Structural damage assessment using FRF employing particle swarm optimization

Mohan, S. C.; Maiti, Dipak Kumar; Maity, Damodar

doi:10.1016/j.amc.2013.04.016

Cited by 87 publications

(48 citation statements)

References 24 publications

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“…In this section, we consider a 4-storey (3 bay) steel 2D frame [24], as shown in Fig. 1 (1 − a e )K e , in which K e and K are the stiness matrix of the e-th element and the global stiness matrix of damaged structure, respectively; and a e denotes the damage ratio of the e-th element that is bounded in the range [0, 1].…”

Section: Numerical Examplementioning

confidence: 99%

Damage Detection of 2D Frame Structures using Incomplete Measurements by Optimization Procedure and Model Reduction

Dinh-Cong

Pham-Duy²,

Nguyen-Thoi³

2018

J. ADV. ENG. COMPUT.

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The article presents an effective method for damage assessment of 2D frame structures using incomplete modal data by optimization procedure and model reduction technique. In this proposed method, the structural damage detection problem is defined as an optimization problem, in which a hybrid objective function and the damage severity of all elements are considered as the objective function and the continuous design variables, respectively. The teaching-learning-based optimization (TLBO) algorithm is applied as a powerful optimization tool to solve the problem. In addition, owing to the use of incomplete measurements, an improved reduction system (IRS) technique is adopted to reduce the mass and stiffness matrices of structural finite element model. The efficiency and robustness of the proposed method are validated with a 4-storey (3 bay) steel plane frame involving several damage scenarios without and with measurement noise. The obtained results clearly demonstrate that even the incompleteness and noisy environment of measured modal data, the present method can work properly in locating and estimating damage of the frame structure by utilizing only the first five incomplete modes' data. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Section: Numerical Examplementioning

confidence: 99%

Damage Detection of 2D Frame Structures using Incomplete Measurements by Optimization Procedure and Model Reduction

Dinh-Cong

Pham-Duy²,

Nguyen-Thoi³

2018

J. ADV. ENG. COMPUT.

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“…However, the mathematical relationship between the cause and effect i.e., changes in damage parameter and resulting changes in vibration characteristics, for these problems is quite complex and there exists a large number of local optima which makes such problems difficult to be solved with a conventional optimization technique. In this regard, several authors used recent computational intelligence techniques such as, genetic algorithms (Maity and Tripathi 2005;Na et al 2011;Nobahari et al 2011;Mehrjoo et al 2013), artificial neural network (Tripathi and Maity 2004;Mehrjoo et al 2008;Vallabhaneni and Maity 2011), ant colony optimization (Yu and Xu 2011;Majumdar et al 2012Majumdar et al , 2013, artificial bee colony (Moradi et al 2011) and particle swarm optimization (Kang et al 2012;Nanda et al 2012;Xiang and Liang 2012;Mohan et al 2013) as these methods possess the ability to overcome such problems. Particle swarm optimization (PSO) techniques first proposed by Kennedy and Eberhart (1995) is inspired by behavior of a group of birds while flying to reach an unknown destination.…”

Section: Standard Particle Swarm Optimizationmentioning

confidence: 99%

Crack Assessment in Frame Structures Using Modal Data and Unified Particle Swarm Optimization Technique

Nanda

Maity

Maiti

2014

Advances in Structural Engineering

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The present paper deals with the application of unified particle swarm optimization (UPSO) technique for solving crack assessment problems in frame like structures. UPSO is a scheme for improving performance of standard particle swarm optimization (SPSO) by harnessing its exploration and exploitation ability simultaneously. The objective function formulated for crack assessment purpose uses the changes in natural frequencies and mode shapes as the damage indicators. The efficiency of present crack assessment algorithm is demonstrated by conducting several studies. First, a numerical study conducted among several PSO variants, such as global best SPSO, local best SPSO, PSO with constriction factor, PSO with time varying acceleration coefficient and UPSO for accessing their performance in solving inverse problem for crack assessment. Secondly, the performance of UPSO based algorithm is validated with experimental results. Finally, numerical studies are conducted to investigate the performance of UPSO based algorithm in crack assessment using noisy modal data. The results of these studies indicate that the developed method is capable for crack detection and quantification with satisfactory precision.

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“…Salehi et al [66] presented a damage detection technique based on both the real and imaginary parts of measured FRF shape. Mohan et al [67] evaluated the use of FRFs with the help of the Particle Swarm Optimization technique. Dilena et al [68] presented the interpolation damage detection method using FRF measurements.…”

Section: Frequency Domain Methodsmentioning

confidence: 99%

The State-of-the-Art on Framework of Vibration-Based Structural Damage Identification for Decision Making

2017

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Abstract:Research on detecting structural damage at the earliest possible stage has been an interesting topic for decades. Among them, the vibration-based damage detection method as a global technique is especially pervasive. The present study reviewed the state-of-the-art on the framework of vibration-based damage identification in different levels including the prediction of the remaining useful life of structures and the decision making for proper actions. This framework consists of several major parts including the detection of damage occurrence using response-based methods, building reasonable structural models, selecting damage parameters and constructing objective functions with sensitivity analysis, adopting optimization techniques to solve the problem, predicting the remaining useful life of structures, and making decisions for the next actions. For each part, the commonly used methods were reviewed and the merits and drawbacks were summarized to give recommendations. This framework is aimed to guide the researchers and engineers to implement step by step the structure damage identification using vibration measurements. Finally, the future research work in this field is recommended.

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Structural damage assessment using FRF employing particle swarm optimization

Cited by 87 publications

References 24 publications

Damage Detection of 2D Frame Structures using Incomplete Measurements by Optimization Procedure and Model Reduction

Damage Detection of 2D Frame Structures using Incomplete Measurements by Optimization Procedure and Model Reduction

Crack Assessment in Frame Structures Using Modal Data and Unified Particle Swarm Optimization Technique

The State-of-the-Art on Framework of Vibration-Based Structural Damage Identification for Decision Making

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