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Potential of Two Metaheuristic Optimization Tools for Damage Localization in Civil Structures

机译：两种用于土木结构损伤定位的元启发式优化工具的潜力

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摘要

In structural health monitoring, the presence of damage is detected and localized by outlining the differences between the initial state and current behavior of a given structure. The problem is often formulated as an optimization problem. In this paper, a highly nonlinear objective function that minimizes the discrepancies between the analytical and experimental features of a structure is introduced. Within a finite- element discretization, some stiffness parameters are chosen as reference variables. Two metaheuristic tools, the artificial bee colony (ABC) algorithm and the firefly algorithm (FA), are applied to proceed the iterations toward the global minima of the objective function. By comparing the identified and analytical stiffness matrices, the damage detection and localization are performed. These methods are applied to a steel structure. The efficiency of the two tools is compared. (C) 2016 American Society of Civil Engineers.
机译：在结构健康监测中，通过概述给定结构的初始状态和当前行为之间的差异来检测并确定损坏的存在。该问题通常被表述为优化问题。本文介绍了一种高度非线性的目标函数，该函数可最大程度地减少结构的分析和实验特征之间的差异。在有限元离散化内，选择一些刚度参数作为参考变量。应用了两种元启发式工具，即人工蜂群算法（ABC）和萤火虫算法（FA），以朝目标函数的全局最小值进行迭代。通过比较识别出的刚度矩阵和解析刚度矩阵，可以进行损伤检测和定位。这些方法适用于钢结构。比较了这两种工具的效率。 （C）2016年美国土木工程师学会。

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  • 来源
    《Journal of aerospace engineering》 |2017年第2期|B4016012.1-B4016012.11|共11页
  • 作者

    Casciati Sara; Elia Lorenzo;

  • 作者单位

    Univ Catania Siracusa, Dept Civil Engn & Architecture DICAr, Piazza Federico Svevia 1, I-96100 Siracusa, Italy;

    Univ Pavia, Dept Civil Engn & Architecture DICAr, Via Ferrata 3, I-27100 Pavia, Italy;

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