Structural Modal Parameter Recognition and Related Damage Identification Methods under Environmental Excitations: A Review  

作　　者：Chao Zhang Shang-Xi Lai Hua-Ping Wang 

机构地区：[1]School of Civil Engineering and Mechanics,Lanzhou University,Lanzhou,730000,China [2]Key Laboratory of Special Functional Materials and Structural Design,Ministry of Education,Lanzhou University,Lanzhou,730000,China

出　　处：《Structural Durability & Health Monitoring》2025年第1期25-54,共30页结构耐久性与健康监测（英文）

基　　金：supported by the Innovation Foundation of Provincial Education Department of Gansu(2024B-005);the Gansu Province National Science Foundation(22YF7GA182);the Fundamental Research Funds for the Central Universities(No.lzujbky2022-kb01)。

摘　　要：Modal parameters can accurately characterize the structural dynamic properties and assess the physical state of the structure.Therefore,it is particularly significant to identify the structural modal parameters according to the monitoring data information in the structural health monitoring(SHM)system,so as to provide a scientific basis for structural damage identification and dynamic model modification.In view of this,this paper reviews methods for identifying structural modal parameters under environmental excitation and briefly describes how to identify structural damages based on the derived modal parameters.The paper primarily introduces data-driven modal parameter recognition methods(e.g.,time-domain,frequency-domain,and time-frequency-domain methods,etc.),briefly describes damage identification methods based on the variations of modal parameters(e.g.,natural frequency,modal shapes,and curvature modal shapes,etc.)and modal validation methods(e.g.,Stability Diagram and Modal Assurance Criterion,etc.).The current status of the application of artificial intelligence(AI)methods in the direction of modal parameter recognition and damage identification is further discussed.Based on the pre-vious analysis,the main development trends of structural modal parameter recognition and damage identification methods are given to provide scientific references for the optimized design and functional upgrading of SHM systems.

关 键 词：Structural health monitoring data information modal parameters damage identification AI method 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]