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首页> 外文期刊>Journal of computer sciences >An Adaptive Neuro-Fuzzy Inference System Based Modeling for Corrosion-Damaged Reinforced HSC Beams Strengthened with External Glass Fibre Reinforced Polymer Laminates | Science Publications
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An Adaptive Neuro-Fuzzy Inference System Based Modeling for Corrosion-Damaged Reinforced HSC Beams Strengthened with External Glass Fibre Reinforced Polymer Laminates | Science Publications

机译:基于自适应神经模糊推理系统的玻璃纤维增​​强聚合物层合板腐蚀损伤的增强HSC梁建模科学出版物

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> Problem statement: This study presents the results of ANFIS based model proposed for predicting the performance characteristics of reinforced HSC beams subjected to different levels of corrosion damage and strengthened with externally bonded glass fibre reinforced polymer laminates. Approach: A total of 21 beams specimens of size 150, 250
机译: > 问题陈述:本研究介绍了基于ANFIS的模型的结果,该模型用于预测遭受不同程度的腐蚀破坏并用外部粘结玻璃纤维增​​强的HSC增强梁的性能特征增强聚合物层压板。 方法:总共21个大小为150、250的光束样本

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