Aimed at the difficulties in analyzing the buffer characteristics of airbag system by using thermodynamic or experimental method only,the finite element method was used to establish nonlinear models for heavy equipmen...Aimed at the difficulties in analyzing the buffer characteristics of airbag system by using thermodynamic or experimental method only,the finite element method was used to establish nonlinear models for heavy equipment and its airbag system.The models' efficiency and correctness were validated by using on-site experiment data in vehicle airdrop landing.The simulation results agree very well with the experiment results.Then,the environment adaptability of airbag system of heavy equipment under high-altitude condition was studied by using the models.Finally,some solutions were given to solve the overturn problem in the landing.展开更多
文章以数值仿真为手段,研究了气囊缓冲登陆系统的冲击动力学多目标优化问题。首先,以类似于"猎兔犬"着陆缓冲系统为对象,确立了以囊内初始气压与收缩绳刚度为设计变量,以缓冲系统的首次冲击最大过载和囊体织物最大应力为目标...文章以数值仿真为手段,研究了气囊缓冲登陆系统的冲击动力学多目标优化问题。首先,以类似于"猎兔犬"着陆缓冲系统为对象,确立了以囊内初始气压与收缩绳刚度为设计变量,以缓冲系统的首次冲击最大过载和囊体织物最大应力为目标函数的多目标优化问题。随后基于D最优试验设计,采用移动最小二乘(Moving Least Square,MLS)构建了各个目标函数的代理模型,并对目标函数随设计变量的变化规律进行了探讨。最后,采用遗传算法完成了缓冲系统的冲击性能优化,并给出设计空间中关于最大过载与织物最大应力的Pareto前沿。研究结果表明,MLS模型优化算法十分适用于解决非线性程度较高的冲击动力学优化问题,并且在替代真实模型仿真计算时不仅具有较高的近似精度而且具有高速的分析效率。展开更多
文摘Aimed at the difficulties in analyzing the buffer characteristics of airbag system by using thermodynamic or experimental method only,the finite element method was used to establish nonlinear models for heavy equipment and its airbag system.The models' efficiency and correctness were validated by using on-site experiment data in vehicle airdrop landing.The simulation results agree very well with the experiment results.Then,the environment adaptability of airbag system of heavy equipment under high-altitude condition was studied by using the models.Finally,some solutions were given to solve the overturn problem in the landing.
文摘文章以数值仿真为手段,研究了气囊缓冲登陆系统的冲击动力学多目标优化问题。首先,以类似于"猎兔犬"着陆缓冲系统为对象,确立了以囊内初始气压与收缩绳刚度为设计变量,以缓冲系统的首次冲击最大过载和囊体织物最大应力为目标函数的多目标优化问题。随后基于D最优试验设计,采用移动最小二乘(Moving Least Square,MLS)构建了各个目标函数的代理模型,并对目标函数随设计变量的变化规律进行了探讨。最后,采用遗传算法完成了缓冲系统的冲击性能优化,并给出设计空间中关于最大过载与织物最大应力的Pareto前沿。研究结果表明,MLS模型优化算法十分适用于解决非线性程度较高的冲击动力学优化问题,并且在替代真实模型仿真计算时不仅具有较高的近似精度而且具有高速的分析效率。
