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Research on Damage Identification of Grid Structure Based on Genetic Algorithm

机译:基于遗传算法的网格结构损伤识别研究

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This paper proposes a genetic algorithm based damage identification method for grid structures. The genetic algorithm is used to process the modal information of the structure, and the damage identification of the truss structure is carried out. The stiffness reduction factor of the structural member is used as the optimization variable. The objective function is constructed according to the frequency and vibration mode, and the fitness function is established. The binary coding method is used to improve the crossover and mutation operators. In this paper, a grid structure model is used for numerical simulation analysis and verified by experiments. In the experimental stage, the grid structure is excited by hammering method, and the response data of each node and the modal information of the structure are obtained. Numerical simulation and experimental analysis show that the damage identification method based on genetic algorithm can effectively judge the location and extent of damage.
机译:提出了一种基于遗传算法的网格结构损伤识别方法。利用遗传算法对结构的模态信息进行处理,对桁架结构进行损伤识别。结构构件的刚度降低系数用作优化变量。根据频率和振动模式构造目标函数,并建立适应度函数。二进制编码方法用于改进交叉和变异算子。本文将网格结构模型用于数值仿真分析并通过实验验证。在实验阶段,采用锤击法对网格结构进行激励,得到每个节点的响应数据和模态信息。数值模拟和实验分析表明,基于遗传算法的损伤识别方法可以有效地判断损伤的位置和程度。

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