A comparative study on crack identification of structures from the changes in natural frequencies using GA and PSO

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

doi:10.1108/ec-02-2013-0061

Cited by 25 publications

(8 citation statements)

References 29 publications

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“…Their analyses on different water distribution networks uncovered that the proposed hybrid model was capable of exploring the optimal combination of pipe diameters with minimal computational effort. Mohan et al [293] showcased the efficacy of PSO and GA in damage assessment of structures, for early detection of cracks, corrosion, and structural failure in aging structures. The results showed the effectiveness of PSO in crack identification and the possibility of implementing it in a real-time structural health monitoring system for aircraft and civil structures.…”

Section: Civil Engineeringmentioning

confidence: 99%

A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

Zhang

Wang

2015

Mathematical Problems in Engineering

648

380

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Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used optimization techniques. This survey presented a comprehensive investigation of PSO. On one hand, we provided advances with PSO, including its modifications (including quantum-behaved PSO, bare-bones PSO, chaotic PSO, and fuzzy PSO), population topology (as fully connected, von Neumann, ring, star, random, etc.), hybridization (with genetic algorithm, simulated annealing, Tabu search, artificial immune system, ant colony algorithm, artificial bee colony, differential evolution, harmonic search, and biogeography-based optimization), extensions (to multiobjective, constrained, discrete, and binary optimization), theoretical analysis (parameter selection and tuning, and convergence analysis), and parallel implementation (in multicore, multiprocessor, GPU, and cloud computing forms). On the other hand, we offered a survey on applications of PSO to the following eight fields: electrical and electronic engineering, automation control systems, communication theory, operations research, mechanical engineering, fuel and energy, medicine, chemistry, and biology. It is hoped that this survey would be beneficial for the researchers studying PSO algorithms.

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Section: Civil Engineeringmentioning

confidence: 99%

A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

Zhang

Wang

2015

Mathematical Problems in Engineering

648

380

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“…Here γ 1 and γ 2 represents two random numbers between 0 and 1, ϕ is an inertia term uniformly decreasing from 0.9 to 0.4 with generations and α 1 and α 2 are two acceleration constants set to 2 (Perez and Behdinan, 2007). Several studies have pointed out the superiority of PSO algorithm over the more conventional heuristic algorithms such as genetic algorithm for inverse problem applications (Mohan et al , 2014; Mouser and Dunn, 2005).…”

Section: Particle Swarm Optimization (Pso) Algorithmmentioning

confidence: 99%

Damage identification using combined acceleration and voltage matching with one-dimensional PZT patch model

Shankar

Jinesh²

2017

MMMS

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Purpose The purpose of this paper is to provide an effective and simple technique for structural parameter identification, particularly to identify multiple cracks in a structure using simultaneous measurement of acceleration responses and voltage signals from PZT patches which is a multidisciplinary approach. A hybrid element constituted of one-dimensional beam element and a PZT sensor is used with reduced material properties which is very convenient for beams and is a novel application for inverse problems. Design/methodology/approach Multi-objective formulation is used whereby structural parameters are identified by minimizing the deviation between the predicted and measured values from the PZT patch and acceleration responses, when subjected to excitation. In the proposed method, a patch is attached to either end of the fixed beam. Using particle swarm optimization algorithm, normalized fitness functions are defined for both voltage and acceleration components with weighted aggregation multi-objective optimization technique. The signals are polluted with 5 percent Gaussian noise to simulate experimental noise. The effects of various weighting factors for the combined objective function are studied. The scheme is also experimentally validated by identification of cracks in a fixed-fixed beam. Findings The numerical and experimental results shows that significant improvement in accuracy of damage detection is achieved by the combined multidisciplinary method, when compared with only voltage or only acceleration-matching method as well as with other methods. Originality/value The proposed multidisciplinary crack identification approach, which is based on one-dimensional PZT patch model as well as conventional acceleration method, is not reported in the literature.

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“…Moreover, a genetic algorithm avoids the typical drawback of gradient-based methods, namely their incapability to discern local optima; in fact, a genetic algorithm is a global optimizer capable of detecting the global optimum and not merely the closest local optimum (Catalano et al, 2015). The reliability of genetic algorithms has been proven in several design cases (Mohan et al, 2014;Javadi et al, 2012;Toropov and Mahfouz, 2001). The efficiency of MOGA II, which was also successfully tested in previous works (Amirante and Tamburrano, 2015;Amirante et al, 2014a), is due to the use of a smart multi-search elitism and to the new "directional cross-over" operator.…”

Section: Optimization Algorithmmentioning

confidence: 99%

Tangential inlet cyclone separators with low solid loading

Amirante

Tamburrano

2016

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Purpose The purpose of this paper is to propose an effective methodology for the industrial design of tangential inlet cyclone separators that is based on the fully three-dimensional (3D) simulation of the flow field within the cyclone coupled with an effective genetic algorithm. Design/methodology/approach The proposed fully 3D computational fluid dynamics (CFD) model makes use of the Reynold stress model for the accurate prediction of turbulence, while the particle trajectories are simulated using the one-way coupling discrete phase, which is a model particularly effective in case of low concentration of dust. To validate the CFD model, the numerical predictions are compared with experimental data available in the scientific literature. Eight design parameters were chosen, with the two objectives being the minimization of the pressure drop and the maximization of the collection efficiency. Findings The optimization procedure allows the determination of the Pareto Front, which represents the set of the best geometries and can be instrumental in taking an optimal decision in the presence of such a trade-off between the two conflicting objectives. The comparison among the individuals belonging to the Pareto Front with a more standard cyclone geometry shows that such a CFD global search is very effective. Practical implications The proposed procedure is tested for specific values of the operating conditions; however, it has general validity and can be used in place of typical procedures based on empirical models or engineers’ experience for the industrial design of tangential inlet cyclone separators with low solid loading. Originality/value Such an optimization process has never been proposed before for the design of cyclone separators; it has been developed with the aim of being both highly accurate and compatible with the industrial design time.

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A comparative study on crack identification of structures from the changes in natural frequencies using GA and PSO

Cited by 25 publications

References 29 publications

A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

Damage identification using combined acceleration and voltage matching with one-dimensional PZT patch model

Tangential inlet cyclone separators with low solid loading

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