@article{ref1,
title="Safety evaluation for deep foundation pit construction in metro station based on DEA-BP neural network",
journal="China safety science journal (CSSJ)",
year="2019",
author="Song, B.",
volume="29",
number="5",
pages="91-96",
abstract="In order to determine the safety level of deep foundation pit construction in metro station, a safety evaluation method for deep foundation pit construction in metro station based on DEA-BP neural network is proposed with the nonlinear relationship and complex dynamics of evaluation index into consideration. Firstly, the safety evaluation index system was established from five aspects including people, devices, environment, management and technology. Then, the index weight was calculated by use of DEA, and the safety level of construction was evaluated by using BP neural network. Lastly, with Xiaoshi station of Chongqing metro line 1 as an example, the construction safety of deep foundation pit in metro station was evaluated by adopting the proposed method. The results show that the safety level of deep foundation pit construction in this station is high and consistent with the actual situation, and the main indicators that affect the safety of construction are safety awareness, mechanical injury, surrounding environment, technical disclosure and seepage damage. © 2019 China Safety Science Journal<p /><p>Language: zh</p>",
language="zh",
issn="1003-3033",
doi="10.16265/j.cnki.issn1003-3033.2019.05.016",
url="http://dx.doi.org/10.16265/j.cnki.issn1003-3033.2019.05.016"
}