Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Based on Historical Seismic Damage Data to Rapidly Assessment the Vulnerability of Structures in Rural Village

Version 1 : Received: 9 November 2021 / Approved: 10 November 2021 / Online: 10 November 2021 (08:26:28 CET)

How to cite: Yao, X.; Liang, B.; Sun, B.; Gao, W. Based on Historical Seismic Damage Data to Rapidly Assessment the Vulnerability of Structures in Rural Village. Preprints 2021, 2021110192. https://doi.org/10.20944/preprints202111.0192.v1 Yao, X.; Liang, B.; Sun, B.; Gao, W. Based on Historical Seismic Damage Data to Rapidly Assessment the Vulnerability of Structures in Rural Village. Preprints 2021, 2021110192. https://doi.org/10.20944/preprints202111.0192.v1

Abstract

This study investigated and classified typical structures in rural village and analyzed the vulnerability of various typical types of structures. Based on the statistics of earthquake damages with magnitudes above 5 from 1996 to 2013 in China, the damage matrixes of different types of structures in rural village are obtained. And The vulnerability index and the vulnerability equation of structure are crucial to assess the earthquake losses of typical structures under different magnitudes earthquakes. According to the seismic loss of different types of structures under different earthquake magnitudes, there are possible to improve the seismic resilience of the buildings in rural village. Moreover, the regional vulnerability is analyzed by β probability distribution function, and the comprehensive seismic performance index of different types of agricultural buildings in the region is obtained. The main research is to predict the loss of different types of structures under different earthquake magnitudes in the future, and to provide technical support for different types of building in rural village reinforcement.

Keywords

rural village; earthquake; vulnerability index; vulnerability analysis; damage matrix

Subject

Social Sciences, Safety Research

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