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

作     者：Min He Peng Liang Jiuxian Liu Zhiqiang Liang 

作者机构：School of Architecture and Civil EngineeringXi'an University of Science and TechnologyXi'an 710064China School of HighwayChang'an UniversityXi'an 710064China 

出 版 物：《Journal of Traffic and Transportation Engineering(English Edition)》 (交通运输工程学报（英文版）)

年 卷 期：2024年第11卷第2期

页      面：209-224页

核心收录：

学科分类：08[工学] 0814[工学-土木工程] 0823[工学-交通运输工程] 

基　　金：supported by National Key R&D Program of China(No.2019YFB1600702) the National Natural Science Foundation of China(No.51878059). 

主　　题：Bridge structural health monitoring Automatic modal identification Stabilization diagram Eriteria and methods Real structure benchmarks 

摘      要：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.