Search
CSV
RISConditional Mean Spectrum: Tool for Ground-Motion Selection
Publisher: American Society of Civil Engineers
Abstract: A common goal of dynamic structural analysis is to predict the response of a structure subjected to ground motions having a specified spectral acceleration at a given period. This is important, for example, when coupling ...
Probabilistic Regional Liquefaction Hazard and Risk Analysis: A Case Study of Residential Buildings in Alameda, California
Publisher: American Society of Civil Engineers
Abstract: The impact of liquefaction on a regional scale is not well understood or modeled with traditional approaches. This paper presents a method to quantitatively assess liquefaction hazard and risk on a regional scale, accounting ...
Liquefaction Risk Assessment Using Geostatistics to account for Soil Spatial Variability
Publisher: American Society of Civil Engineers
Abstract: Liquefaction triggering assessments are often performed for individual locations, providing little information in regard to the expected spatial extent of liquefaction events. The present paper proposes a method to quantify ...
Deep Learning–Based Retrofitting and Seismic Risk Assessment of Road Networks
Publisher: ASCE
Abstract: Seismic risk assessment of road systems involves computationally expensive traffic simulations to evaluate the performance of the system. To accelerate this process, this paper develops a neural network surrogate model ...
Evaluation of Conditional Mean Spectra Code Criteria for Ground Motion Selection
Publisher: ASCE
Abstract: The choice of spectral targets for ground motion selection has a strong impact on structural demands resulting from nonlinear time history analysis. In particular, the conditional mean spectrum (CMS) has been recognized ...
Integrating Place Attachment into Housing Recovery Simulations to Estimate Population Losses
Publisher: ASCE
Abstract: Following a disaster, residents of a community may be displaced from their damaged homes, leading to expensive and lengthy disruption, with many choosing to move away permanently. Population losses may hinder recovery and ...
Optimal Bridge Retrofitting Selection for Seismic Risk Management Using Genetic Algorithms and Neural Network–Based Surrogate Models
Publisher: ASCE
Abstract: This study used genetic algorithms as part of an optimization framework to directly minimize the expected impacts of road network disruption triggered by seismic events. This minimization is achieved by selecting an optimal ...
Uncovering Drivers of Atmospheric River Flood Damage Using Interpretable Machine Learning
Publisher: American Society of Civil Engineers
Abstract: The intensity of an atmospheric river (AR) is only one of the factors influencing the damage it will cause. We use random forest models fit to hazard, exposure, and vulnerability data at different spatial and temporal ...
Accounting for Ground-Motion Spectral Shape Characteristics in Structural Collapse Assessment through an Adjustment for Epsilon
Publisher: American Society of Civil Engineers
Abstract: One of the challenges of assessing structural collapse performance is the appropriate selection of ground motions for use in the nonlinear dynamic collapse simulation. The ground motions should represent characteristics ...
Earthquake Risk of Gas Pipelines in the Conterminous United States and Its Sources of Uncertainty
Publisher: ASCE
Abstract: Relatively little research has been conducted to systematically quantify the nationwide earthquake risk of gas pipelines in the US; simultaneously, national guidance is limited for operators across the country to consistently ...