A new approach for crack detection in plate structures using an integrated extended finite element and enhanced vibrating particles system optimization methods

Fathi, Hamed; Vaez, Seyed Rohollah Hoseini; Zhang, Qianyun; Alavi, Amir H.

doi:10.1016/j.istruc.2020.11.017

Cited by 16 publications

(6 citation statements)

References 43 publications

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“…The Enhanced Vibrating Particle System (EVPS) algorithm is a version of the vibrating particle system algorithm (VPS) proposed to improve the performance of VPS algorithm 36 and has been used in several studies in the field of optimization. [37][38][39] VPS algorithm is based on the equations and concepts of free vibration of a single degree of freedom systems with viscous damping. 40 EVPS algorithm stores NB of the best general positions in memory.…”

Section: Enhanced Vibrating Particle System (Evps) Algorithmmentioning

confidence: 99%

A multi-step approach for reliability-based robust design optimization of truss structures

Mehanpour

Vaez

Fathali

2023

Proceedings of the Institution of Mechanical Engineers, Part O:

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There are two general methods of robust design optimization (RDO) and reliability-based robust design optimization (RBRDO) for the optimal design of structures with non-deterministic variables. In the problem-solving process of both RDO and RBRDO, assessing the probabilistic constraints of the problem and the standard deviation of the structural responses is time-consuming and costly. In this study, by presenting a multi-step approach, for a probable optimal solution, the deterministic constraints are first investigated. Then the limit state functions related to probabilistic constraints are computed based on the mean value of random variables (in the RBRDO problem) and in the step of uncertainties effects simulation on the response of the structure, probabilistic constraints are evaluated (in the RBRDO problem). Designs that not meeting the deterministic constraints or in the unsafe area for the mean values of the random variables are not included in calculating the first and second terms of the objective function and reliability assessment. This leads to reduce the volume of calculations. The Monte Carlo simulation method is used to assess the probabilistic constraints, and the EVPS metaheuristic algorithm is used for the optimization process. Three benchmark trusses of 10, 25, and 72 bars were studied to assess the efficiency of the proposed approach. The first objective function in these problems was the mean weight of trusses and the second objective function was the standard deviation of the displacement of a specific node in a certain direction.

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Section: Enhanced Vibrating Particle System (Evps) Algorithmmentioning

confidence: 99%

A multi-step approach for reliability-based robust design optimization of truss structures

Mehanpour

Vaez

Fathali

2023

Proceedings of the Institution of Mechanical Engineers, Part O:

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“…Mishra et al [36] compared the performance of 10 optimization algorithms in vibrational response in large scale unique trusses. And several new optimization algorithms were used to solve the damage identification problems [37][38][39][40][41][42]. presented an approach for damage identification based on improved ANN and damage indicator.…”

Section: Introductionmentioning

confidence: 99%

A hybrid PSO and Grey Wolf Optimization algorithm for static and dynamic crack identification

Althobiani

Khatir

Benaissa

et al. 2022

Theoretical and Applied Fracture Mechanics

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“…Fallah et al [ 44 ] applied the crow search algorithm (CSA) for damage severity assessment of large-scale truss structures. Fathi et al [ 45 ] carried out crack detection in plate structures by the extended finite element method and an enhanced vibrating particles system (EVPS). Du et al [ 46 ] adopted the Jaya algorithm to deal with the damage detection problem of truss and frame structures.…”

Section: Introductionmentioning

confidence: 99%

Visible Particle Series Search Algorithm and Its Application in Structural Damage Identification

Mohebian

Aval

Noori

et al. 2022

Sensors

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Identifying structural damage is an essential task for ensuring the safety and functionality of civil, mechanical, and aerospace structures. In this study, the structural damage identification scheme is formulated as an optimization problem, and a new meta-heuristic optimization algorithm, called visible particle series search (VPSS), is proposed to tackle that. The proposed VPSS algorithm is inspired by the visibility graph technique, which is a technique used basically to convert a time series into a graph network. In the proposed VPSS algorithm, the population of candidate solutions is regarded as a particle series and is further mapped into a visibility graph network to obtain visible particles. The information captured from the visible particles is then utilized by the algorithm to seek the optimum solution over the search space. The general performance of the proposed VPSS algorithm is first verified on a set of mathematical benchmark functions, and, afterward, its ability to identify structural damage is assessed by conducting various numerical simulations. The results demonstrate the high accuracy, reliability, and computational efficiency of the VPSS algorithm for identifying the location and the extent of damage in structures.

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A new approach for crack detection in plate structures using an integrated extended finite element and enhanced vibrating particles system optimization methods

Cited by 16 publications

References 43 publications

A multi-step approach for reliability-based robust design optimization of truss structures

A multi-step approach for reliability-based robust design optimization of truss structures

A hybrid PSO and Grey Wolf Optimization algorithm for static and dynamic crack identification

Visible Particle Series Search Algorithm and Its Application in Structural Damage Identification

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