Open Access

REVIEW

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

Chao Zhang¹, Shang-Xi Lai¹, Hua-Ping Wang^1,2,*

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

* Corresponding Author: Hua-Ping Wang. Email:

(This article belongs to the Special Issue: Sensing Data Based Structural Health Monitoring in Engineering)

Structural Durability & Health Monitoring 2025, 19(1), 25-54. https://doi.org/10.32604/sdhm.2024.053662

Received 07 May 2024; Accepted 09 August 2024; Issue published 15 November 2024

Abstract

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 previous 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.

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Keywords

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