{"title":"A review of artificial intelligence in dam engineering","authors":"Wenxuan Cao , Xinbin Wu , Junjie Li , Fei Kang","doi":"10.1016/j.iintel.2024.100122","DOIUrl":null,"url":null,"abstract":"<div><div>Artificial Intelligence (AI) is an import driving force to promote the development of information, digitalization, and intelligence of dam in all aspects, and it brings about unprecedented changes to dam engineering. But up until this point, its application in dam has not been thoroughly reviewed. In order to clarify the current status of AI research and application in dam, this paper retrieves papers from the world's major databases over the last 20 years and summarizes the results by analyzing the abstracts or full of these papers. First, the types of AI techniques used at dam are identified, as well as the task orientation of each technique. Second, from the perspective of the dam lifecycle, the application of AI in exploration, construction and operation and maintenance is reviewed. Finally, the challenges of AI in dam application are discussed from the application level and the technical level, and the key research directions that need to be further solved in the future are prospected.</div></div>","PeriodicalId":100791,"journal":{"name":"Journal of Infrastructure Intelligence and Resilience","volume":"4 1","pages":"Article 100122"},"PeriodicalIF":0.0000,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Infrastructure Intelligence and Resilience","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772991524000410","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial Intelligence (AI) is an import driving force to promote the development of information, digitalization, and intelligence of dam in all aspects, and it brings about unprecedented changes to dam engineering. But up until this point, its application in dam has not been thoroughly reviewed. In order to clarify the current status of AI research and application in dam, this paper retrieves papers from the world's major databases over the last 20 years and summarizes the results by analyzing the abstracts or full of these papers. First, the types of AI techniques used at dam are identified, as well as the task orientation of each technique. Second, from the perspective of the dam lifecycle, the application of AI in exploration, construction and operation and maintenance is reviewed. Finally, the challenges of AI in dam application are discussed from the application level and the technical level, and the key research directions that need to be further solved in the future are prospected.