Deaggregation of seismic loss of spatially distributed buildings

The catastrophic nature of seismic risk resides in the fact that a group of structures and infrastructure is simultaneously excited by spatially correlated seismic loads due to an earthquake. For this, both earthquake-to-earthquake (inter-event) and site-to-site (intra-event) correlations associated with ground motion prediction equations must be taken into account in assessing seismic hazard and risk at multiple sites. The consideration of spatial correlation of seismic demand affects aggregate seismic losses as well as identified scenario seismic events. To investigate such effects quantitatively, a simulation-based seismic risk model for spatially distributed structures is employed. Analysis results indicate that adequate treatment of spatial correlation of seismic demand is essential and the probability distribution of aggregate seismic loss can be significantly different from those based on the assumptions that seismic excitations are not correlated or fully correlated. Furthermore, the results suggest that identified scenario events by deaggregation in terms of magnitude and distance become more extreme if the spatial correlation is ignored.

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

[2]  Katsu Goda,et al.  Seismic hazard analysis: a comparative study , 2006 .

[3]  Means,et al.  Building construction cost data , 1943 .

[4]  Katsuichiro Goda,et al.  Estimation of Seismic Loss for Spatially Distributed Buildings , 2008 .

[5]  W. B. Joyner,et al.  ESTIMATION OF RESPONSE SPECTRA AND PEAK ACCELERATIONS FROM WESTERN NORTH AMERICAN EARTHQUAKES: AN INTERIM REPORT PART 2 , 1993 .

[6]  H. P. Hong,et al.  Assessment of ductility demand and reliability of bilinear single-degree-of-freedom systems under earthquake loading , 2007 .

[7]  John F. Cassidy,et al.  Variation in Ground Shaking on the Fraser River Delta (Greater Vancouver, Canada) , 2003 .

[8]  Gail M. Atkinson,et al.  Empirical Ground-Motion Relations for Subduction-Zone Earthquakes and Their Application to Cascadia and Other Regions , 2003 .

[9]  Julian J. Bommer,et al.  Modelling Seismic Hazard in Earthquake Loss Models with Spatially Distributed Exposure , 2006 .

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

[11]  Katsu Goda,et al.  A Comparison of Seismic-Hazard and Risk Deaggregation , 2006 .

[12]  Carlos Sousa Oliveira,et al.  Assessing and Managing Earthquake Risk , 2006 .

[13]  Eduardo Miranda,et al.  Probabilistic estimation of maximum inelastic displacement demands for performance‐based design , 2007 .

[14]  R. Mcguire Probabilistic seismic hazard analysis and design earthquakes: Closing the loop , 1995, Bulletin of the Seismological Society of America.

[15]  Dimitrios Vamvatsikos,et al.  Direct Estimation of Seismic Demand and Capacity of Multidegree-of-Freedom Systems through Incremental Dynamic Analysis of Single Degree of Freedom Approximation , 2005 .

[16]  Alex H. Barbat,et al.  Vulnerability Assessment Of Dwelling Buildings , 2008 .

[17]  John Adams,et al.  Fourth generation seismic hazard maps of Canada: values for over 650 Canadian localities intended for the 2005 National Building Code of Canada , 2003 .

[18]  W. Silva,et al.  Strong Ground Motion Attenuation Relationships for Subduction Zone Earthquakes , 1997 .

[19]  G. Atkinson,et al.  Ground-Motion Prediction Equations for the Average Horizontal Component of PGA, PGV, and 5%-Damped PSA at Spectral Periods between 0.01 s and 10.0 s , 2008 .

[20]  C. Cornell,et al.  Disaggregation of seismic hazard , 1999 .

[21]  Katsu Goda,et al.  Orientation-Dependent Ground-Motion Measure for Seismic-Hazard Assessment , 2007 .

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