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Bird mating optimizer for structural damage detection using a hybrid objective function

机译:禽流交配优化器用于结构损伤检测使用混合目标函数

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摘要

A structural damage detection approach based on bird mating optimizer (BMO) in time-frequency domain is proposed in this paper. A hybrid objective function is introduced by minimizing the discrepancies between the measured and calculated natural frequencies and correlation function vector of acceleration of damaged and intact structures. Then the BMO algorithm with a disturbance procedure is developed to solve the objective function. Benefited from the hybrid objective function, only a few number of natural frequencies are needed in the detection process. And the disturbance procedure designed in this paper can enhance the precision of identification. The efficiency and robustness of the proposed method are verified by a planar truss and a frame, a three connected shear buildings and an experimental work. The studies in numerical simulations validate that the proposed objective function and disturbance procedure are helpful to improve the precision of identification. The experimental work shows that the proposed method has the potential of practical application. In addition, comparison among the proposed method and other optimization algorithms, i.e. GA, ABC, L-SHADE and HCLPSO, reveals the superiority of the proposed method in structural damage detection.
机译:本文提出了一种基于禽交配优化器(BMO)的结构损伤检测方法。通过最小化测量和计算的自然频率与加速度的损坏和完整结构的加速度的相关函数向量来引入混合目标函数。然后开发了具有干扰程序的BMO算法来解决客观函数。受益于混合目标函数,检测过程中只需要几个自然频率。并且本文设计的扰动程序可以提高识别的精度。所提出的方法的效率和稳健性通过平面桁架和框架,三个连接的剪切建筑和实验工作来验证。数值模拟中的研究验证了所提出的客观函数和干扰程序有助于提高识别精度。实验工作表明,该方法具有实际应用的潜力。此外,所提出的方法和其他优化算法中的比较,即Ga,ABC,L-SHADE和HCLPSO,揭示了结构损伤检测中提出的方法的优越性。

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