Optimum design of fatigue-resistant composite laminates using hybrid algorithm

Abstract

In this study, a fatigue life prediction model termed as Failure Tensor Polynomial in Fatigue (FTPF) is applied to the optimum stacking sequence design of laminated composites under various in-plane cyclic loadings to obtain maximum fatigue life. The validity of the model is investigated with an experimental correlation using the data available in the literature. The correlation study indicates the reliability of FTPF, and its applicability to different composite materials and multidirectional laminates. In the optimization, a hybrid algorithm combining genetic algorithm and generalized pattern search algorithm is used. It is found by test problems that the hybrid algorithm shows superior performance in finding global optima compared to the so far best results in the literature. After the verifications, a number of problems including different design cases are solved, and the optimum designs constituted of discrete fiber angles which give the maximum possible fatigue lives are proposed to discuss. A comparison study is also performed with selected design cases to demonstrate potential advantages of using non-conventional fiber angles in design.

Soft computing methods for fatigue life estimation: A review of the current state and future trends

“…Article/conference paper Publications using genetic algorithms Article Ma et al, 34 Zhang and Lin, 38 Vadood et al, 43 Liu et al, 46 Lotfi and Beiss, 49 Majidian and Saidi, 56 Gao et al, 76 Canyurt, 89 Karakas et al, 90 Chen et al, 91 Kamal et al, 92 Zhang et al, 93 Agius et al 94 and Deveci and Artem 95 Conference paper Susmikanti, 17 Rohman et al, 18 Cai et al, 30 Zhaohua, 35 Tian 79 and Xu and Cui 96 prediction method for different purposes, such as the creation of constant life diagrams. Mohanty et al 101 estimated the fatigue crack growth rate of aluminium alloys (2024-T3) using GP and ANN, whereas GP provided a higher precision than ANN.…”

“…Composite Al Assaf and El Kadi, 12 Bezazi et al, 13 Salmalian et al, 14 Salmalian et al, 16 Rohman et al, 18 Aymerich and Serra, 21 Junior et al, 26 Vassilopoulos et al, 28 Mathur et al, 29 Cai et al, 30 Liao et al, 31 Al-Assadi et al, 32 Kumar et al, 33 Uygur et al, 41 Xiang et al, 42 Vadood et al, 43 Al-Assaf, and El Kadi, 53 Vassilopoulos et al, 55 Xiao et al, 59 Al-Assadi et al, 61 El Kadi, 62 Tapkin, 68 Moghaddam et al, 69 Yan et al, 72 El Kadi and Al-Assaf, 74 El Kadi and Al-Assaf, 77 Lee et al, 78 Deveci and Artem, 95 Vassilopoulos et al, 100 Azarhoosh et al, 102 Ertas, 111 Ertas and Sonmez, 117 Ertas and Sonmez, 118 El Kadi et al, 125 Deveci and Artem 130 and Sai et al 131 Alloys Figueira Pujol and Andrade Pinto, 15 Susmikanti, 17 Venkatesh and Rack, 22 Pleune and Chopra, 23 Sohn and Bae, 24 Genel, 25 Marquardt and Zenner, 27 Zhaohua, 35 Xu et al,…”

“…Susmikanti, 17 Sohn and Bae, 24 Mathew et al, 57 Li et al, 80 Karakas et al, 90 Kamal et al, 92 Agius et al, 94 Deveci and Artem, 95 Li 129 and Song et al 136 Abbreviations: RBF, radial basis function; SWT, Smith-Watson-Topper be explained by a semilog linear equation, specified in Ertas 111 and shown in Equation 9 as follows:…”

“…Rohman et al, 18 Kong et al, 19 Pleune and Chopra, 23 Vassilopoulos et al, 28 Mohanty et al, 40 Mishra et al, 44 Mohanty, 45 Liu et al, 46 Lotfi and Beiss, 49 Mohanty et al, 58 Xiao et al, 59 Moghaddam et al, 69 Durodola et al, 70 Yan et al, 72 Ahmad et al, 82 Zhang et al, 93 Deveci and Artem, 95 Vassilopoulos et al, 100 Azarhoosh et al, 102 Sai et al 131…”

Multiobjective Optimization of Carbon Fiber‐Reinforced Plastic Composite Bumper Based on Adaptive Genetic Algorithm

“…e structures of composite have great exibility in design, because they can be customized in di erent ways to meet speci c design requirements. By selecting the best parameters such as ber and matrix material, ber orientation, or layer thickness, the fatigue strength of the laminated composite can be signi cantly improved, thereby improving the structural properties [37,38].…”