An efficient strategy for identification of delamination in composite beams and connected structures is presented. A spectral finite-element model consisting of a damaged spectral element is used for model-based prediction of the damaged structural response in the frequency domain. A genetic algorithm (GA) specially tailored for damage identification is derived and is integrated with finite-element code for automation. For best application of the GA, sensitivities of various objective functions with respect to delamination parameters are studied and important conclusions are presented. Model-based simulations of increasing complexity illustrate some of the attractive features of the strategy in terms of accuracy as well as computational cos...
This paper presents an approach of inverse damage detection and localization based on model reductio...
Damage detection and identification is one of the most important tasks of proper operation of techni...
WOS: 000392927000002In this study, model based damage identification algorithms were applied for a d...
An efficient strategy for identification of delamination in composite beams and connected structures...
An identification procedure and sensitivity studies on single and multiple delaminations in laminate...
Fibre Bragg grating (FBG) sensors associated with a genetic algorithm (GA) were used to detect and i...
Structural Health Monitoring (SHM) and impact monitoring of composite structures have become importa...
This research work deals with aspects concerned with delamination detection in composite structures ...
The efficiency of genetic algorithms (GAs) and artificial neural networks (ANNs) in the quantitative...
Genetic Algorithms (GAs) are recognized as an alternative class of computational model, which mimic ...
In this paper, we present a new application based on Genetic Algorithm (GA) to detect damage in 3D f...
In recent years, the use of fibre-reinforced composite laminates in aerospace, mechanical, and other...
Abstract: This paper presents an effective method for structural damage detection using the combined...
This paper, which is a part of an ongoing research study, describes a Genetic Algorithm-based approa...
Delamination is currently a difficult detectable form of damage in composite laminate materials. Thi...
This paper presents an approach of inverse damage detection and localization based on model reductio...
Damage detection and identification is one of the most important tasks of proper operation of techni...
WOS: 000392927000002In this study, model based damage identification algorithms were applied for a d...
An efficient strategy for identification of delamination in composite beams and connected structures...
An identification procedure and sensitivity studies on single and multiple delaminations in laminate...
Fibre Bragg grating (FBG) sensors associated with a genetic algorithm (GA) were used to detect and i...
Structural Health Monitoring (SHM) and impact monitoring of composite structures have become importa...
This research work deals with aspects concerned with delamination detection in composite structures ...
The efficiency of genetic algorithms (GAs) and artificial neural networks (ANNs) in the quantitative...
Genetic Algorithms (GAs) are recognized as an alternative class of computational model, which mimic ...
In this paper, we present a new application based on Genetic Algorithm (GA) to detect damage in 3D f...
In recent years, the use of fibre-reinforced composite laminates in aerospace, mechanical, and other...
Abstract: This paper presents an effective method for structural damage detection using the combined...
This paper, which is a part of an ongoing research study, describes a Genetic Algorithm-based approa...
Delamination is currently a difficult detectable form of damage in composite laminate materials. Thi...
This paper presents an approach of inverse damage detection and localization based on model reductio...
Damage detection and identification is one of the most important tasks of proper operation of techni...
WOS: 000392927000002In this study, model based damage identification algorithms were applied for a d...