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Artificial Neural Network–Based Numerical Model to Predict Flexural Capacity of Masonry Panels Strengthened with Textile Reinforced Mortar
Journal of Composites for Construction ( IF 4.6 ) Pub Date : 2021-02-01 , DOI: 10.1061/(asce)cc.1943-5614.0001104 Smitha Gopinath 1 , Abhishek Kumar 2
Journal of Composites for Construction ( IF 4.6 ) Pub Date : 2021-02-01 , DOI: 10.1061/(asce)cc.1943-5614.0001104 Smitha Gopinath 1 , Abhishek Kumar 2
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Abstract Widespread acceptance of textile-reinforced mortar (TRM) systems for various applications would require a universally accepted procedure for the qualification, characterization, and design...
中文翻译：
基于人工神经网络的数值模型预测用纺织增强砂浆加固的砌体板的抗弯能力
摘要 纺织增强砂浆 (TRM) 系统在各种应用中的广泛接受需要一个普遍接受的程序来进行鉴定、表征和设计……
更新日期：2021-02-01
中文翻译：
基于人工神经网络的数值模型预测用纺织增强砂浆加固的砌体板的抗弯能力
摘要 纺织增强砂浆 (TRM) 系统在各种应用中的广泛接受需要一个普遍接受的程序来进行鉴定、表征和设计……
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