Detection and Estimation of Damage in Structures Using Imperialist Competitive Algorithm

Bagheri, Abdollah; Razeghi, Hamid Reza; Amiri, Gholamreza Ghodrati

doi:10.1155/2012/154987

Cited by 23 publications

(17 citation statements)

References 12 publications

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“…The performance of the this method has been verified through using a benchmark problem provided by the IASC-ASCE Task Group on Structural Health Monitoring and a number of numerical examples. The results clearly showed the superiority of this method in comparison with energy index method [30].…”

Section: Introductionmentioning

confidence: 85%

A New Damage Detection Method: Big Bang-Big Crunch (BB-BC) Algorithm

Tabrizian

Afshari

Amiri

et al. 2013

Shock and Vibration

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Abstract. The present paper aims to explore damage assessment methodology based on the changes in dynamic parameters properties of vibration of a structural system. The finite-element model is used to apply at an element level. Reduction of the element stiffness is considered for structural damage. A procedure for locating and quantifying damaged areas of the structure based on the innovative Big Bang-Big Crunch (BB-BC) optimization method is developed for continuous variable optimization. For verifying the method a number of damage scenarios for simulated structures have been considered. For the purpose of damage location and severity assessment the approach is applied in three examples by using complete and incomplete modal data. The effect of noise on the accuracy of the results is investigated in some cases.A great unbraced frame with a lot of damaged element is considered to prove the ability of proposed method. More over BB-BC optimization method in damage detection is compared with particle swarm optimizer with passive congregation (PSOPC) algorithm.This work shows that BB-BC optimization method is a feasible methodology to detect damage location and severity while introducing numerous advantages compared to referred method.

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Section: Introductionmentioning

confidence: 85%

A New Damage Detection Method: Big Bang-Big Crunch (BB-BC) Algorithm

Tabrizian

Afshari

Amiri

et al. 2013

Shock and Vibration

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“…The colonial competitive method is a global search technique that has been presented for dealing with different optimization tasks (Atashpaz‐Gargari and Lucas, ). This evolutionary optimization algorithm has shown effective performance in the convergence rate and the global optima solution (Rajabioun et al ., ; Atashpaz‐Gargari et al ., ; Khabbazi et al ., ; Bagheri and Ghodrati Amiri, ).…”

Section: Introductionmentioning

confidence: 99%

Optimal control of structures under earthquake excitation based on the colonial competitive algorithm

Amini

Bagheri

2012

Struct. Design Tall Spec. Build.

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The active control of engineering structures is one of the best methods to reduce structural responses under seismic excitation for the best performance of structures. This study presents an effective approach for the optimal control of structures under strong ground motion using the colonial competitive algorithm. The colonial competitive algorithm was developed over the last few years in an attempt to overcome the inherent limitations of traditional optimize method. The colonial competitive algorithm has been applied due to its ideal performance in optimal control problem. The effectiveness and performance of the proposed method have been investigated through two numerical examples for the response control of earthquake-excited structures. The obtained results have been compared with the Linear Quadratic Regulator (LQR) control algorithm, and the performance of the proposed control approach has been found to be better than the LQR controller.

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“…Another set of structural damage detection methods employs an optimization basis for solving the damage identification problem (Chou and Ghaboussi 2001;Perera and Torres 2006;Perera, Fang, and Huerta 2009;Meruane and Heylen 2011;Bagheri, Razeghi, and Ghodrati Amiri 2012;Kourehli et al 2012;Perera, Marina, and Ruiz 2013;Saada, Arafa, and Nassef 2013). Teughels and De Roeck (2005) defined the damage identification procedure by a finite element model updating scheme and solved this problem by combining two traditional optimization algorithms.…”

Section: Introductionmentioning

confidence: 99%

Optimization-based method for structural damage localization and quantification by means of static displacements computed by flexibility matrix

Hosseinzadeh

Amiri

Koo

2015

Engineering Optimization

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This article presents an effective method for structural damage identification. The damage diagnosis problem is introduced as an optimization problem which is based on computing static displacements by the flexibility matrix. By utilizing this matrix, the complexity of the static displacement measurements in real cases can be overcome. The optimization problem is solved by a fast evolutionary optimization strategy, named the cuckoo optimization algorithm. The performance of the presented method was demonstrated by studying the benchmark problem provided by the IASC-ASCE Task Group on Structural Health Monitoring, and a numerical example of a frame. Moreover, the robustness of the presented approach was investigated in the presence of some prevalent modelling errors, and also when noisy and incomplete modal data are available. Finally, the efficiency of the proposed method was verified by an experimental study of a five-storey shear building structure. All the obtained results show the good performance of the presented method.

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Detection and Estimation of Damage in Structures Using Imperialist Competitive Algorithm

Cited by 23 publications

References 12 publications

A New Damage Detection Method: Big Bang-Big Crunch (BB-BC) Algorithm

A New Damage Detection Method: Big Bang-Big Crunch (BB-BC) Algorithm

Optimal control of structures under earthquake excitation based on the colonial competitive algorithm

Optimization-based method for structural damage localization and quantification by means of static displacements computed by flexibility matrix

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