A Novel Framework for Estimation and Prediction of Direct Economic Earthquake Loss for Regional Buildings

被引：0
|
作者：
Ge, Qi [1 ]
Song, Yinghan [1 ]
Xiong, Feng [1 ,3 ]
Xiong, Hongxing [2 ]
Li, Wenrui [2 ]
Lu, Yang [1 ]
Ran, Mingming [1 ]
Liu, Ye [1 ]
Chen, Jiang [1 ]
机构：
[1] Sichuan Univ, Coll Architecture & Environm, MOE Key Lab Deep Underground Sci & Engn, Chengdu, Peoples R China
[2] China Construct Third Bur First Engn CO LTD, Wuhan, Peoples R China
[3] Sichuan Univ, 24 South Sect 1,Yihuan Rd,Room 133,Adm Bldg, Chengdu 610065, Peoples R China
来源：
JOURNAL OF EARTHQUAKE ENGINEERING | 2023年 / 27卷 / 08期
基金：
中国国家自然科学基金;
关键词：
GIS; neural networks with random weights; direct economic earthquake loss; structure replacement cost; structure loss ratio; SEISMIC VULNERABILITY ASSESSMENT; DISASTER LOSS ASSESSMENT; RESIDENTIAL BUILDINGS; DAMAGE DATA; MODEL; SIMULATION;
D O I：
10.1080/13632469.2022.2112323
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Direct economic earthquake loss (DEEL) estimation and prediction framework was proposed. The basic data of buildings were obtained using GIS. A simplified multi-degree of freedom (SMDOF) calculation model of SSSI was established to calculate the vulnerability curves. Based on GIS, a structure replacement cost calculation method and a structure loss ratio calculation model were proposed for the main structure. Finally, the proposed method was applied to Sichuan University Wangjiang campus. The reinforced concrete (RC) frame structure had lower damage probability than high-rise shear wall structure. The RC structure had the largest total DEEL, DEEL per building and unit area.
引用
收藏
页码：2244 / 2278
页数：35
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