Damage detection of composite laminate structures using VMD of FRF contaminated by high percentage of noise

Hassani, Sahar; Mousavi, Mohsen; Gandomi, Amir H.

doi:10.1016/j.compstruct.2022.115243

Cited by 20 publications

(7 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can be observed that with the presence of damage, FRF illustrates clear downward trend and slight shifting in the harmonics of the fundamental frequency, especially in the higher mode orders. However, FRF has some limitation due to noise effects 29 and change in environment, that is, temperature and global structural 38 . Thus, more data is required from multiple input measurements to ensure repeatable results with a good coherence.…”

Section: Methodsmentioning

confidence: 99%

“…28 In order to accurately analyze multiple damage positions in steel panels, this study proposed an output-only, baseline-free damage localization technique that combined the FRF curvature approach with the cepstrum methodology 28 and variational mode decomposition. 29 The FRF signal can be generated as a result of original input excitation, which might be used for the suggested methods for damage detection in a laminated composite plate. Despite modifications in the type of excitation, boundary condition, damage position, and damage intensity, the approach requires advance algorithms and complex computational scheme to be successful in identifying damages in laminated composite plates.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A novel index for vibration-based damage detection technique in laminated composite plates under forced vibrations: experimental study

Brethee

Uwayed

Qwam

2023

Structural Health Monitoring

View full text Add to dashboard Cite

In this study, vibration modal analysis has been used to experimentally investigate the detection of fiber breakage (FB) and delamination in laminated composite plates. The modal analysis was performed on two arrangement styles of carbon fiber reinforced polymer (CFRP) laminated plates under forced vibrations. The main contribution in this study is that a new index named Improved Curvature Damage Factor (ICDF) was introduced to detect and localize damages in composite structures. It is a developed version of an earlier index based on the change in mode shape curvature (MSC) of dynamic response. To include the effect of more than one mode shape Cumulative Improved Damage Factor (CICDF) was proposed. The ICDF index was validated with a number of earlier studies that investigated the damage detection in different structures in order to approve the efficiency of this index. A scanning laser vibrometer was also used to experimentally examine the modal-based and forced responses for intact and damaged plates. Various experimental tests were used to verify the advantages of the proposed methodology and its use in structural health monitoring. In addition, the analysis of experimental results showed that the mutation caused by FB is almost double that of the value of delamination peaking.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel index for vibration-based damage detection technique in laminated composite plates under forced vibrations: experimental study

Brethee

Uwayed

Qwam

2023

Structural Health Monitoring

View full text Add to dashboard Cite

show abstract

“…By reducing the modulus of elasticity, local damage was simulated. A noise reduction method was proposed in [ 74 ], using a variational mode decomposition (VMD) algorithm to reduce white noise interference. In [ 75 ], response changes were analyzed using an empirical mode decomposition (EMD) algorithm of the condensed frequency response function (CFRF) contaminated by a high percentage of noise.…”

Section: Structural Health Monitoringmentioning

confidence: 99%

A Systematic Review of Optimization Algorithms for Structural Health Monitoring and Optimal Sensor Placement

Hassani

Dackermann

2023

Sensors

Self Cite

View full text Add to dashboard Cite

In recent decades, structural health monitoring (SHM) has gained increased importance for ensuring the sustainability and serviceability of large and complex structures. To design an SHM system that delivers optimal monitoring outcomes, engineers must make decisions on numerous system specifications, including the sensor types, numbers, and placements, as well as data transfer, storage, and data analysis techniques. Optimization algorithms are employed to optimize the system settings, such as the sensor configuration, that significantly impact the quality and information density of the captured data and, hence, the system performance. Optimal sensor placement (OSP) is defined as the placement of sensors that results in the least amount of monitoring cost while meeting predefined performance requirements. An optimization algorithm generally finds the “best available” values of an objective function, given a specific input (or domain). Various optimization algorithms, from random search to heuristic algorithms, have been developed by researchers for different SHM purposes, including OSP. This paper comprehensively reviews the most recent optimization algorithms for SHM and OSP. The article focuses on the following: (I) the definition of SHM and all its components, including sensor systems and damage detection methods, (II) the problem formulation of OSP and all current methods, (III) the introduction of optimization algorithms and their types, and (IV) how various existing optimization methodologies can be applied to SHM systems and OSP methods. Our comprehensive comparative review revealed that applying optimization algorithms in SHM systems, including their use for OSP, to derive an optimal solution, has become increasingly common and has resulted in the development of sophisticated methods tailored to SHM. This article also demonstrates that these sophisticated methods, using artificial intelligence (AI), are highly accurate and fast at solving complex problems.

show abstract

“…• Support vector machine (SVM): SVM is an algorithm for analyzing data relations. The technique is beneficial for pattern recognition and can be used for regression analysis [242][243][244] [53,263].…”

Section: Data Analysis For Eoc Compensationmentioning

confidence: 99%

“…An SHM system comprises various components, including networks, data transmission systems, data acquisition and processing units, damage identification algorithms, and decision-making procedures [47][48][49]. Depending on the application, various SHM methods have been developed and investigated [42,[50][51][52][53][54].…”

Section: Introductionmentioning

confidence: 99%

Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review

et al. 2023

Self Cite

View full text Add to dashboard Cite

The development of Structural Health Monitoring (SHM) and Non-Destructive Testing (NDT) techniques has rapidly evolved and matured over the past few decades. Advances in sensor technology have facilitated deploying SHM systems for large-scale structures and local NDT of structural members. Although both methods have been successfully applied to identify structural damage in various systems, Environmental and Operational Condition (EOC) variations can influence sensor measurements and mask damage signatures in the structural response. EOCs include environmental conditions, such as temperature, humidity, and wind, as well as operational conditions, such as mass loading, vibration, and boundary conditions. The effect of EOCs can significantly undermine the reliability and robustness of damage assessment technologies and limit their performance. Thus, successful SHM and NDT systems can compensate for changing EOCs. This paper provides a state-of-the-art review of the effects of EOCs on SHM and NDT systems. It presents recent developments in advanced sensing technology, signal processing, and analysis techniques that aim to eliminate the masking effect of EOC variations and increase the damage sensitivity and performance of SHM and NDT systems. The paper concludes with current research challenges, trends, and recommendations for future research directions.

show abstract

Damage detection of composite laminate structures using VMD of FRF contaminated by high percentage of noise

Cited by 20 publications

References 41 publications

A novel index for vibration-based damage detection technique in laminated composite plates under forced vibrations: experimental study

A novel index for vibration-based damage detection technique in laminated composite plates under forced vibrations: experimental study

A Systematic Review of Optimization Algorithms for Structural Health Monitoring and Optimal Sensor Placement

Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review

Contact Info

Product

Resources

About