http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Rollover crashworthiness analysis and optimization of bus frame for conceptual design
Jiantao Bai,Guangwei Meng,Wenjie Zuo 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.7
At the conceptual design stage, utilizing the detailed model to determine the rollover crashworthiness of bus structure would need long design cycle. Currently, rectangular thin-walled beams (RTWBs) are extensively used to create the real bus because of the excellent manufacturability. Remarkably, dual rectangular thin-walled beams (DRTWBs) can generate higher bending resistance. Therefore, this paper presents a rollover crashworthiness analysis and optimization method of bus frame using the RTWBs and DRTWBs. The bus frame with tire, suspension and platform structures is created in the CarFrame software. Analysis numerical example verifies that the frame model, which reduces the modeling and computational costs, is in excellent agreements with the detailed model, and optimization numerical example verifies that the frame model can obtain high rollover crashworthiness and lightweight bus structure. Therefore, the frame model can effectively replace the detailed model for the rollover crashworthiness analysis and optimization.
Yanhua Ma,Rui Chen,Jiantao Bai,Wenjie Zuo 한국자동차공학회 2020 International journal of automotive technology Vol.21 No.2
At the conceptual design stage, the cross-sectional shapes of thin-walled beams (TWBs) need to be optimized to improve the performance of automobile structure. Therefore, this paper innovatively proposes a cross-sectional shape optimization method to acquire a low cost, high stiffness, manufacturable and lightweight TWB. Meanwhile, the stamping cost of thin-walled beams is analytically derived. The cross-sectional area is taken as the objective function to establish an optimization formulation with multiple constraints such as cross-sectional stiffness, manufacturability and cost of TWBs. The single-objective genetic algorithm based on non-dominant principle is introduced to solve the problem. The effectiveness of the proposed method is verified by an example of double cell cross-sectional shape.