瓦斯爆炸情景下城市公用隧道恢复力评价

IF 4.2 3区 工程技术 Q2 ENGINEERING, CHEMICAL
Xiangfei Wu , Ming Fu , Jingwu Wang , Longfei Hou , Hailun Zhu , Fei Tang
{"title":"瓦斯爆炸情景下城市公用隧道恢复力评价","authors":"Xiangfei Wu ,&nbsp;Ming Fu ,&nbsp;Jingwu Wang ,&nbsp;Longfei Hou ,&nbsp;Hailun Zhu ,&nbsp;Fei Tang","doi":"10.1016/j.jlp.2025.105732","DOIUrl":null,"url":null,"abstract":"<div><div>Urban utility tunnels (UUTs), essential for unified pipeline management, face heightened safety risks during gas leak and explosions. This paper presents a resilience assessment method that integrates Decision-making Trial and Evaluation Laboratory (DEMATEL), Interpretive Structural Modeling (ISM), and Bayesian Network (BN) to enhance system impact resistance and recovery. Expert surveys and literature reviews identify key gas explosion factors, forming a direct influence matrix to quantify their interrelationships. ISM stratifies these factors, highlighting critical indicators such as ventilation, alarm systems, pressure relief, and emergency response. The hierarchical structure is mapped to a BN, where node probabilities are assigned using conditional probability table (CPT), expert evaluations, and fuzzy set theory for dynamic resilience assessment. Case studies reveal a maximum resilience score of 73.8/100 and significant coupling effects among key factors, while sensitivity analysis confirms the model's robustness and accuracy. Based on diagnostics, the paper recommends strategies including optimizing ventilation design, adjusting alarm layouts, refining pressure relief configurations, and reducing emergency response times, thereby offering both theoretical and practical guidance for enhanced safety management.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"98 ","pages":"Article 105732"},"PeriodicalIF":4.2000,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Resilience assessment for urban utility tunnels under gas explosion scenarios\",\"authors\":\"Xiangfei Wu ,&nbsp;Ming Fu ,&nbsp;Jingwu Wang ,&nbsp;Longfei Hou ,&nbsp;Hailun Zhu ,&nbsp;Fei Tang\",\"doi\":\"10.1016/j.jlp.2025.105732\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Urban utility tunnels (UUTs), essential for unified pipeline management, face heightened safety risks during gas leak and explosions. This paper presents a resilience assessment method that integrates Decision-making Trial and Evaluation Laboratory (DEMATEL), Interpretive Structural Modeling (ISM), and Bayesian Network (BN) to enhance system impact resistance and recovery. Expert surveys and literature reviews identify key gas explosion factors, forming a direct influence matrix to quantify their interrelationships. ISM stratifies these factors, highlighting critical indicators such as ventilation, alarm systems, pressure relief, and emergency response. The hierarchical structure is mapped to a BN, where node probabilities are assigned using conditional probability table (CPT), expert evaluations, and fuzzy set theory for dynamic resilience assessment. Case studies reveal a maximum resilience score of 73.8/100 and significant coupling effects among key factors, while sensitivity analysis confirms the model's robustness and accuracy. Based on diagnostics, the paper recommends strategies including optimizing ventilation design, adjusting alarm layouts, refining pressure relief configurations, and reducing emergency response times, thereby offering both theoretical and practical guidance for enhanced safety management.</div></div>\",\"PeriodicalId\":16291,\"journal\":{\"name\":\"Journal of Loss Prevention in The Process Industries\",\"volume\":\"98 \",\"pages\":\"Article 105732\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2025-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Loss Prevention in The Process Industries\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0950423025001901\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Loss Prevention in The Process Industries","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0950423025001901","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0

摘要

城市公用隧道作为统一管道管理的重要组成部分,在燃气泄漏和爆炸过程中面临着日益突出的安全风险。本文提出了一种综合决策试验与评估实验室(DEMATEL)、解释结构建模(ISM)和贝叶斯网络(BN)的弹性评估方法,以提高系统的抗冲击能力和恢复能力。专家调查和文献综述确定了关键的瓦斯爆炸因素,形成了一个直接影响矩阵来量化它们之间的相互关系。ISM对这些因素进行了分层,突出了通风、报警系统、泄压和应急响应等关键指标。将层次结构映射到网络中,利用条件概率表(CPT)、专家评价和模糊集理论对节点概率进行分配,进行动态弹性评估。案例分析表明,该模型的最大弹性得分为73.8/100,关键因素之间存在显著的耦合效应,敏感性分析证实了模型的稳健性和准确性。在诊断的基础上,提出优化通风设计、调整报警布局、优化泄压配置、缩短应急响应时间等策略,为加强安全管理提供理论和实践指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Resilience assessment for urban utility tunnels under gas explosion scenarios
Urban utility tunnels (UUTs), essential for unified pipeline management, face heightened safety risks during gas leak and explosions. This paper presents a resilience assessment method that integrates Decision-making Trial and Evaluation Laboratory (DEMATEL), Interpretive Structural Modeling (ISM), and Bayesian Network (BN) to enhance system impact resistance and recovery. Expert surveys and literature reviews identify key gas explosion factors, forming a direct influence matrix to quantify their interrelationships. ISM stratifies these factors, highlighting critical indicators such as ventilation, alarm systems, pressure relief, and emergency response. The hierarchical structure is mapped to a BN, where node probabilities are assigned using conditional probability table (CPT), expert evaluations, and fuzzy set theory for dynamic resilience assessment. Case studies reveal a maximum resilience score of 73.8/100 and significant coupling effects among key factors, while sensitivity analysis confirms the model's robustness and accuracy. Based on diagnostics, the paper recommends strategies including optimizing ventilation design, adjusting alarm layouts, refining pressure relief configurations, and reducing emergency response times, thereby offering both theoretical and practical guidance for enhanced safety management.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
7.20
自引率
14.30%
发文量
226
审稿时长
52 days
期刊介绍: The broad scope of the journal is process safety. Process safety is defined as the prevention and mitigation of process-related injuries and damage arising from process incidents involving fire, explosion and toxic release. Such undesired events occur in the process industries during the use, storage, manufacture, handling, and transportation of highly hazardous chemicals.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信