基于拓扑辅助多目标优化和A0到达时间校正的正交异性钢甲板声发射源定位

IF 8.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL
Jia-Hao Nie , Dan Li , Hao Wang , Tao Yu , Kevin Sze Chiang Kuang
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引用次数: 0

摘要

基于声发射(AE)的正交各向异性钢甲板(OSDs)损伤定位是典型的薄壁空间结构,由于复杂的波传播路径引起的多解问题,仍然具有挑战性。提出了一种基于拓扑辅助多目标优化和A0到达时间校正的鲁棒声发射定位方法。将定位误差函数与模态分析相结合,建立了多目标优化模型。进一步建立了目标函数与顶点数之间的拓扑关系,以辅助搜索过程,并提出了初始到达分量通知A0到达时间的校正策略,以获得更精确的定位。利用非支配排序遗传算法II (NSGA-II)得到优化模型的Pareto最优集,并确定其中心为估计的损伤位置。在全尺寸OSD试件上的实验证明了该方法能够准确定位源自甲板板和u型肋的损伤源。与传统的基于优化的方法和不带到达时间校正的对应方法相比,该方法具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Acoustic emission source location in orthotropic steel decks based on topology-aided multi-objective optimization and A0 arrival time correction
Acoustic emission (AE)-based damage location in orthotropic steel decks (OSDs), typical thin-walled spatial structures, remains challenging due to the multi-solution problem induced by complex wave propagation paths. This study proposes a robust AE location method based on topology-aided multi-objective optimization and A0 arrival time correction. Here, the multi-objective optimization model is presented by fusing the location error function and modal analysis. A topology relationship is further established between objective function and vertex numbers to aid the search process, and an initial arriving component informed A0 arrival time correction strategy is brought forward for a more accurate location. Non-dominated sorting genetic algorithm II (NSGA-II) is utilized to obtain the Pareto optimal set of the optimization model and its center is determined as the estimated damage location. Experimenting on a full-scale OSD specimen proved the capability of the proposed method in accurately locating damage sources originating from both the deck plate and U-rib. It demonstrated superior performance compared to the traditional optimization-based method and counterpart method without arrival time correction.
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来源期刊
Mechanical Systems and Signal Processing
Mechanical Systems and Signal Processing 工程技术-工程:机械
CiteScore
14.80
自引率
13.10%
发文量
1183
审稿时长
5.4 months
期刊介绍: Journal Name: Mechanical Systems and Signal Processing (MSSP) Interdisciplinary Focus: Mechanical, Aerospace, and Civil Engineering Purpose:Reporting scientific advancements of the highest quality Arising from new techniques in sensing, instrumentation, signal processing, modelling, and control of dynamic systems
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