GOALI: Hybrid Cellular Automata for Topology and Topography Synthesis in Automotive Structural Design

该奖项的研究目标是开发一种抗碰撞混合元胞自动机（crasHCA）方法，用于非线性动态瞬态拓扑和地形优化。采用耐撞性设计方法合成车辆结构，以保护乘员免受伤害。目前，用于结构设计的HCA方法仅限于用于结构综合的线性静力分析。此外，竞争的拓扑优化方法需要灵敏度计算，因此仅限于线性静态分析。由于灵敏度的解析表达式或非线性瞬态问题灵敏度计算的数值方法不可用，目前的实践仅限于使用替代模型进行设计优化。研究结果将为耐撞设计提供一种收敛的非线性暂态拓扑和地形优化方法。迄今为止，HCA框架受到仅使用砖元素进行拓扑优化的能力的限制。在这项调查中，HCA方法将包括在一个框架内使用壳体元件，该框架被称为冲压钣金部件设计的地形优化。如果成功，这一提议将促进新的设计，从而提高对汽车驾驶员和乘客的保护水平。在汽车工业中，使用拓扑优化进行结构部件设计越来越受欢迎。开发一种拓扑优化能力，促进非线性瞬态拓扑和地形优化（crasHCA），将使车辆设计人员能够在缩短产品开发周期的同时显著提高车辆安全性。CrasHCA拓扑优化将允许设计人员超越替代模型，并促进非线性瞬态动态载荷下的结构综合。在这次GOALI调查中，PI和学生将与本田研发美洲公司进行互动，以确保技术向工业转移。用于非线性暂态拓扑优化的crasHCA方法将通过本田提供的实际应用测试问题进行验证。合成设计在本田的制造和机械测试？美国的研究设施将进一步有助于核查和确认。

0800290RenaudAbstractThe research objective of this award is the development of a crashworthy hybrid cellular automata (crasHCA) method for nonlinear-dynamic transient topology and topography optimization. Crashworthiness design methods are used to synthesize vehicle structures to protect occupants against injury. Currently, the HCA approach for structural design is limited to linear static analysis for structural synthesis. In addition, competing topology optimization approaches require sensitivity calculations and are therefore limited to linear static analysis. Because analytic expressions for sensitivities or numerical approaches for sensitivity calculation in nonlinear transient problems are not available, current practice is limited to the use of surrogate models for design optimization. The results of this research will provide users with a convergent nonlinear transient topology and topography optimization approach for crashworthiness design. The HCA framework to date has been limited by the ability to use only brick elements for topology optimization. In this investigation the HCA methodology will include the use of shell elements within a framework referred to as topography optimization for the design of stamped sheet metal components.If successful this proposal will facilitate novel, new designs that will lead to increased levels of protection for both drivers and passengers in automotive vehicles. In the automotive industry the use of topology optimization for structural component design is increasingly popular. The development of a topology optimization capability that facilitates nonlinear transient topology and topography optimization (crasHCA) will allow vehicle designers to significantly improve vehicle safety in reduced product development cycle times. CrasHCA topology optimization will allow designers to move beyond surrogate models and to facilitate structural synthesis under nonlinear transient dynamic loading. In this GOALI investigation the PI and students will interact with Honda R&D Americas to insure technology transfer to industry. The crasHCA methodology for nonlinear transient topology optimization will be validated using real application test problems provided by Honda. Fabrication and mechanical testing of the synthesized designs at Honda?s research facility will further contribute to verification and validation.