Optimization techniques for damage detection of composite structure: A review

2021 ◽  
Author(s):  
Nikhil P. Raut ◽  
A.B. Kolekar ◽  
S.L. Gombi
Keyword(s):  
Damage Detection ◽  
Composite Structure ◽  
Optimization Techniques

scholarly journals A Time-Domain Structural Damage Detection Method Based on Improved Multiparticle Swarm Coevolution Optimization Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Shao-Fei Jiang ◽  
Si-Yao Wu ◽  
Li-Qiang Dong
Keyword(s):  
Structural Health Monitoring ◽  
Damage Detection ◽  
Health Monitoring ◽  
Structural Damage ◽  
Damage Threshold ◽  
Optimization Techniques ◽  
Local Optimum ◽  
Structural Health ◽  
Civil Infrastructures ◽  
Standard Particle Swarm Optimization

Optimization techniques have been applied to structural health monitoring and damage detection of civil infrastructures for two decades. The standard particle swarm optimization (PSO) is easy to fall into the local optimum and such deficiency also exists in the multiparticle swarm coevolution optimization (MPSCO). This paper presents an improved MPSCO algorithm (IMPSCO) firstly and then integrates it with Newmark’s algorithm to localize and quantify the structural damage by using the damage threshold proposed. To validate the proposed method, a numerical simulation and an experimental study of a seven-story steel frame were employed finally, and a comparison was made between the proposed method and the genetic algorithm (GA). The results show threefold: (1) the proposed method not only is capable of localization and quantification of damage, but also has good noise-tolerance; (2) the damage location can be accurately detected using the damage threshold proposed in this paper; and (3) compared with the GA, the IMPSCO algorithm is more efficient and accurate for damage detection problems in general. This implies that the proposed method is applicable and effective in the community of damage detection and structural health monitoring.

Optimization Techniques for Damage Detection

2008 ◽  
Author(s):  
Keith Worden ◽  
Wieslaw Staszewski ◽  
Graeme Manson ◽  
Aldo Ruotulo ◽  
Cecilia Surace
Keyword(s):  
Damage Detection ◽  
Optimization Techniques

The Summary on Important Damage Detection Technology of Composite Materials

2014 ◽  
Vol 1055 ◽  
pp. 32-37
Author(s):  
Tian Jiao Liu ◽  
Wei Fang Zhang ◽  
Xiao Liang Fang
Keyword(s):  
Composite Materials ◽  
Damage Detection ◽  
Composite Structure ◽  
Ultrasonic Inspection ◽  
Structure Defects ◽  
Testing Method ◽  
Detection Technology ◽  
Radiographic Inspection ◽  
Speckle Detection ◽  
Application Specific

It mainly introduces four methods, permeation testing method, radiographic inspection, ultrasonic inspection and measurement and holographic speckle detection, to test composite structure defects, including their testing principles, field of application, specific testing steps,etc. Among the four nondestructive testing technologies for composite materials, the holographic speckle detection is the most advanced and widely used one and has been being improved.

Damage Detection in Composite Skin Stiffener with Hybrid PZT-FO SHM System

2017 ◽  
Vol 754 ◽  
pp. 367-370 ◽  
Author(s):  
Florian Lambinet ◽  
Zahra Sharif Khodaei
Keyword(s):  
Damage Detection ◽  
Hybrid System ◽  
Composite Structure ◽  
Composite Structures ◽  
Diagnostic System ◽  
Fibre Optic ◽  
Artificial Damage

A hybrid piezoelectric (PZT)/fibre optic diagnostic system has been developed for damage detection in built up composite structures. The hybrid system uses PZT transducers to actuate the structure and fibre optic (FO) sensors to capture the propagating wave. The diagnostic system will then have the advantages of both PZT and FO sensors. The applicability of the system is then tested for detecting an artificial damage at a skin/stiffener interface of a thick composite structure. The response of the FO sensors is then compared to PZT sensors and presented.

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