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Multi-Objective Discrete Robust Optimization for Pedestrian Head Protection
Technical Paper
2020-01-0934
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Optimization design for vehicle front-end structures has proven rather essential and been extensively used to improve the vehicle performance. Nevertheless, the front-end structure needs to meet the requirement of both pedestrian safety and structural stiffness which are somewhat contradicting to each other. Furthermore, an optimal design could become less meaningful or even unacceptable when some uncertainties present. In the paper, a multi-objective discrete robust optimization (MODRO) algorithm is used to minimize the injury of head and maximize the structural stiffness involving uncertainties. MODRO algorithm is achieved by coupling grey relational analysis (GRA) and principal component analysis (PCA) with Taguchi method. The optimized result shows that the MODRO algorithm improved performance of pedestrian head injury and robustness of the vehicle front-end structure.
Authors
- Xiaojiang Lv - Geely Automobile Research Institute
- Fei Lei - Hunan University
- Heping Yang - Geely Automobile Research Institute
- Haiyang Zhang - Geely Automobile Research Institute
- Dayong Zhou - Geely Automobile Research Institute
- Pengyun Gu - Geely Automobile Research Institute
- Xiaojiang Lv - Hunan University
Topic
Citation
Lv, X., Lei, F., Yang, H., Zhang, H. et al., "Multi-Objective Discrete Robust Optimization for Pedestrian Head Protection," SAE Technical Paper 2020-01-0934, 2020, https://doi.org/10.4271/2020-01-0934.Data Sets - Support Documents
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