A new practical analytical approach has been developed in order to reach the optimal fiber orientation in design of fiber reinforced polymer pressure vessels (FRPPVs) subjected to hydrostatic pressure. The method consists of analytical solutions along with optimizing process in which different decisive factors such as buckling pressure, weight, failure mode of fiber and matrix, thickness, number and angle of layers are considered as problem constraints. In analytical part, besides the buckling analysis, Tsai-Wu and Hashin failure criteria are employed to analyze the failure mode of the structure. Then, the genetic algorithm (GA), as a robust optimization method, is applied to achieve the optimal orientation pattern with minimum weight and maximum buckling load. In addition, the impact of mapped fitness function in optimization process is exclusively analyzed. Next, to validate the reliability and effectiveness of the proposed approach, two different experimental methods including the strain gauge and volume control methods are performed and measured buckling pressure is compared with the analytical results. The results indicated that using the proposed approach, critical buckling load increases by 40% while the weight is reduced by 15%, simultaneously.

为了在承受流体静压力的纤维增强聚合物压力容器（FRPPV）的设计中达到最佳的纤维取向，已经开发了一种新的实用分析方法。该方法包括分析解决方案以及优化过程，其中将诸如折曲压力，重量，纤维和基体的破坏模式，厚度，层数和角度等不同的决定性因素视为问题约束。在分析部分，除了屈曲分析之外，还使用蔡-吴和哈辛（Hashhin）破坏准则来分析结构的破坏模式。然后，采用遗传算法作为一种鲁棒的优化方法，以最小的重量和最大的屈曲载荷实现最优的定向模式。此外，专门分析了映射适应度函数在优化过程中的影响。接下来，为验证所提方法的可靠性和有效性，进行了两种不同的实验方法，包括应变仪和体积控制方法，并将测得的屈曲压力与分析结果进行了比较。结果表明，使用所提出的方法，临界屈曲载荷同时增加了40％，而重量减少了15％。