Machine learning for predicting long-term deflections in reinforce concrete flexural structures
نویسندگان
چکیده
منابع مشابه
Long-Term Deformations of Concrete Structures
Abstract—Drying is a phenomenon that accompanies the hardening of hydraulic materials. This study is concerned the modelling of drying shrinkage of the hydraulic materials and the prediction of the rate of spontaneous deformations of hydraulic materials during hardening. The model developed takes consideration of the main factors affecting drying shrinkage. There was agreement between drying sh...
متن کاملLong-Term Deformations of Concrete Structures
Abstract—Drying is a phenomenon that accompanies the hardening of hydraulic materials. This study is concerned the modelling of drying shrinkage of the hydraulic materials and the prediction of the rate of spontaneous deformations of hydraulic materials during hardening. The model developed takes consideration of the main factors affecting drying shrinkage. There was agreement between drying sh...
متن کاملLong-Term Deformations of Concrete Structures
Abstract—Drying is a phenomenon that accompanies the hardening of hydraulic materials. This study is concerned the modelling of drying shrinkage of the hydraulic materials and the prediction of the rate of spontaneous deformations of hydraulic materials during hardening. The model developed takes consideration of the main factors affecting drying shrinkage. There was agreement between drying sh...
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This study investigates the impact of accelerated aging conditions on the long-term flexural behavior and ductility of reinforced concrete (RC) members with glass fiber-reinforced polymer (GFRP) bars (RC-GFRP specimen) and steel bars (RC-steel specimen). A total of thirty six specimens were designed with different amounts of reinforcement with three types of reinforcing bars (i.e., helically wr...
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ژورنال
عنوان ژورنال: Journal of Computational Design and Engineering
سال: 2020
ISSN: 2288-5048
DOI: 10.1093/jcde/qwaa010