论文标题
通过摩擦自我接触的拓扑优化
Topology Optimization with Frictional Self-Contact
论文作者
论文摘要
接触感知拓扑优化面临着鲁棒性，准确性和对自我接触下内部结构表面的挑战。这项工作建立在最近提出的基于屏障的增量势触点（IPC）模型的基础上，并提出了新的自我接触感知拓扑优化框架。研究了SIMP，伴随灵敏度分析和IPC摩擦接触模型的组合。提出了用于优化接触下不同目标函数的数值示例。所得算法提出的算法求解了拓扑优化，以精确和鲁棒性在大型变形和复杂的摩擦接触场景上进行了拓扑优化。
Contact-aware topology optimization faces challenges in robustness, accuracy, and applicability to internal structural surfaces under self-contact. This work builds on the recently proposed barrier-based Incremental Potential Contact (IPC) model and presents a new self-contact-aware topology optimization framework. A combination of SIMP, adjoint sensitivity analysis, and the IPC frictional-contact model is investigated. Numerical examples for optimizing varying objective functions under contact are presented. The resulting algorithm proposed solves topology optimization for large deformation and complex frictionally contacting scenarios with accuracy and robustness.
