Probabilistic dislocation capacity model for mountain tunnel crossing strike–slip creeping fault

Author:

Xu Longjun,Zhu Jingzhou

Abstract

Abstract Fault dislocations significantly affect the performances of cross–fault tunnels. However, there is a lack of rapid and accurate methods for estimating the maximum fault dislocation that tunnels can withstand (i.e., the dislocation capacity of tunnels). This study systematically investigates the dislocation capacity of circular tunnels crossing strike–slip creeping faults while considering uncertainties in the lining parameters, rock strength, and crossing angles. Through pseudostatic numerical simulations, the dislocation capacities of tunnels under various working conditions were determined, and a probabilistic dislocation capacity model was developed using a support vector machine. The proposed model can estimate the probability distribution of the dislocation capacity of a tunnel, with its median closely aligned with the numerical result. Another advantage lies in its direct correlation with the lining parameters, rock strength, and crossing angles. This facilitates a rapid assessment of the tunnel dislocation capacity based on existing parameters. The dislocation capacity and vulnerability curves of a case tunnel are estimated using our probabilistic model, which serves as a demonstration. The results demonstrate that the proposed model is convenient for engineering applications and can assist in the design and optimization of cross–fault tunnels.

Publisher

IOP Publishing

Reference19 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3