Optimum design of liquefied petroleum gas (LPG) composite hybrid and non-hybrid cylinders by genetic algorithm for maximum failure pressure
Source abstract
Abstract
Abstract Optimizing the design of composite cylinders is crucial for balancing structural integrity, weight reduction, and cost-effectiveness, especially with the widespread use of fiber-reinforced materials in many engineering applications. This study presents a novel approach using Genetic Algorithms to optimize liquefied petroleum gas (LPG) composite cylinders for maximum failure pressure by MATLAB software. Inspired by natural selection, the Genetic Algorithm efficiently explores design variations, considering different materials and cylinder geometries. The main goal of this study is to find the best ply angle and stacking sequence to maximize failure pressure for hybrid and non-hybrid composite cylinders. The maximum stress and Tsai–Wu criteria are used together to predict failure. The algorithm converges towards an optimal design through iterative generations, evaluated using fitness functions based on classical laminate theory. The results demonstrate the effectiveness of this approach in achieving an optimal design under mechanical and thermal loads. The optimization process exhibits strong sensitivity to the selected failure criterion, with the Tsai-Wu and Maximum Stress theories generating fundamentally different optimal configurations. For example, design I under mechanical loads, the Tsai-Wu failure criterion based GA finds that the optimal solution for carbon epoxy is [-89/-50/56/-50/-51/-50 3 /56 3 /-50/56/-50/57/-50 2 /56 5 /57/-50 2 /56] s . In contrast, for the maximum stress failure criterion based GA, the optimal solution is [51 2 /-50/51 2 /-50 2 /51/-50/51/-50/52 2 /-50 2 /52 3 /-50 2 /52/-50/51/-50 3 ] s . The analysis under combined mechanical and thermal loading highlights significant performance constraints driven by temperature variations, uncovering distinct operational regimes. Within a limited thermal range, several viable stacking sequences are achievable; however, outside this window, only simplified—yet less optimal—designs remain feasible. For example, carbon epoxy, both GA identified that [90 26 ] s is the optimal configuration. Numerical findings provide insights for hybrid and non-hybrid composite cylinders, assessing the best design based on cylinder structural efficiency and the cylinder cost.
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Research context
OpenAlex topics: Engineering Applied Research · Mechanical Failure Analysis and Simulation · Mechanical Engineering and Vibrations Research
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References (40)
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