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A novel WOA-based structural damage identification using weighted modal data and flexibility assurance criterion

机译：基于WOA的基于WOA的结构损坏识别，使用加权模态数据和灵活性保证标准

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摘要

Structural damage identification (SDI) is a crucial step in structural health monitoring. However, some of the existing SDI methods cannot provide enough identification accuracy and efficiency in practice. A novel whale optimization algorithm (WOA) based method is proposed for SDI by weighting modal data and flexibility assurance criterion in this study. At first, the SDI problem is mathematically converted into a constrained optimization problem. Unlike traditional objective function defined using frequencies and mode shapes, a new objective function on the SDI problem is formulated by weighting both modal data and flexibility assurance criterion. Then, the WOA method, due to its good performance of fast convergence and global searching ability, is adopted to provide an accurate solution to the SDI problem, different predator mechanisms are formulated and their probability thresholds are selected. Finally, the performance of the proposed method is assessed by numerical simulations on a simply-supported beam and a 31-bar truss structures. For the given multiple structural damage conditions under environmental noises, the WOA-based SDI method can effectively locate structural damages and accurately estimate severities of damages. Compared with other optimization methods, such as particle swarm optimization and dragonfly algorithm, the proposed WOA-based method outperforms in accuracy and efficiency, which can provide a more effective and potential tool for the SDI problem.
机译：结构损伤识别（SDI）是结构健康监测的关键步骤。但是，一些现有的SDI方法不能在实践中提供足够的识别准确性和效率。通过在本研究中加权模态数据和灵活保证标准，为SDI提出了一种新的鲸鱼优化算法（WOA）方法。首先，SDI问题在数学上被转换为约束的优化问题。与使用频率和模式形状定义的传统目标函数不同，通过加权模态数据和灵活保证标准，制定了SDI问题的新目标函数。然后，由于其快速收敛性和全球搜索能力的良好性能而采用WOA方法来提供对SDI问题的准确解决方案，因此配制了不同的捕食机构，选择了它们的概率阈值。最后，通过简单地支撑的光束和31bar桁架结构的数值模拟来评估所提出的方法的性能。对于在环境噪声下给定的多种结构损伤条件，基于WOA的SDI方法可以有效地定位结构损害和准确估计损害的侵害。与其他优化方法相比，如粒子群优化和蜻蜓算法，所提出的基于WOA的方法以准确性和效率优于效率，这可以为SDI问题提供更有效和潜在的工具。

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