Jin Cheng , Hengrui Fu , Zhenyu Liu , Jianrong Tan
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引用次数: 0
Abstract
A novel Isogeometric topology optimization (ITO) method considering stress constraint and load uncertainties is proposed for the fiber reinforced composite structures. Firstly, with the density and fiber orientations at the control points of Non-Uniform Rational B-Splines (NURBS) defined as design variables while the magnitudes and direction angles of uncertain external loads described as interval variables, the ITO model for the fiber reinforced composite structures is constructed to minimize the structural compliance under the constraints on both material usage and global failure coefficient. To accurately calculate the material properties and stress distribution within fiber reinforced composite structures, the Gauss subdivision and the Tsai-Hill criterion combined with the P-norm function are introduced. Further, the critical loads leading to the worst structural performance are determined based on the weighted Sigmoid penalty of the stress constraint for balancing the performance requirements of high stiffness and high strength. Finally, the ITO model is solved by integrating all the proposed innovations with the Method of Moving Asymptotes (MMA). The validity and effectiveness of the proposed ITO method are validated by both numerical and engineering examples.
针对纤维增强复合材料结构,提出了一种考虑应力约束和载荷不确定性的新型等距拓扑优化(ITO)方法。首先,将非均匀有理 B-样条曲线(NURBS)控制点上的密度和纤维方向定义为设计变量,同时将不确定外部载荷的大小和方向角描述为区间变量,构建了纤维增强复合材料结构的 ITO 模型,以在材料用量和全局失效系数的约束下最小化结构顺应性。为精确计算纤维增强复合材料结构的材料属性和应力分布,引入了高斯细分和蔡-希尔准则,并结合 P 正态函数。此外,为了平衡高刚度和高强度的性能要求,还根据应力约束的加权西格莫德惩罚确定了导致最差结构性能的临界载荷。最后,通过移动渐近线法(MMA)整合所有提出的创新方法,求解了 ITO 模型。通过数值和工程实例验证了所提 ITO 方法的有效性和有效性。
期刊介绍:
Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.