用于结构损伤检测的饥荒算法和伪动能

IF 4.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Seyederfan Mojtahedi, Amir K. Ghorbani-Tanha, Hossein Rahami
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引用次数: 0

摘要

本研究提出了一种新型的骨骼结构损伤检测框架。引入的方案基于基于优化的模型更新方法。引入了一个新的多人口框架,即饥荒算法,希望能减少所需的目标函数评估次数。此外,利用静态位移模式,提出了一种名为 "伪动能 "的损伤敏感特征。通过利用这一新特征,开发出了一种高效的成本函数。为了跟踪饥荒算法的搜索行为,我们在二维空间中描绘了两个数学基准问题和一个二元桁架损坏检测问题,并展示了使用新特征时搜索空间的变化。四个数值示例(包括三个桁架和一个框架结构)用于评估所提出的损伤检测方法的整体性能。此外,还研究了一个实验性剪力框架,以测试建议方法在实际问题中的性能。实例结果表明,即使在噪声污染条件下,建议的方法也能仅利用前五种振动模式准确识别和量化受损元件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Famine Algorithm and Pseudo-Kinetic Energy for Structural Damage Detection

Famine Algorithm and Pseudo-Kinetic Energy for Structural Damage Detection

In this study, a novel damage detection framework for skeletal structures is presented. The introduced scheme is based on the optimization-based model updating method. A new multipopulation framework, namely, the Famine Algorithm, is introduced that hopes to reduce the number of objective function evaluations needed. Furthermore, using static displacement patterns, a damage-sensitive feature named pseudo-kinetic energy is presented. By exploiting the new feature, an efficient cost function is developed. Two mathematical benchmark problems and a two-membered truss for damage detection problem are depicted in 2D space to track the search behavior of the Famine Algorithm and show the changes in the search space when using the new feature. Four numerical examples, including three trusses and a frame structure, are used to evaluate the overall performance of the proposed damage detection methods. Moreover, an experimental shear frame is studied to test the performance of the suggested method in real-life problems. The obtained results of the examples reveal that the proposed method can identify and quantify the damaged elements accurately by only utilizing the first five vibrating modes, even in noise-contaminated conditions.

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来源期刊
Structural Control & Health Monitoring
Structural Control & Health Monitoring 工程技术-工程:土木
CiteScore
9.50
自引率
13.00%
发文量
234
审稿时长
8 months
期刊介绍: The Journal Structural Control and Health Monitoring encompasses all theoretical and technological aspects of structural control, structural health monitoring theory and smart materials and structures. The journal focuses on aerospace, civil, infrastructure and mechanical engineering applications. Original contributions based on analytical, computational and experimental methods are solicited in three main areas: monitoring, control, and smart materials and structures, covering subjects such as system identification, health monitoring, health diagnostics, multi-functional materials, signal processing, sensor technology, passive, active and semi active control schemes and implementations, shape memory alloys, piezoelectrics and mechatronics. Also of interest are actuator design, dynamic systems, dynamic stability, artificial intelligence tools, data acquisition, wireless communications, measurements, MEMS/NEMS sensors for local damage detection, optical fibre sensors for health monitoring, remote control of monitoring systems, sensor-logger combinations for mobile applications, corrosion sensors, scour indicators and experimental techniques.
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