基于代理模型的复合材料桨叶气动弹性分析
首发时间:2020-05-25
摘要:复合材料因具有力学性能高、重量低、可设计性强等特点,在直升机桨叶、风力机叶片中得到广泛应用。考虑到直升机旋翼流场的复杂性及大展弦比复合材料桨叶突出的几何非线性,准确的进行气动弹性分析需要采用CFD/FEA耦合计算方法。而采用CFD/FEA实现桨叶的单次双向流固耦合分析就需要大量的时间,对优化设计而言,计算量难以承受。针对CFD/FEA耦合计算气动弹性特性的精度和高效性问题,提出一种基于奇异值分解(SVD)和拉丁超立方的最小二乘支持向量机(LSSVM)气动力代理模型,代替CFD求解器用于复合材料直升机旋翼的气动弹性分析。研究结果表明,该代理模型方法是可行、高效、精确的,在保证精度的情况下可以快速进行复合材料桨叶气动弹性分析。
关键词: 复合材料 CFD/FEA耦合 奇异值分解 支持向量机 代理模型 气动弹性优化
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Aeroelastic Analysis of Composite Blades Based on Surrogate Model
Abstract:Composite materials are widely used in helicopter blades and wind turbine blades because of their high mechanical properties, low weight, and better designability. Considering the complexity of the rotor flow field and the geometric nonlinearity of the composite blades with large aspect ratio, the CFD/FEA coupling calculation method is required for accurate aeroelastic analysis. However, The CFD-FEA is used to achieve a single bidirectional fluid-solid coupling analysis of the blades to be required a lot of time, and the calculation cost is unacceptable for the further optimal design. Aiming at the accuracy and efficiency of CFD/FEA coupled calculation of aeroelastic properties, a least square support vector machine (LSSVM) aerodynamic surrogate model based on singular value decomposition (SVD) and Latin hypercube is proposed to replace the CFD solver for rotor blades aeroelastic analysis. The research results show that the surrogate model method is feasible, efficient and accurate, and the aeroelastic analysis of composite blades can be performed quickly while ensuring accuracy.
Keywords: Composite CFD / FEA coupling Singular Value Decomposition Support Vector Machine Surrogate Model Aeroelasticity optimal?
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