Damage identification method of suspension bridge structure based on wavelet - artificial immune algorithm

Abstract

Structural damage detection and diagnosis is a very important factor to the structural safety. Wavelet transform combined with artificial immune algorithm can be used for improving the application of artificial intelligence algorithms.for structural damage detection.The result of the simulation and verification by analyzing suspension bridge structure suggest that this approach combines the advantages of wavelet analysis and artificial immune algorithm : quickly and accurately identifying the damage location and calculating the extent of the damage. This method can be used in engineering practice of structural damage detection to improve the efficiency of structural damage identification.

Recent progress and future trends on damage identification methods for bridge structures

“…An et al proposed two model‐free test methods for damage diagnosis of suspender cables, that is, the mean normalized curvature difference of waveform damage feature‐based method and the curvature difference probability of waveform damage feature based method; simulation results indicate that 5% stiffness reduction in long suspender cables can be identified, and small damage in long suspender cables can be more easily diagnosed than in short ones; the method has strong noise immunity, and it changes manual inspection from observation to a more quantified method. Guan et al proposed a method that combines wavelet transform and artificial immune algorithm to detect the damage in the suspension bridge; numerical results show that the proposed method not only can quickly and accurately identify the damage location but also can calculate the extent of the damage.…”

The technology and application of cable force monitoring for spatial cable structure

“…Due to the lack of effective cable force monitoring means for space cable structures, once stress concentration occurs, individual prestressed cables will break and fail, which will affect the normal operation of the structure. It will lead to accidents and irreparable losses (Smedt Elien, et al 2021; M. Rezaiee-Pajand and M. M. Khatami, 2021;Lee Sung Hwa, et al 2009;Song Jong Keol, et al 2008;Deqing Guan et al 2015). At the present stage, due to the relatively closed structure characteristics and construction technology of cable structure, although many scholars have made many beneficial explorations in cable structure monitoring and obtained effective methods, the conditions and characteristics of each method have not been specifically analyzed.…”

Structural Damage Identification Based on the Wavelet Transform and Improved Particle Swarm Optimization Algorithm

“…e relevant case analysis combines wavelet analysis and intelligent algorithms to accurately identify the damage location and severity of the structure [39][40][41]. rough the damage identification of I-beams in relevant experiments, it is found that the method of damage location and severity identification of the I-beam in steel structures is divided into two steps that have high accuracy in theory and practice [42].…”