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A Crack Identification Approach for Beam-Like Structures under Moving Vehicle using Particle Swarm Optimization

机译:基于粒子群算法的运动车辆横梁结构裂纹识别方法

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摘要

A crack identification method for beam type structures under moving vehicle is proposed. The basic of the method is to formulate damage detection as an inverse problem, and solve for damage locations and extents. With respect to this, an objective function is defined based on the difference of damaged beam dynamic response and the response calculated by the mathematical model of the beam. The optimization problem is solved by the particle swarm optimization (PSO) with linearly increasing inertia weight to obtain crack locations and their depths. By the numerical simulations, it was observed that cracks with depth ratio of 0.1 can be identified with reasonable error by the present method in spite of noise interference of 3%.
机译:提出了一种在移动车辆下梁型结构的裂缝识别方法。该方法的基本原理是将损坏检测公式化为反问题,并解决损坏的位置和程度。对此,基于受损的梁动态响应与梁的数学模型计算出的响应之差定义目标函数。通过线性增加惯性权重以获取裂纹位置及其深度的粒子群优化(PSO)解决了优化问题。通过数值模拟,观察到尽管噪声干扰为3%,但是通过本方法可以以合理的误差识别深度比为0.1的裂纹。

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