{"title":"带开口钢筋混凝土梁的抗剪强度预测","authors":"","doi":"10.55228/jtst.13(1).65-78","DOIUrl":null,"url":null,"abstract":"This study investigates the shear behavior of reinforced concrete (RC) beams with web openings. Based on the experimental and numerical data collected, different parameters were analyzed to clarify their influence on the shear capacity strength of the beam. An artificial intelligence (AI) model was proposed to predict the beam’s shear strength. Compared to the experimental data, the AI model is a reliable tool for predicting the shear strength of RC beams with openings.","PeriodicalId":512924,"journal":{"name":"Journal of Transportation Science and Technology","volume":"5 4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction on the shear strength of reinforced concrete beam with openings\",\"authors\":\"\",\"doi\":\"10.55228/jtst.13(1).65-78\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study investigates the shear behavior of reinforced concrete (RC) beams with web openings. Based on the experimental and numerical data collected, different parameters were analyzed to clarify their influence on the shear capacity strength of the beam. An artificial intelligence (AI) model was proposed to predict the beam’s shear strength. Compared to the experimental data, the AI model is a reliable tool for predicting the shear strength of RC beams with openings.\",\"PeriodicalId\":512924,\"journal\":{\"name\":\"Journal of Transportation Science and Technology\",\"volume\":\"5 4\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Transportation Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.55228/jtst.13(1).65-78\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Transportation Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55228/jtst.13(1).65-78","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prediction on the shear strength of reinforced concrete beam with openings
This study investigates the shear behavior of reinforced concrete (RC) beams with web openings. Based on the experimental and numerical data collected, different parameters were analyzed to clarify their influence on the shear capacity strength of the beam. An artificial intelligence (AI) model was proposed to predict the beam’s shear strength. Compared to the experimental data, the AI model is a reliable tool for predicting the shear strength of RC beams with openings.
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