{"title":"利用人工神经网络从较低龄期的数据预测混凝土力学行为","authors":"J.C. Cassa, G. Floridia, A. R. Souza, R. Oliveira","doi":"10.1109/IPMM.1999.792510","DOIUrl":null,"url":null,"abstract":"The complex mechanical behaviour of concrete is hard to model with traditional mathematical tools. The paper shows how artificial neural networks can be used to predict concrete mechanical strength at the 28/sup th/ day by using experimental results from the 1/sup st/ and 7/sup th/ days.","PeriodicalId":194215,"journal":{"name":"Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Prediction of concrete mechanical behaviour from data at lower ages using artificial neural networks\",\"authors\":\"J.C. Cassa, G. Floridia, A. R. Souza, R. Oliveira\",\"doi\":\"10.1109/IPMM.1999.792510\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The complex mechanical behaviour of concrete is hard to model with traditional mathematical tools. The paper shows how artificial neural networks can be used to predict concrete mechanical strength at the 28/sup th/ day by using experimental results from the 1/sup st/ and 7/sup th/ days.\",\"PeriodicalId\":194215,\"journal\":{\"name\":\"Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296)\",\"volume\":\"96 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPMM.1999.792510\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPMM.1999.792510","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prediction of concrete mechanical behaviour from data at lower ages using artificial neural networks
The complex mechanical behaviour of concrete is hard to model with traditional mathematical tools. The paper shows how artificial neural networks can be used to predict concrete mechanical strength at the 28/sup th/ day by using experimental results from the 1/sup st/ and 7/sup th/ days.