Stacking sequence optimization of doubly-curved laminated composite shallow shells for maximum fundamental frequency by sequential permutation search algorithm

Jing, Zhao; Qin, Sun; Zhang, Yongjie; Liang, Ke; Li, Xu

doi:10.1016/j.compstruc.2021.106560

Cited by 20 publications

(2 citation statements)

References 104 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The SPT method can be utilized to solve optimal design problems for stacking sequences that involve linear buckling or vibration, where the objective is primarily determined by the inherent linear behavior. However, the bases of SPT method also limit its application to more complex problems, and more advanced design technique is required 41,42 to address the problems with strong nonlinear mechanical behaviors. in which U i (i = 1, 2, …, 5) are material constants defined by…”

Section: Problem IImentioning

confidence: 99%

Multiobjective optimization design of hybrid composite laminates for vibration using sequential permutation table method

Jing

Qin

Zhang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part C:

Self Cite

View full text Add to dashboard Cite

Due to the large variable design space in optimization problems of composite laminates, it remains one of the challenging tasks to develop efficient optimization design methods to improve the design flexibility and efficiency. This work presents a sequential permutation table (SPT) method for the multiobjective optimization design of two-material hybrid composite laminates with simply supported boundary conditions, which maximizes the fundamental frequency and minimizes the cost/weight. Based on the vibration analysis of hybrid composite laminates, the approximate linear regularity of the square of fundamental frequency is derived, and two best ply orientations for the two materials are identified, respectively. By assigning one best ply orientation with maximum fundamental frequency at respective stacking positions, and using another best ply orientation to replace plies in the stacking sequence from the mid-plane to the outermost can lead to the optimum. Two multiobjective optimization problems are employed to verify the SPT method, results are compared with those obtained by heuristic algorithms. The obtained better solutions demonstrate the effectiveness and efficiency of the SPT method and its potentials for optimal design of hybrid composite laminates.

show abstract

Section: Problem IImentioning

confidence: 99%

Multiobjective optimization design of hybrid composite laminates for vibration using sequential permutation table method

Jing

Qin

Zhang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part C:

Self Cite

View full text Add to dashboard Cite

show abstract

“…They presented the results for shell structures with various aspect ratios and curvature ratios. The investigation carried out by Jing et al (2021) aimed to ascertain the most effective arrangement of laminated composite shallow shells that incorporate two curved surfaces. They used Sequential Permutation Search (SPS) optimisation techniques to find the maximum 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

View full text Add to dashboard Cite

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%.

show abstract

A Comprehensive Review on High-Fidelity and Metamodel-Based Optimization of Composite Laminates

Kalita

Haldar

Chakraborty

2022

Arch Computat Methods Eng

View full text Add to dashboard Cite

Stacking sequence optimization of doubly-curved laminated composite shallow shells for maximum fundamental frequency by sequential permutation search algorithm

Cited by 20 publications

References 104 publications

Multiobjective optimization design of hybrid composite laminates for vibration using sequential permutation table method

Multiobjective optimization design of hybrid composite laminates for vibration using sequential permutation table method

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

A Comprehensive Review on High-Fidelity and Metamodel-Based Optimization of Composite Laminates

Contact Info

Product

Resources

About