PSO algorithm for fundamental frequency optimization of fiber metal laminated panels

Ghashochi-Bargh, H.; Sadr, M. H.

doi:10.12989/sem.2013.47.5.713

Cited by 16 publications

(4 citation statements)

References 16 publications

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“…Latin American Journal of Solids and Structures 11 (2014) 1846-1863 The laminates are symmetric and made of AS/3501 graphite/epoxy material. The material properties of the laminas and piezoelectric patches are given as below (Vinson and Sierakowski, 1986;Ghashochi-Bargh and Sadr, 2013;Sun and Huang, 2000):…”

Section: Resultsmentioning

confidence: 99%

Vibration reduction of composite plates by piezoelectric patches using a modified artificial bee colony algorithm

Ghashochi-Bargh

Sadr

2014

Lat. Am. j. solids struct.

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Section: Resultsmentioning

confidence: 99%

Vibration reduction of composite plates by piezoelectric patches using a modified artificial bee colony algorithm

Ghashochi-Bargh

Sadr

2014

Lat. Am. j. solids struct.

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“…Ghashochi-Bargh and Sadr [36] studied the effect of ply angle and number of layers for the particle swarm optimization (PSO) algorithm for frequency optimization of FML panels. The results were shown that the maximum natural frequency and the optimum fiber orientation were not substantially influenced, which reached a limiting value with adding layer number.…”

Section: Macromechanical Approachmentioning

confidence: 99%

A review of the dynamic analysis and free vibration analysis on fiber metal laminates (FMLs)

Merzuki

Rejab

et al. 2023

Funct. Compos. Struct.

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It is a challenging target to improve the dynamic analysis and free vibration analysis of fiber metal laminates (FMLs) while providing great promise as lightweight structural components. FMLs have attracted increasing research interest in various multi-stack FML components to enlarge industrial applications. This review paper concentrates on the free vibration analysis of FMLs, which mainly refers to dynamic analysis, macro mechanical and micro mechanical approaches, and temperature effects. The available types of experimental vibration methods on FMLs are described. Moreover, dynamic analysis of FMLs is mainly reviewed in recent studies of FMLs on the macro mechanical and micromechanical scale aspects, and the temperature effect is also studied. Furthermore, several classical theoretical equations of different FMLs on free vibration analysis are summarized. In addition, optimization studies on FMLs under dynamic analysis are further discussed.

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“…Over a decade, the optimal design of the composite structure has been analysed using a variety of metaheuristic algorithms. Among them, genetic algorithm (GA) (Narita et al, 1996; Narita & Nitta, 1998; Gharib & Shakeri, 2010; Roy & Chakraborty, 2009; Kalita et al, 2020), particle swarm optimisation (PSO) (Kalita et al, 2019; Ghashochi‐Bargh & Sadr, 2013; Ettefagh et al, 2014; Kalita et al, 2020), cuckoo search optimisation (CSO) (Kalita et al, 2019; Kalita et al, 2020; Kalita et al, 2017), layerwise optimisation (LO) (Narita & Robinson, 2006; An et al, 2019), Artificial Bee Colony (ABC) (Apalak et al, 2014; Ettefagh et al, 2014; Abachizadeh & Tahani, 2009) are frequently used in structural optimisation. Using a variant of the feasible direction approach and the golden selection method, Fukunaga et al (1994) explore the optimum design of a laminated plate to maximise the fundamental frequency.…”

Section: Introductionmentioning

confidence: 99%

Comparison of nature‐inspired algorithms in finite element‐based metaheuristic optimisation of laminated shells

Pal,

Kalita,

Haldar

2024

Expert Systems

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This work presents a unique technique for optimising composite laminates used as structural components, which is critical for situations where failure might result in disastrous effects. Unlike traditional surrogate‐based optimisation approaches, this methodology combines the accurate modelling capabilities of finite element (FE) analysis with the iterative refining capacity of metaheuristic algorithms. By combining these two methodologies, our method intends to improve the design process of laminated shell structures, assuring robustness and dependability is crucial. Compared to existing benchmark solutions, the current FE shows a <1% error for cylindrical and spherical shells. The prime objective of this study is to identify the optimum ply angles for attaining a high fundamental frequency. The problem is NP‐hard because the possible ply angles span a wide range (±90°), making it difficult for optimisation algorithms to find a solution. Seven popular metaheuristic algorithms, namely the genetic algorithm (GA), the ant lion optimisation (ALO), the arithmetic optimisation algorithm (AOA), the dragonfly algorithm (DA), the grey wolf optimisation (GWO), the salp swarm optimisation (SSO), and the whale optimisation algorithm (WOA), are applied to and compared on a wide range of shell design problems. It assesses parameter sensitivity, discovering significant design elements that influence dynamic behaviour. Convergence studies demonstrate the superior performance of AOA, GWO, and WOA optimisers. Rigorous statistical comparisons assist practitioners in picking the best optimisation technique. FE‐GWO, FE‐DA, and FE‐SSA methods surpass the other techniques as well as the layerwise optimisation strategy. The findings obtained, employing the GWO, DA, and SSA optimisers, demonstrate ~3% improvement over the existing literature. With respect to conventional layup designs (cross‐ply and angle‐ply), the current optimised designs are better by at least 0.43% and as much as 48.91%.

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PSO algorithm for fundamental frequency optimization of fiber metal laminated panels

Cited by 16 publications

References 16 publications

Vibration reduction of composite plates by piezoelectric patches using a modified artificial bee colony algorithm

Vibration reduction of composite plates by piezoelectric patches using a modified artificial bee colony algorithm

A review of the dynamic analysis and free vibration analysis on fiber metal laminates (FMLs)

Comparison of nature‐inspired algorithms in finite element‐based metaheuristic optimisation of laminated shells

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