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兵工学报 ›› 2021, Vol. 42 ›› Issue (12): 2555-2564.doi: 10.3969/j.issn.1000-1093.2021.12.003

• 论文 • 上一篇    下一篇

军用车辆底部爆炸冲击下载员下肢保护装置设计与优化

孙晓旺, 张进成, 彭兵, 章金坤, 王显会   

  1. (南京理工大学 机械工程学院, 江苏 南京 210094)
  • 发布日期:2022-01-15
  • 通讯作者: 王显会(1968—),男,教授,博士生导师 E-mail:13770669850@139.com
  • 作者简介:孙晓旺(1987—),男,讲师,博士。E-mail: xwsun@njust.edu.cn
  • 基金资助:
    国家自然科学基金项目(11802140)

Design and Optimization of Occupant Lower Limb Protection Device against Explosion Shock below Military Vehicle

SUN Xiaowang, ZHANG Jincheng, PENG Bing, ZHANG Jinkun, WANG Xianhui   

  1. (School of Mechanical Engineering, Nanjing University of Science and Technology,Nanjing 210094,Jiangsu, China)
  • Published:2022-01-15

摘要: 针对车辆底部爆炸冲击下载员下肢因地板冲击发生严重损伤的问题,结合柔性地板结构和防雷脚垫结构,设计了车辆载员下肢保护装置。采用整车爆炸仿真对下肢保护装置防护性能进行分析,研究设计参数对防护性能的影响,确定较优的设计;对较优的下肢保护装置进行静刚度分析,确定其能够提供足够的日常支撑力。对下肢保护装置的设计进行多目标优化,获取该优化问题的一个最优设计方案;通过整车爆炸仿真和试验验证设计方案。结果表明,该方案能够有效降低载员下肢所受冲击,显著提高乘员下肢的防护能力。

关键词: 军用车辆, 底部爆炸, 车辆载员, 下肢保护装置, 数值模拟, 多目标优化

Abstract: For severe damage to the lower limbs of vehicle occupant caused by the explosion shock below vehicle,a vehicle occupant lower limb protection device was designed by combining the flexible floor and the explosion-proof foot pad. The protective performance of the lower limb protection device and the influence of design parameters on the protective performance are studied based on vehicle explosive simulation,and a preferable design is determined. Static stiffness analysis of the preferable design is made to determine if it can provide sufficient support in daily use. Multi-objective optimization is performed for the structure of lower limb protection device to obtain the optimal design. The vehicle explosion simulation and test were carried out to verify this design. The results show that the occupant lower limb protection device can effectively reduce the impact to the lower limbs and significantly improve the protection ability of the lower limbs.

Key words: militaryvehicle, underbobyexplosion, vehicleoccupant, lowerlimbprotectiondevice, numericalsimulation, multi-objectiveoptimization

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