{"title":"基于物理信息的神经网络用于多物理阻尼结构系统的系统识别","authors":"Tong Liu, H. Meidani","doi":"10.1061/jenmdt.emeng-7060","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":50205,"journal":{"name":"Journal of Engineering Mechanics","volume":" ","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Physics-Informed Neural Networks for System Identification of Structural Systems with a Multiphysics Damping Model\",\"authors\":\"Tong Liu, H. Meidani\",\"doi\":\"10.1061/jenmdt.emeng-7060\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":50205,\"journal\":{\"name\":\"Journal of Engineering Mechanics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Engineering Mechanics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1061/jenmdt.emeng-7060\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Engineering Mechanics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1061/jenmdt.emeng-7060","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
期刊介绍:
The Journal of Engineering Mechanics covers activity and development in the field of applied mechanics as it relates to civil engineering. Research on bioengineering, computational mechanics, computer-aided engineering, dynamics of structures, elasticity, experimental analysis and instrumentation, fluid mechanics, flow of granular media, inelastic behavior of solids and structures, probabilistic methods, properties of materials, fracture mechanics, stability of structural elements and systems, and turbulence is reported. Typically, published papers describe the development and implementation of new analytical models, innovative numerical methods, and novel experimental methods and results.