{"title":"全面分析3d打印混凝土的可建造性,并使用基于双线应力-应变准则的破坏曲线进行预测","authors":"Avinaya Tripathi, Sooraj A.O. Nair, N. Neithalath","doi":"10.1016/j.cemconcomp.2022.104424","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":9706,"journal":{"name":"Cement and Concrete Composites","volume":"13 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"A comprehensive analysis of buildability of 3D-printed concrete and the use of bi-linear stress-strain criterion-based failure curves towards their prediction\",\"authors\":\"Avinaya Tripathi, Sooraj A.O. Nair, N. Neithalath\",\"doi\":\"10.1016/j.cemconcomp.2022.104424\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":9706,\"journal\":{\"name\":\"Cement and Concrete Composites\",\"volume\":\"13 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cement and Concrete Composites\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.cemconcomp.2022.104424\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cement and Concrete Composites","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.cemconcomp.2022.104424","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comprehensive analysis of buildability of 3D-printed concrete and the use of bi-linear stress-strain criterion-based failure curves towards their prediction