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Structural Damage Identification Using an Adaptive Multi-stage Optimization Method Based on a Modified Particle Swarm Algorithm

机译:基于改进粒子群算法的自适应多阶段优化方法识别结构损伤

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摘要

An adaptive multi-stage optimization method utilizing a modified particle swarm optimization (MPSO) is proposed here to identify the multiple damage cases of structural systems. First the structural damage problem is defined as a standard optimization problem. An efficient objective function considering the first few natural frequencies of a structure, before and after damage, is utilized for optimization. A modified particle swarm optimization (MPSO) dealing with real values of damage variables is introduced to solve the optimization problem. In order to assess the performance of the proposed method, some illustrative examples with and without considering the measurement noise are tested. Numerical results demonstrate the high accuracy of the method proposed for determining the site and severity of multiple damage cases in the structural systems.
机译:本文提出了一种利用改进的粒子群算法(MPSO)的自适应多阶段优化方法,以识别结构系统的多损伤情况。首先,将结构损坏问题定义为标准优化问题。考虑到结构在损坏前后的前几个固有频率的有效目标函数可用于优化。为了解决该优化问题,引入了一种改进的粒子群优化算法(MPSO)来处理损伤变量的实数值。为了评估所提出方法的性能,测试了一些有和没有考虑测量噪声的示例。数值结果表明,所提出的用于确定结构系统中多个破坏案例的位置和严重性的方法具有很高的准确性。

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