摘要
在超高速撞击过程中,金属材料在大变形、高应变率条件下的材料参数获取是一个研究难点.在确定Steinberg本构模型和Gruneisen状态方程前提下,结合已有的物理试验结果,采用SPH(Smooth Particle Hydrodynamic)算法实现超高速撞击问题的数值模拟,定义优化目标为物理试验结果和仿真结果之间的相对误差值,利用连续响应面法SRSM(SuccessiveResponse Surface Method)对铝合金6061的Steinberg本构模型中的4个关键参数进行优化识别计算.经过识别的材料参数与物理试验的结果近似程度更好,证明了这种方法的正确性和可靠性.
In the research of hypervelocity impact, how to identify the metallic material＇ s parameters under the extreme distortions and high strain rate is a key problem. Steinberg strength model and Gruneisen equation of state were selected to describe the characteristics of A16061 under the condition of hypervelocity. The SPH algorithm was applied to simulate the hypervelocity impact. The error between the results of experiment and simulation was defined as the optimization objective and 4 parameters in Steinberg strength model were defined as optimization variables. Four parameters were identified automatically by successive response surface method（SRSM）. The optimized parameters have a better simulation results than the initial parameters when comparing with the experiments results.
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
2008年第9期999-1002,共4页
Journal of Beijing University of Aeronautics and Astronautics
关键词
超高速撞击
数值仿真
参数识别
hypervetocity impacts
numerical simulation
identification
