Can I read Toward Multivariate Fragility Functions for Seismic Damage and Loss Estimation of High‐rise Buildings on EtoBox?

Toward Multivariate Fragility Functions for Seismic Damage and Loss Estimation of High‐rise Buildings by Pouria Kourehpaz; Carlos Molina Hutt; David Lallemant is a Engineering article available to read on EtoBox.

What is Toward Multivariate Fragility Functions for Seismic Damage and Loss Estimation of High‐rise Buildings about?

## Abstract Data‐driven models for seismic damage and loss assessment of buildings have become more common in recent years due to the availability of large repositories of recorded and synthetic ground motions coupled with structural response simulation data. This paper explores the benefits of using bivariate and multivariate fragility functions to estimate earthquake‐induced damage and economic loss in high‐rise buildings. The dataset used in this study encompasses 15,000 simulations of modern high‐rise reinforced concrete shear wall buildings ranging from eight to 24 stories which are subjected to ground motion records at five different intensity levels. The proposed functions are conditioned on average spectral accelerations and ground motion significant duration. The results indicate that bivariate fragility functions improve damage state prediction success (Brier score) by 16%, and multivariate fragility functions by 24% relative to conventional univariate functions (standard of practice). To develop multivariate functions, nominal and ordinal probit regression models are fit to the dataset. While both models yield satisfactory predictive performance, ordinal functions can le

Who reads Toward Multivariate Fragility Functions for Seismic Damage and Loss Estimation of High‐rise Buildings?

Author

Pouria Kourehpaz; Carlos Molina Hutt; David Lallemant

Publisher

Wiley

Published

2023

Field

Engineering (Physical Sciences)