摘要
基于颗粒金属材料细观尺度结构特点,引入颗粒形状、尺寸、位置等控制参数来描述颗粒金属材料的细观特性。结合材料细观电镜照片及统计规律,利用随机数生成方法及智能优化算法,生成了能够体现颗粒材料细观分布特性的细观力学仿真模型。以典型颗粒金属材料铝为例,对其不同密实度下的细观模型进行了冲击压缩仿真计算,并与已有实验结果进行对比验证。结果表明:基于生成的细观力学仿真模型,由冲击压缩仿真计算得到的Hugoniot参数与实验数据吻合较好,说明该文方法能够生成合理反映材料真实分布的细观模型,可为颗粒金属材料细观尺度仿真研究提供模型基础。
Based on the mesoscale structural characteristics of particle metal materials,several control parameters including the particle shape,the particle size and the particle position are introduced to describe the meso-scale characteristics.Methods of the random number generation and the intelligent optimization algorithm are adopted incorporatedly with the SEM photograph and the statistical law of the material to make the simulation model gradually approaching to the real particle distribution in meso-scale.The shock compression simulations are conducted on the typical particle metal material aluminium under different total mass degrees.Hugoniot parameters obtained from the simulation are in a good agreement with the experiment.The result shows that the randomly generated simulation model meets the statistical laws and can reproduce the distribution of real particles.The method can provide simulation model for the further numerical research on the particle metal material in meso-scale.
出处
《南京理工大学学报》
EI
CAS
CSCD
北大核心
2013年第2期219-225,共7页
Journal of Nanjing University of Science and Technology
基金
国家自然科学基金(10902053)
爆炸科学与技术国家重点实验室开放基金(KFJJ10-6M)
关键词
颗粒金属材料
冲击压缩
细观力学
有限元仿真
particle metal materials
shock compression
meso-mechanic
finite element simulation
