Chenyushu Wang , Baoping Cai , Yiliu Liu , Yixin Zhao , Yanping Zhang , Zhaoyi Pan
{"title":"工程弹性的系统回顾:海洋工程中的挑战与机遇","authors":"Chenyushu Wang , Baoping Cai , Yiliu Liu , Yixin Zhao , Yanping Zhang , Zhaoyi Pan","doi":"10.1016/j.ress.2025.111384","DOIUrl":null,"url":null,"abstract":"<div><div>Engineering resilience is used to measure the ability of a system to absorb or resist damages and quickly restore its original function after destructive events occur. The increasing probability of unavoidable destructive events, and the serious consequences of damages due to system complexity, have led to the widespread application and development of engineering resilience in the past decade. This article reviews the progress of engineering resilience from 2014 to the present, proposing a general framework for developing resilience metrics. Special attention is paid to the five commonly used resilience modeling methods in resilience evaluation. The application scenarios, advantages, and disadvantages are investigated. Ocean engineering is highly susceptible to complex subsea environments, harsh working conditions, and cascading failures. Destructive events can lead to decrease in oil and gas production, or serious consequences of casualties, property damage, and ocean environmental pollution. The challenges and research directions on resilience in ocean engineering are presented, focusing on the resilience metric of the entire lifecycle, resilience evaluation of giant systems under random multiple risks, resilience maintenance driven by economic capability, resilience modeling with artificial intelligence, and resilience verification with digital twin technology.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"264 ","pages":"Article 111384"},"PeriodicalIF":11.0000,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A systematic review of engineering resilience: challenges and opportunities in ocean engineering\",\"authors\":\"Chenyushu Wang , Baoping Cai , Yiliu Liu , Yixin Zhao , Yanping Zhang , Zhaoyi Pan\",\"doi\":\"10.1016/j.ress.2025.111384\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Engineering resilience is used to measure the ability of a system to absorb or resist damages and quickly restore its original function after destructive events occur. The increasing probability of unavoidable destructive events, and the serious consequences of damages due to system complexity, have led to the widespread application and development of engineering resilience in the past decade. This article reviews the progress of engineering resilience from 2014 to the present, proposing a general framework for developing resilience metrics. Special attention is paid to the five commonly used resilience modeling methods in resilience evaluation. The application scenarios, advantages, and disadvantages are investigated. Ocean engineering is highly susceptible to complex subsea environments, harsh working conditions, and cascading failures. Destructive events can lead to decrease in oil and gas production, or serious consequences of casualties, property damage, and ocean environmental pollution. The challenges and research directions on resilience in ocean engineering are presented, focusing on the resilience metric of the entire lifecycle, resilience evaluation of giant systems under random multiple risks, resilience maintenance driven by economic capability, resilience modeling with artificial intelligence, and resilience verification with digital twin technology.</div></div>\",\"PeriodicalId\":54500,\"journal\":{\"name\":\"Reliability Engineering & System Safety\",\"volume\":\"264 \",\"pages\":\"Article 111384\"},\"PeriodicalIF\":11.0000,\"publicationDate\":\"2025-06-20\",\"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/S095183202500585X\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reliability Engineering & System Safety","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S095183202500585X","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}
A systematic review of engineering resilience: challenges and opportunities in ocean engineering
Engineering resilience is used to measure the ability of a system to absorb or resist damages and quickly restore its original function after destructive events occur. The increasing probability of unavoidable destructive events, and the serious consequences of damages due to system complexity, have led to the widespread application and development of engineering resilience in the past decade. This article reviews the progress of engineering resilience from 2014 to the present, proposing a general framework for developing resilience metrics. Special attention is paid to the five commonly used resilience modeling methods in resilience evaluation. The application scenarios, advantages, and disadvantages are investigated. Ocean engineering is highly susceptible to complex subsea environments, harsh working conditions, and cascading failures. Destructive events can lead to decrease in oil and gas production, or serious consequences of casualties, property damage, and ocean environmental pollution. The challenges and research directions on resilience in ocean engineering are presented, focusing on the resilience metric of the entire lifecycle, resilience evaluation of giant systems under random multiple risks, resilience maintenance driven by economic capability, resilience modeling with artificial intelligence, and resilience verification with digital twin technology.
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.