通过竞争模型群实现结构的全面损坏识别

IF 8.7 2区 工程技术 Q1 Mathematics Engineering with Computers Pub Date : 2024-04-06 DOI:10.1007/s00366-024-01972-6
Israel Alejandro Hernández-González, Enrique García-Macías
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引用次数: 0

摘要

基于模型的结构健康监测(SHM)损伤识别仍然是文献中的一个未决问题。除了与全尺寸结构建模相关的计算挑战之外,经典的单一模型结构识别(St-Id)方法也无法保证逆校准结果的物理意义。有鉴于此,这项工作引入了一种基于多类数字模型的模型驱动损坏识别新方法,这些数字模型由相互竞争的结构模型群组成,每个模型代表不同的故障机制。前向模型由计算效率高的元模型取代,并利用监测数据进行持续校准。如果检测到结构性能异常,则使用基于贝叶斯信息准则(BIC)的模型选择方法来确定最有可能激活的故障机制。通过两个案例研究,包括一个数值平面桁架和一个真实世界的历史建筑:阿尔罕布拉堡垒中的穆罕默德塔,说明了所建议方法的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Towards a comprehensive damage identification of structures through populations of competing models

Model-based damage identification for structural health monitoring (SHM) remains an open issue in the literature. Along with the computational challenges related to the modeling of full-scale structures, classical single-model structural identification (St-Id) approaches provide no means to guarantee the physical meaningfulness of the inverse calibration results. In this light, this work introduces a novel methodology for model-driven damage identification based on multi-class digital models formed by a population of competing structural models, each representing a different failure mechanism. The forward models are replaced by computationally efficient meta-models, and continuously calibrated using monitoring data. If an anomaly in the structural performance is detected, a model selection approach based on the Bayesian information criterion (BIC) is used to identify the most plausibly activated failure mechanism. The potential of the proposed approach is illustrated through two case studies, including a numerical planar truss and a real-world historical construction: the Muhammad Tower in the Alhambra fortress.

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来源期刊
Engineering with Computers
Engineering with Computers 工程技术-工程:机械
CiteScore
16.50
自引率
2.30%
发文量
203
审稿时长
9 months
期刊介绍: Engineering with Computers is an international journal dedicated to simulation-based engineering. It features original papers and comprehensive reviews on technologies supporting simulation-based engineering, along with demonstrations of operational simulation-based engineering systems. The journal covers various technical areas such as adaptive simulation techniques, engineering databases, CAD geometry integration, mesh generation, parallel simulation methods, simulation frameworks, user interface technologies, and visualization techniques. It also encompasses a wide range of application areas where engineering technologies are applied, spanning from automotive industry applications to medical device design.
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