Inelastic seismic demand estimation of wood-frame houses subjected to mainshock-aftershock sequences

An active aftershock sequence, triggered by a large mainshock, can cause major destruction to urban cities. It is important to quantify the aftershock effects in terms of nonlinear responses of realistic structural models. For this purpose, this study investigates the aftershock effects on seismic fragility of conventional wood-frame houses in south-western British Columbia, Canada, using an extensive set of real mainshock-aftershock earthquake records. For inelastic seismic demand estimation, cloud analysis and incremental dynamic analysis are considered. A series of nonlinear dynamic analyses are carried out by considering different seismic input cases and different analysis approaches. The analysis results indicate that consideration of aftershocks leads to 5–20 % increase of the median inelastic seismic demand curves when a moderate degree of structural response is induced. The findings of this investigation facilitate the extension of the existing approaches for inelastic seismic demand estimation to incorporate the aftershock effects.

[1]  D. Turcotte,et al.  Aftershock Statistics , 2005 .

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

[3]  N. Luco,et al.  Developing fragilities for mainshock-damaged structures through incremental dynamic analysis , 2011 .

[4]  Michael C. Constantinou,et al.  Incremental dynamic analysis of woodframe buildings , 2009 .

[5]  Jonathan P. Stewart,et al.  Evaluation of the seismic performance of a code‐conforming reinforced‐concrete frame building—from seismic hazard to collapse safety and economic losses , 2007 .

[6]  Jorge Ruiz-García,et al.  Mainshock-Aftershock Ground Motion Features and Their Influence in Building's Seismic Response , 2012 .

[7]  R. Shcherbakov,et al.  Statistical analysis of the 2010 M W 7.1 Darfield Earthquake aftershock sequence , 2012 .

[8]  C. Cornell,et al.  Record Selection for Nonlinear Seismic Analysis of Structures , 2005 .

[9]  Gail M. Atkinson,et al.  Effects of Seismicity Models and New Ground-Motion Prediction Equations on Seismic Hazard Assessment for Four Canadian Cities , 2011 .

[10]  Bruce R. Ellingwood,et al.  The Role of Fragility Assessment in Consequence-Based Engineering , 2005 .

[11]  B. Folz,et al.  Cyclic Analysis of Wood Shear Walls , 2001 .

[12]  C. Cornell,et al.  Correlation of Response Spectral Values for Multicomponent Ground Motions , 2006 .

[13]  Andre Filiatrault,et al.  Seismic Analysis of Woodframe Structures. I: Model Formulation , 2004 .

[14]  Iunio Iervolino,et al.  Closed‐form aftershock reliability of damage‐cumulating elastic‐perfectly‐plastic systems , 2014 .

[15]  Quanwang Li,et al.  Performance evaluation and damage assessment of steel frame buildings under main shock–aftershock earthquake sequences , 2007 .

[16]  Gail M. Atkinson,et al.  Probabilistic Characterization of Spatially Correlated Response Spectra for Earthquakes in Japan , 2009 .

[17]  Nicolas Luco,et al.  Probabilistic seismic demand analysis using advanced ground motion intensity measures , 2007 .

[18]  Katsuichiro Goda,et al.  Effects of aftershocks on peak ductility demand due to strong ground motion records from shallow crustal earthquakes , 2012 .

[19]  Andrea Prota,et al.  A decision support system for post-earthquake reliability assessment of structures subjected to aftershocks: an application to L’Aquila earthquake, 2009 , 2011 .

[20]  Carlos E. Ventura,et al.  Regional seismic risk in British Columbia : classification of buildings and development of damage probability functions , 2005 .

[21]  Keiko Saito,et al.  Ground motion characteristics and shaking damage of the 11th March 2011 Mw9.0 Great East Japan earthquake , 2013, Bulletin of Earthquake Engineering.

[22]  Nicolas Luco,et al.  Structure-Specific Scalar Intensity Measures for Near-Source and Ordinary Earthquake Ground Motions , 2007 .

[23]  J. Baker,et al.  A vector‐valued ground motion intensity measure consisting of spectral acceleration and epsilon , 2005 .

[24]  Gee Liek Yeo,et al.  A probabilistic framework for quantification of aftershock ground‐motion hazard in California: Methodology and parametric study , 2009 .

[25]  C. Cornell,et al.  Probability of Occurrence of Velocity Pulses in Near-Source Ground Motions , 2008 .

[26]  Yue-Jun Yin,et al.  Loss Estimation of Light-Frame Wood Construction Subjected to Mainshock-Aftershock Sequences , 2011 .

[27]  Gail M. Atkinson,et al.  Seismic performance of wood‐frame houses in south‐western British Columbia , 2011 .

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

[29]  Changhai Zhai,et al.  Damage spectra for the mainshock–aftershock sequence-type ground motions , 2013 .

[30]  Nicolas Luco,et al.  Does amplitude scaling of ground motion records result in biased nonlinear structural drift responses? , 2007 .

[31]  Jack W. Baker,et al.  Conditional Mean Spectrum: Tool for Ground-Motion Selection , 2011 .

[32]  P. Bazzurro,et al.  DYNAMIC VERSUS STATIC COMPUTATION OF THE RESIDUAL CAPACITY OF A MAINSHOCK-DAMAGED BUILDING TO WITHSTAND AN AFTERSHOCK , 2002 .

[33]  Katsuichiro Goda,et al.  Nonlinear Response Potential of Mainshock-Aftershock Sequences from Japanese Earthquakes , 2012 .