Bai,et al.  Seismic retrofit of a reinforced concrete flat-slab structure: Part II — seismic fragility analysis , 2007 .

[25]  H Y Kim,et al.  STATISTICAL ANALYSIS OF FRAGILITY CURVES , 2000 .

[26]  David M. Boore,et al.  Estimated Ground Motion From the 1994 Northridge, California, Earthquake at the Site of the Interstate 10 and La Cienega Boulevard Bridge Collapse, West Los Angeles, California , 2003 .

[27]  Amr S. Elnashai,et al.  Derivation of vulnerability functions for European-type RC structures based on observational data , 2003 .

[28]  M. Altug Erberik,et al.  Fragility-based assessment of typical mid-rise and low-rise RC buildings in Turkey , 2008 .

[29]  John Douglas Seismic network design to detect felt ground motions from induced seismicity , 2013 .

[30]  Anne S. Kiremidjian,et al.  Method for Probabilistic Evaluation of Seismic Structural Damage , 1996 .

[31]  Rui Pinho,et al.  Seismic fragility of Italian RC precast industrial structures , 2015 .

[32]  D. Wald,et al.  On the Use of High-Resolution Topographic Data as a Proxy for Seismic Site Conditions (VS30) , 2009 .

[33]  Paolo Bazzurro,et al.  Modeling spatial correlation of ground motion Intensity Measures for regional seismic hazard and portfolio loss estimation , 2007 .