Location

San Diego, California

Session Start Date

5-24-2010

Session End Date

5-29-2010

Abstract

Arias Intensity (Ia) has been identified as an efficient intensity measure for the purpose of estimating the likelihood and extent of landslides. This efficiency implies that Arias intensity may logically be used within earthquake loss estimation applications in order to ultimately estimate the damage to spatially-distributed systems or portfolios. In order to estimate the effects of ground motions on such spatially-distributed systems it is important to take into account the spatial correlation of the intensity measure. However, existing landslide loss-estimation models, which use Ia as an input, do not take this aspect of the ground motion into account. Due to the areal nature of landslides, accounting for the spatial distribution of Ia is important if one wishes to accurately predict the probability of landslides occurring, and their subsequent displacements. In this paper, a model for the spatial correlation of Arias intensity is proposed. In order to obtain this model, a new empirical prediction equation for Arias intensity is first developed. The empirical predictive model is developed using recordings from the PEER NGA database while the model for spatial correlation makes use of the well-recorded events from this database, i.e. the Northridge and Chi-Chi earthquakes.

Department(s)

Civil, Architectural and Environmental Engineering

Appears In

International Conferences on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics

Meeting Name

Fifth Conference

Publisher

Missouri University of Science and Technology

Publication Date

5-24-2010

Document Version

Final Version

Rights

© 2010 Missouri University of Science and Technology, All rights reserved.

Document Type

Article - Conference proceedings

File Type

text

Language

English

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May 24th, 12:00 AM May 29th, 12:00 AM

Incorporation of the Spatial Correlation of Arias Intensity Within Earthquake Loss Estimation

San Diego, California

Arias Intensity (Ia) has been identified as an efficient intensity measure for the purpose of estimating the likelihood and extent of landslides. This efficiency implies that Arias intensity may logically be used within earthquake loss estimation applications in order to ultimately estimate the damage to spatially-distributed systems or portfolios. In order to estimate the effects of ground motions on such spatially-distributed systems it is important to take into account the spatial correlation of the intensity measure. However, existing landslide loss-estimation models, which use Ia as an input, do not take this aspect of the ground motion into account. Due to the areal nature of landslides, accounting for the spatial distribution of Ia is important if one wishes to accurately predict the probability of landslides occurring, and their subsequent displacements. In this paper, a model for the spatial correlation of Arias intensity is proposed. In order to obtain this model, a new empirical prediction equation for Arias intensity is first developed. The empirical predictive model is developed using recordings from the PEER NGA database while the model for spatial correlation makes use of the well-recorded events from this database, i.e. the Northridge and Chi-Chi earthquakes.