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Optimization of foam-filled bitubal structures for crashworthiness criteria
Affiliation:1. College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China;2. State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha 410082, China;3. School of Electrical, Mechanical and Mechatronic Systems, University of Technology, Sydney, NSW 2007, Australia;4. School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, Sydney, NSW 2006, Australia;1. Materials Research Centre, Indian Institute of Science, Bangalore, 560012, India;2. Department of Chemical Engineering, Indian Institute of Science, Bangalore, 560012, India;1. Faculty of Science, Engineering and Technology, Swinburne University of Technology, Hawthorn, VIC 3122, Australia;2. College of Engineering, Al-Muthanna University, Samawah, Iraq;3. Faculty of Science Engineering and Built Environment, Deakin University, Geelong, VIC 3220, Australia;4. Department of Mechanical Engineering, KAIST, Daejeon 305-701, Korea;1. State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha 410082, China;2. School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, Sydney, NSW 2006, Australia;3. Joint Center for Intelligent New Energy Vehicle, Shanghai 200092, China;1. State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha 410082, China;2. School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, Sydney, NSW 2006, Australia
Abstract:Thin-walled structures have been widely used as key components in automobile and aerospace industry to improve the crashworthiness and safety of vehicles while maintaining overall light-weight. This paper aims to explore the design issue of thin-walled bitubal column structures filled with aluminum foam. As a relatively new filler material, aluminum foam can increase crashworthiness without sacrificing too much weight. To optimize crashworthiness of the foam-filled bitubal square column, the Kriging meta-modeling technique is adopted herein to formulate the objective and constraint functions. The genetic algorithm (GA) and Non-dominated Sorting Genetic Algorithm II (NSGA II) are used to seek the optimal solutions to the single and multiobjective optimization problems, respectively. To compare with other thin-walled configurations, the design optimization is also conducted for empty bitubal column and foam-filled monotubal column. The results demonstrate that the foam-filled bitubal configuration has more room to enhance the crashworthiness and can be an efficient energy absorber.
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