首页|基于虾螯结构的仿生夹层板设计及数值模拟

基于虾螯结构的仿生夹层板设计及数值模拟

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探索了基于虾螯轮廓外形设计的仿生夹层板(BSP)的耐撞性.按照拉伸试验获得的材料本构参数设置了Hyperworks有限元模型,制造了BSP样件,并试验验证了有限元模型有效性.比较了BSP-L0、BSP-L180、BSP-T0、BSP-T180四种配置方案的耐撞性指标,选择BSP-T0方案进一步研究.分析了圆弧高度比γ和梯形晶元窄底宽度B对BSP-T0耐撞性的影响规律,得到γ比B对BSP-T0耐撞性的影响更大.利用遗传学算法进行参数优化,Pareto前沿的一个最优解为比吸能SEA=3.080 kJ/kg、峰值载荷PF=30.700 kN、平均压溃效率CFE= 86.884%,相应参数γ=0.355,B=4.23 mm,预测与仿真结果误差均在2%以内,预测效果理想,本文研究成果可为夹层结构设计提供新思路.
Design and numerical simulation of bionic sandwich panel based on a shrimp chela structure
The crashworthiness of a biomimetic sandwich panel(BSP)was explored based on the shape of the shrimp chela.The finite element model was set up according to the material data obtained from the tensile test.A sample of BSP was fabricated,and used to verify the finite element model,which was reliable.The crashworthiness indexes of BSP-L0,BSP-L180,BSP-T0 and BSP-T180 were compared,and the BSP-T0 scheme was selected for further study.The influence of arc height ratio γ and trapezoidal cell element narrow bottom width B on the crashworthiness of BSP-T0 was analyzed,and it was obtained that γ has a greater influence than B on the crashworthiness of BSP-T0.Genetic algorithms were used for parameter optimization,an optimal solution of the Pareto frontier is SEA=3.080 kJ/kg,PF=30.700 kN,CFE=86.884%,the corresponding parameters are γ=0.355,B=4.23 mm,the errors of prediction and simulation results are all within 2%,and the prediction effect was ideal.The research results can provide new ideas for the design of sandwich structures.

engineering bionicssandwich structurecrashworthinessmulti-objective optimizationgenetic algorithm

杨欣、王阳、宋家锋、朱勇、黄彬兵、许述财

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河北农业大学 机电工程学院,河北 保定 071001

清华大学 苏州汽车研究院(相城),江苏 苏州 215134

清华大学 智能绿色车辆与交通全国重点实验室,北京 100084

运输车辆检测、诊断与维修技术交通行业重点实验室,济南 250357

清华大学 车辆与运载学院,北京 100084

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工程仿生学 夹层结构 耐撞性 多目标优化 遗传学算法

国家重点研发计划项目国家自然科学基金项目国家现代农业产业技术体系建设专项项目运输车辆检测、诊断与维修技术交通行业重点实验室开放课题项目

2018YFE020430251305223CARS-27JTZL2102

2024

吉林大学学报(工学版)
吉林大学

吉林大学学报(工学版)

CSTPCD北大核心
影响因子:0.792
ISSN:1671-5497
年,卷(期):2024.54(3)
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