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Damage identification of a concrete cantilever beam based on Elman neural network

机译:基于Elman神经网络的混凝土悬臂梁损伤识别。

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摘要

Elman neural network is presented to identify and locate the crack damage of concrete structures in this paper. A cantilever is analyzed by finite element method, and the damage indices of the perfect structure and damaged structure are gained. Then Elman neural network is used to analyze the single damage and multi-damage quantification and damage location. Numerical simulation results show that Elman neural network method can make a better diagnosis for single and multiple damage identification. This method has certain guiding sense to damage identification in actual structures.
机译:本文提出了埃尔曼神经网络来识别和定位混凝土结构的裂纹损伤。利用有限元方法对悬臂进行了分析,得到了理想结构和受损结构的损伤指标。然后使用Elman神经网络分析单个损伤,多损伤量化和损伤位置。数值模拟结果表明,埃尔曼神经网络方法可以对单次和多次损伤识别做出更好的诊断。该方法对实际结构的损伤识别具有一定的指导意义。

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