Wind turbine blades and aircrafts have grown in size to improve energy efficiency and reduce cost. The weight of these structures has also increased due to their larger sizes. Reducing the weight of these structures can increase efficiency and lower fuel consumption, and decrease the structural load. Fabricating structures using composite materials is currently the most popular way to reduce weight. Several optimization algorithms are employed to achieve optimal composite structure design. A combination of these composite materials and a well-developed optimization algorithm can be effectively applied to improve the design of these larger composite structures. This study investigated the design of a composite spar and its feasibility by analyzing static conditions under extreme loads. Structural properties and stress analyses were calculated using the VABS program. Pre-processing and post-processing were performed by applying in-house MATLAB-based codes. The maximum stress failure theory was applied to check and confirm the composite laminate failure. A particle swarm optimization algorithm was also applied to analyze the design of the composite spar. The analysis results show that the proposed design method in this study is feasible and applicable to the design of composite spars for wind turbine blades and aircraft wings.

中文翻译：

---

织物包覆风力涡轮机叶片翼梁截面的优化设计

风力涡轮机叶片和飞机的尺寸已经增加，以提高能源效率并降低成本。由于尺寸较大，这些结构的重量也增加了。减轻这些结构的重量可以提高效率和降低燃料消耗，并减少结构载荷。使用复合材料制造结构是目前最流行的减轻重量的方法。采用多种优化算法来实现最佳复合结构设计。这些复合材料和完善的优化算法的组合可以有效地应用于改进这些更大的复合结构的设计。本研究通过分析极端载荷下的静态条件，研究了复合材料翼梁的设计及其可行性。使用 VABS 程序计算结构特性和应力分析。通过应用内部基于 MATLAB 的代码执行预处理和后处理。应用最大应力失效理论来检查和确认复合层压板失效。还应用粒子群优化算法来分析复合翼梁的设计。分析结果表明，本研究提出的设计方法是可行的，适用于风力涡轮机叶片和飞机机翼复合材料翼梁的设计。