Structural Damage Detection Using Modal Strain Energy and Hybrid Multiobjective Optimization

Cha, Young‐Jin; Büyüköztürk, Oral

doi:10.1111/mice.12122

Cited by 192 publications

(114 citation statements)

References 44 publications

(41 reference statements)

Supporting

Mentioning

112

Contrasting

Unclassified

Order By: Relevance

“…Significant efforts have already been devoted to developing dynamic detection methods using various vibration characteristics, such as natural frequencies, [4][5][6] mode shapes, [7][8][9][10][11] modal flexibility, [12][13][14][15] curvature, 11,16 modal strain energy, [17][18][19] and moving load responses. [20][21][22] Radzien´ski et al 10 defined new damage indicators based on the change in natural frequencies and any mode shape (measured or modeled) for beam-like structures. Kopsaftopoulos and Fassois 11 proposed a vibration-based statistical time series method that is capable of effective damage detection, precise localization, and magnitude estimation within a unified stochastic framework.…”

Section: Introductionmentioning

confidence: 99%

Damage localization for beam structure by moving load

Yang

Liu

Sun

et al. 2017

Advances in Mechanical Engineering

View full text Add to dashboard Cite

A static algorithm is presented in this article for damage localization in beam structures by moving load. Central to the damage localization approach is the combination of the moving load technique and the pure bending theory. The first advantage of the presented algorithm is that only a few sensors are needed in the static test. The second advantage of the presented algorithm is that only the deflection parameters of the current structure are needed in damage localization process. The proposed method is applied to a simple supported beam and its feasibility is verified using damage simulations. It was found that the defect location can be identified by inspecting the sudden increase in the curvature of the deflection curve for the beam. The results showed that the presented algorithm is effective on the localization of single damage or multiple damages in the beam structure without baseline data.

show abstract

Section: Introductionmentioning

confidence: 99%

Damage localization for beam structure by moving load

Yang

Liu

Sun

et al. 2017

Advances in Mechanical Engineering

View full text Add to dashboard Cite

show abstract

“…Perera et al [143,193,194] developed an evolutionary (GA and PSO) multi-objective framework for structural damage localization and quantification with objective functions based on the modal flexibilities, frequencies, and modal shapes. Cha and Buyukozturk [195] proposed hybrid multi-objective optimization algorithms based on modal strain energy to detect damages in various three-dimensional steel structures. In general, the gradient-based multi-objective algorithms are recommended for smooth (differentiable) problems but not suitable for explicit time integration, while the evolutionary-based algorithms are recommended for all other cases [174].…”

Section: Multi-objective Optimization Algorithmsmentioning

confidence: 99%

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

2017

View full text Add to dashboard Cite

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.

show abstract

“…The control vector is also expressed as: u = Cu p + Kx, where u p is the pilot's control input vector here set as [12,0], C and K are the gain matrices:…”

Section: Preference Articulation In the Design Of A Fighter Vehicle Cmentioning

confidence: 99%

“…Other examples in computational mechanics and engineering are reported in [12] for structural damage detection, in [67] for selecting the most suitable type of foundation, and in [6] for non-linear system parameter identification and a reduction of the mathematical model. An application to seismic retrofit design with algorithmic distribution over multiple cores and computers has been proposed in [39].…”

Section: Introductionmentioning

confidence: 99%

Progressive preference articulation for decision making in multi-objective optimisation problems

Rostami

Neri

Epitropakis

2017

ICA

View full text Add to dashboard Cite

Abstract.This paper proposes a novel algorithm for addressing multi-objective optimisation problems, by employing a progressive preference articulation approach to decision making. This enables the interactive incorporation of problem knowledge and decision maker preferences during the optimisation process. A novel progressive preference articulation mechanism, derived from a statistical technique, is herein proposed and implemented within a multi-objective framework based on evolution strategy search and hypervolume indicator selection. The proposed algorithm is named the Weighted Z-score Covariance Matrix Adaptation Pareto Archived Evolution Strategy with Hypervolume-sorted Adaptive Grid Algorithm (WZ-HAGA).WZ-HAGA is based on a framework that makes use of evolution strategy logic with covariance matrix adaptation to perturb the solutions, and a hypervolume indicator driven algorithm to select successful solutions for the subsequent generation. In order to guide the search towards interesting regions, a preference articulation procedure composed of four phases and based on the weighted z-score approach is employed. The latter procedure cascades into the hypervolume driven algorithm to perform the selection of the solutions at each generation.Numerical results against five modern algorithms representing the state-of-the-art in multi-objective optimisation demonstrate that the proposed WZ-HAGA outperforms its competitors in terms of both the hypervolume indicator and pertinence to the regions of interest.

show abstract

Structural Damage Detection Using Modal Strain Energy and Hybrid Multiobjective Optimization

Abstract: Modal strain energy (MSE) is a sensitive physical property that can be utilized as a damage index in

Cited by 192 publications

References 44 publications

Damage localization for beam structure by moving load

Damage localization for beam structure by moving load

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

Progressive preference articulation for decision making in multi-objective optimisation problems

Contact Info

Product

Resources

About