{"title":"Hybrid Lattice Particle Modeling of Retrofitting Infrastructure Design under a Blasting Load","authors":"G. Wang, A. Al-ostaz, A. Cheng","doi":"10.1061/(ASCE)NM.2153-5477.0000036","DOIUrl":null,"url":null,"abstract":"This paper presents a numerical method, known as hybrid lattice particle modeling (HLPM), for the study of the reinforcement potential for coating of three-layer functionally designed nonlinear response retrofitting structure on a linear response infrastructure. The three nonlinear materials behave with different strengths as members of the three-layer retrofitting structure. Different arrangements of these three materials are attempted to obtain a good understanding of the intrinsic mechanism to reach an optimal reinforcement performance to the infrastructure. The ultimate application is aimed at the retrofitting of failing infrastructure.","PeriodicalId":90606,"journal":{"name":"Journal of nanomechanics & micromechanics","volume":"1 1","pages":"119-133"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1061/(ASCE)NM.2153-5477.0000036","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of nanomechanics & micromechanics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1061/(ASCE)NM.2153-5477.0000036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents a numerical method, known as hybrid lattice particle modeling (HLPM), for the study of the reinforcement potential for coating of three-layer functionally designed nonlinear response retrofitting structure on a linear response infrastructure. The three nonlinear materials behave with different strengths as members of the three-layer retrofitting structure. Different arrangements of these three materials are attempted to obtain a good understanding of the intrinsic mechanism to reach an optimal reinforcement performance to the infrastructure. The ultimate application is aimed at the retrofitting of failing infrastructure.