Xinhong Li , Fafu Tian , Renren Zhang , Ziyue Han , Xiuquan Liu
{"title":"Dynamic safety assessment of underground compressed air energy storage string subjected to erosion-corrosion degradation","authors":"Xinhong Li , Fafu Tian , Renren Zhang , Ziyue Han , Xiuquan Liu","doi":"10.1016/j.ress.2025.111070","DOIUrl":null,"url":null,"abstract":"<div><div>Underground compressed air energy storage (UCAES) gets the rapid development over these years. The string as a channel for air injection and extraction is a critical component of UCAES. The erosion-corrosion degradation is an important failure causation of UCAES string. This paper builds a probabilistic approach for dynamic failure assessment of UCAES string subjected to erosion-corrosion degradation. A dynamic Bayesian network (DBN) model is established to present the failure scenario of string, which considers the synergistic of erosion and corrosion. Thus, the real-time failure probabilities of string due to the coupling of erosion and corrosion are estimated. Subsequently, a DBN model incorporating the mathematical synergistic relationship of erosion and corrosion is developed to estimate the degradation rate and failure time of string. The approach is illustrated by a case study. It can be found that it can be an useful tool to guide safety management of UCAES string.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"261 ","pages":"Article 111070"},"PeriodicalIF":9.4000,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reliability Engineering & System Safety","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0951832025002716","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
Underground compressed air energy storage (UCAES) gets the rapid development over these years. The string as a channel for air injection and extraction is a critical component of UCAES. The erosion-corrosion degradation is an important failure causation of UCAES string. This paper builds a probabilistic approach for dynamic failure assessment of UCAES string subjected to erosion-corrosion degradation. A dynamic Bayesian network (DBN) model is established to present the failure scenario of string, which considers the synergistic of erosion and corrosion. Thus, the real-time failure probabilities of string due to the coupling of erosion and corrosion are estimated. Subsequently, a DBN model incorporating the mathematical synergistic relationship of erosion and corrosion is developed to estimate the degradation rate and failure time of string. The approach is illustrated by a case study. It can be found that it can be an useful tool to guide safety management of UCAES string.
期刊介绍:
Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.