Review and comparison of methods and benchmarks for automatic modal identification based on stabilization diagram

IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Journal of Traffic and Transportation Engineering-English Edition Pub Date : 2024-04-01 DOI:10.1016/j.jtte.2023.05.007
Min He , Peng Liang , Jiuxian Liu , Zhiqiang Liang
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Abstract

Automatic modal identification via automatically interpreting the stabilization diagram provides key technique in bridge structural health monitoring. This paper reviews the progress in the area of automatic modal identification based on interpreting the stabilization diagram. The whole identification process is divided into four steps from establishing the stabilization diagram to removing the outliers in the identification results. The criteria and algorithms used in each step in the existing studies are carefully summarized and classified. Comparisons between typical methods in cleaning and interpreting the stabilization diagram are also conducted. Real structure benchmarks used in the existing studies to validate the proposed automatic modal identification methods are also summarized. Based on the review and comparison, the specific ratio method for cleaning the stabilization diagram, the hierarchical clustering method for interpreting the stabilization diagram and the adjusted boxplot for removing the outliers in the identification results are the most suitable methods for each step. The key point of automatic modal identification based on interpreting the stabilization diagram has also discussed, and it is recommended to pay more attention to cleaning the stabilization diagram. Future study about automatic modal identification under situation with very few sensors deployed should be more concerned. This review aims to help researchers and practitioners in implementing existing automatic modal identification algorithms effectively and developing more suitable and practical methods for civil engineering structures in the future.

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基于稳定图的模态自动识别方法和基准回顾与比较
通过自动解读稳定图进行模态自动识别是桥梁结构健康监测的关键技术。本文回顾了基于稳定图解释的模态自动识别领域的研究进展。从建立稳定图到去除识别结果中的异常值,整个识别过程分为四个步骤。对现有研究中每个步骤所使用的标准和算法进行了细致的总结和分类。还对清理和解释稳定图的典型方法进行了比较。此外,还总结了现有研究中用于验证拟议自动模态识别方法的真实结构基准。根据回顾和比较,清理稳定图的特定比率法、解释稳定图的分层聚类法和去除识别结果中异常值的调整盒图是各步骤中最合适的方法。此外,还讨论了基于稳定图解释的模态自动识别的关键点,并建议更加重视稳定图的清理。未来关于在传感器部署极少的情况下自动模态识别的研究应更加关注。本综述旨在帮助研究人员和从业人员有效实施现有的模态自动识别算法,并在未来为土木工程结构开发更合适、更实用的方法。
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来源期刊
CiteScore
13.60
自引率
6.30%
发文量
402
审稿时长
15 weeks
期刊介绍: The Journal of Traffic and Transportation Engineering (English Edition) serves as a renowned academic platform facilitating the exchange and exploration of innovative ideas in the realm of transportation. Our journal aims to foster theoretical and experimental research in transportation and welcomes the submission of exceptional peer-reviewed papers on engineering, planning, management, and information technology. We are dedicated to expediting the peer review process and ensuring timely publication of top-notch research in this field.
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