Damage localization and quantification of composite stratified beam structures using residual force method

10.1088/1742-6596/842/1/012028Journal of Physics: Conference Series84211202

Damage detection and quantification in composite beam structure using strain energy and vibration data

10.1088/1742-6596/842/1/012027Journal of Physics: Conference Series84211202

Delamination detection in laminated composite using Virtual crack closure technique (VCCT) and modal flexibility based on dynamic analysis

10.1088/1742-6596/842/1/012084Journal of Physics: Conference Series84211208

Damage localization and quantification of composite beam structures using residual force and optimization

Structural Health Monitoring (SHM) and impact monitoring of composite structures have become important research topics in the recent year. In this research, a non-destructive vibration-based damage detection method is formulated using Genetic Algorithm (GA) and compared with classical method. The robustness and reliability of the capability to locate and to estimate the severity of damage, based on changes in dynamic characteristics of a structure, is investigated. The objective function for the damage identification problem is established by using the residual force method (FRM). Numerical experiments using finite element analysis are performed on composite beams with different damage scenarios in order to clarify the validity of the developed technique. The comparison between estimated and real damage illustrates the efficiency of the algorithm in damage detection. The results show that the present approach is correct and efficient for detecting structural local damages in composite beam structures

Damage detection in laminated composite plates based on local frequency change ratio indicator

This paper presents an application based on Local Frequency Change Ratio (LFCR) for damage assessment of three-layer (0o/90o/0o) laminated composite plates. The indicator is used to help locating single and multiple potential damaged elements. The obtained results indicate that even when increasing damaged elements, LFCR indicator can detect the damage accurately. For more accuracy to prove that the LFCR is much better to identify the damage location in laminated composite, we introduced white Gaussian noise with different levels. The obtained results indicate that even under measurement noise level 2%, the LFCR can identify the actual damage with high precision