A two-step approach for damage detection in laminated composite structures using modal strain energy method and an improved differential evolution algorithm

Vo-Duy, T.; Ho-Huu, V.; Dang-Trung, H.; Nguyen-Thoi, T.

doi:10.1016/j.compstruct.2016.03.027

Cited by 98 publications

(42 citation statements)

References 43 publications

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“…In this example, the free vibration behaviour of the plate is obtained by the finte element method (FEM) using the ANSYS10.0, in which the plate is meshed 10 ×10 of 8-node shell99 element. Same as T. Vo-Duy et al 28 , the two damage scenarios consisting of two and…”

Section: Model Of Damagementioning

confidence: 99%

“…7 41 using a first-order shear deformation theory and T. VoDuy et al 28 using a two-step approach based on modal strain energy method and an improved differential evolution algorithm to detect the damage location and extent. In this example, the free vibration behaviour of the plate is obtained by the finte element method (FEM) using the ANSYS10.0, in which the plate is meshed 10 ×10 of 8-node shell99 element.…”

Section: Model Of Damagementioning

confidence: 99%

“…Differential Evolution (DE) Algorithm is a global search algorithm inspired by Darwin's survival-of-thefittest theory, which can also obtain the optimal solution by three main operators including the mutation, cross and selection [28][29][30] . Provided that the individual of the G th generation is G i X , and…”

Section: Basic Differential Evolution Algorithmmentioning

confidence: 99%

“…Phased approaches such as two-step and multi-stage methods using in detecting both the damage location and extent have been employed to reduce the expensive computational cost. Two-stage method is the most common, in which the possible damage sites are determined in the first stage using certain modal indicators, for examples, the modal strain energy 28 , evidence theory combined with natural frequencies and mode shapes 22 , modal residual vector 29 , modal strain energy and frequency integrated with Bayesian theory 23 , and the damage extents are detected in the next stage by the use of an improved DE 28 , micro-search GA 22 , GA 29 , immune GA 23 with respect to the examples of the first stage. Further more, the multi-stage methods are proposed in few researches.…”

Section: Introductionmentioning

confidence: 99%

“…So far, an increasing number of optimal algorithms such as neural network (NE) 20,21 , Genetic algorithms (GA) 22,23 , particle swarm optimization (PSO) 24,25 , artificial bee colony (ABC) 26,27 , differential evolution (DE) [28][29][30] and wavelet analysis 31,32 etc are widely used in determining the location and extent of structural damage. However, the expensive computational cost and the invalid for dealing with large civil engineering structures of the optimization algorithms still need to be addressed eagerly.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Multi-stage method to identify structural damage using multiple damage location assurance criterion and an improved differential evolution algorithm

Wu¹,

Liu²,

Qin³

et al. 2017

IJCIS

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For the damage identification technique of civil structures, the reduction of the computational cost for methods based on the optimization algorithms is the most crucial step. In this study, a fast multi-stage method is developed that uses the multiple damage location assurance criterion and an improved differential evolution algorithm. In the new method, the suitable damage range is selected in different stages to reduce the computational cost of structural analysis. Five mutation operators are analysized not only in the basic differential evolution algorithm but also in the improved one. A new adaptive scaling factor with a segmented function is proposed which can operate the decay rate to avoid the premature phenomenon. The results of the study show that the precise locations and extents of structural damage are successfully realized. It is also shown that the multi-stage method using the improved differential evolution algorithm is substantially faster as compared to the basic one and can be used as an efficient and powerful measure of structural damage identification.

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Section: Model Of Damagementioning

confidence: 99%

Section: Model Of Damagementioning

confidence: 99%

Section: Basic Differential Evolution Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Multi-stage method to identify structural damage using multiple damage location assurance criterion and an improved differential evolution algorithm

Wu¹,

Liu²,

Qin³

et al. 2017

IJCIS

View full text Add to dashboard Cite

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Anisotropic reduction factor-based damage identification method for fiber-reinforced composite laminates

Wang

Shi

Wang

et al. 2018

Struct Control Health Monit

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Summary Nowadays, the existing damage detection methods for composite structures roughly identify the defects by equivalent means without considering their anisotropy. Owing to this reason, this article is aimed at proposing an anisotropic reduction factor (ARF)‐based damage identification method in view of the description of damage in composite continuum damage mechanics (CDM). On the basis of the proposed method, the adequate damage information including the damage locations, types, and extent will be achieved. The ARF is established referring to the damage model in structures made of isotropic materials utilizing the damage parameter in CDM. To eliminate the dispersion of composite structures, the model updating for the pristine structure is performed. Then a two‐step damage identification for detecting the ARF is put forward. First, the modal strain energy‐based method is utilized to locate the damage, by which the candidate damaged elements can be selected. Here, taking advantage of the improved reduction system method, the damage localization method can be completed with incomplete modal information. Second, the optimization method based on direct search algorithm is adopted to identify the damage type and extent of the candidate elements by minimizing the error of the modal information between the reference model and the damage model. The measurement noises are taken into consideration. Two numerical examples and an experimental example are studied to demonstrate the effectiveness of the proposed method.

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Iterative two-stage approach for identifying structural damage by combining the modal strain energy decomposition method with the multiobjective particle swarm optimization algorithm

Wang

Jiang

2018

Struct Control Health Monit

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Summary An iterative two‐stage structural damage identification approach that combines the modal strain energy decomposition (MSED) method with the multiobjective particle swarm optimization algorithm is presented. The proposed scheme is inspired by the general noniterative two‐stage approach, which attempts to locate damage in the first stage and estimate the severity of damage in the second stage; however, the present approach differs by constructing an iterative MSED indicator to perform damage localization and severity estimation in a cyclic manner. Consequently, false positive indications of damage are gradually suppressed, and the precision of the damage severity estimation is improved as the iteration continues. In addition, a new element activation operation is embedded into the iterative process; in this step, possible false negative indications of damage excluded in the first stage can be activated and subsequently retested to identify damage, thereby reducing the false negative rate. Furthermore, a comparative study is conducted between the iterative two‐stage approach and the general noniterative approach by contemplating a 3‐D structure, and the effects of measurement noise and spatial incompleteness are considered.

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A two-step approach for damage detection in laminated composite structures using modal strain energy method and an improved differential evolution algorithm

Cited by 98 publications

References 43 publications

Multi-stage method to identify structural damage using multiple damage location assurance criterion and an improved differential evolution algorithm

Multi-stage method to identify structural damage using multiple damage location assurance criterion and an improved differential evolution algorithm

Anisotropic reduction factor-based damage identification method for fiber-reinforced composite laminates

Iterative two-stage approach for identifying structural damage by combining the modal strain energy decomposition method with the multiobjective particle swarm optimization algorithm

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