Construction risk probability assessment of shield tunneling projects in karst areas based on improved two-dimensional cloud model

IF 7.4 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Tunnelling and Underground Space Technology Pub Date : 2024-12-01 Epub Date: 2024-09-19 DOI:10.1016/j.tust.2024.106086
Huaiyuan Sun , Yi Rui , Yanyun Lu , Yiming Dai , Xiang Wang , Xiaojun Li
{"title":"Construction risk probability assessment of shield tunneling projects in karst areas based on improved two-dimensional cloud model","authors":"Huaiyuan Sun ,&nbsp;Yi Rui ,&nbsp;Yanyun Lu ,&nbsp;Yiming Dai ,&nbsp;Xiang Wang ,&nbsp;Xiaojun Li","doi":"10.1016/j.tust.2024.106086","DOIUrl":null,"url":null,"abstract":"<div><p>Tunnel construction in karst areas presents significant risks due to the complex geological environment and inherent uncertainties. Existing risk assessment methods often struggle to adequately capture and quantify these uncertainties, leading to potentially inaccurate evaluations. This study addresses this gap by developing a novel risk assessment system specifically for shield tunnel engineering in karst areas. This system combines a risk index, considering both frequency and consequence dimensions, with four probabilistic models for quantifying risk levels. These models, based on the spatial geometric characteristics of the two-dimensional cloud model, simulate a large number of outcomes of risky decisions under the influence of uncertainties. Applied to the Guiyang Metro Line 3 construction project, the models effectively determined risk levels, with the Comprehensive Cloud Envelope Model (CCEM) demonstrating high precision and the Comprehensive Cloud Oval Model (CCOM) excelling in computational efficiency. Comparative analysis with existing 2D and 1D cloud models highlights the advantages and wider applicability of the proposed methodology for risk evaluation and control in complex geological environments.</p></div>","PeriodicalId":49414,"journal":{"name":"Tunnelling and Underground Space Technology","volume":"154 ","pages":"Article 106086"},"PeriodicalIF":7.4000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tunnelling and Underground Space Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0886779824005042","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/19 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Tunnel construction in karst areas presents significant risks due to the complex geological environment and inherent uncertainties. Existing risk assessment methods often struggle to adequately capture and quantify these uncertainties, leading to potentially inaccurate evaluations. This study addresses this gap by developing a novel risk assessment system specifically for shield tunnel engineering in karst areas. This system combines a risk index, considering both frequency and consequence dimensions, with four probabilistic models for quantifying risk levels. These models, based on the spatial geometric characteristics of the two-dimensional cloud model, simulate a large number of outcomes of risky decisions under the influence of uncertainties. Applied to the Guiyang Metro Line 3 construction project, the models effectively determined risk levels, with the Comprehensive Cloud Envelope Model (CCEM) demonstrating high precision and the Comprehensive Cloud Oval Model (CCOM) excelling in computational efficiency. Comparative analysis with existing 2D and 1D cloud models highlights the advantages and wider applicability of the proposed methodology for risk evaluation and control in complex geological environments.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于改进的二维云模型的岩溶地区盾构隧道工程施工风险概率评估
由于复杂的地质环境和固有的不确定性,岩溶地区的隧道建设存在巨大风险。现有的风险评估方法往往难以充分捕捉和量化这些不确定性,导致评估结果可能不准确。本研究专门针对岩溶地区的盾构隧道工程开发了一种新型风险评估系统,从而弥补了这一不足。该系统将考虑频率和后果两个维度的风险指数与用于量化风险等级的四个概率模型相结合。这些模型基于二维云模型的空间几何特征,在不确定因素的影响下模拟了大量风险决策的结果。这些模型应用于贵阳地铁 3 号线建设项目,有效确定了风险等级,其中综合云包络模型(CCEM)精度高,综合云椭圆模型(CCOM)计算效率高。与现有二维和一维云模型的对比分析凸显了所提出的方法在复杂地质环境风险评估和控制方面的优势和广泛适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Tunnelling and Underground Space Technology
Tunnelling and Underground Space Technology 工程技术-工程:土木
CiteScore
11.90
自引率
18.80%
发文量
454
审稿时长
10.8 months
期刊介绍: Tunnelling and Underground Space Technology is an international journal which publishes authoritative articles encompassing the development of innovative uses of underground space and the results of high quality research into improved, more cost-effective techniques for the planning, geo-investigation, design, construction, operation and maintenance of underground and earth-sheltered structures. The journal provides an effective vehicle for the improved worldwide exchange of information on developments in underground technology - and the experience gained from its use - and is strongly committed to publishing papers on the interdisciplinary aspects of creating, planning, and regulating underground space.
期刊最新文献
A multi-stage event-preserving denoising approach for microseismic signals via fusion of WOA–VMD, PSR, and AWMF Model test study on instability of tunnel face affected by existing double circular tunnels Thermal performance analysis of energy tunnel segments in a cross-river double-layer shield tunnel True triaxial experimental reproduction and triggering mechanism of arch-bottom rockburst in deep-buried circular tunnels Experimental investigation on smoke control and smoke extraction efficiency of two-point extraction system under longitudinal sloped tunnel fires
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1