Contact and Geometric Nonlinearities Topology Optimization Constrained With Stress

IF 2.9 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Bin Wang, Jiantao Bai, Wenjie Zuo
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引用次数: 0

Abstract

Contact problems exist extensively in engineering. Many researchers focus on the stiffness design of contact structures, which may lead to the low-strength. Therefore, this paper proposes a novel topology optimization method considering contact and geometric nonlinearities constrained with stress. The frictional surface-to-surface contact algorithm is established by using the Coulomb friction law and penalty method. A nonlinear topology optimization model is established with the volume fraction as objective function and the stress as constraint, which realizes the lightweight design of the contact structures. The sensitivity information is derived by using the adjoint method. Several numerical examples compare the effects of different p-norm stress constraints, different friction coefficients, and different filter radii. It demonstrates that the proposed method can effectively control the maximum stress and reduce the weight of the contact structures under large deformation.

应力约束下的接触与几何非线性拓扑优化
接触问题在工程中广泛存在。许多研究人员关注的是接触结构的刚度设计,这可能导致接触结构的强度偏低。为此,本文提出了一种考虑接触非线性和几何非线性的应力约束拓扑优化方法。利用库仑摩擦定律和惩罚法建立了摩擦面与表面接触算法。建立了以体积分数为目标函数,以应力为约束的非线性拓扑优化模型,实现了接触结构的轻量化设计。利用伴随法推导了灵敏度信息。几个数值算例比较了不同p范数应力约束、不同摩擦系数和不同滤波器半径的影响。结果表明,该方法能有效控制大变形下接触结构的最大应力,减轻接触结构的自重。
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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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