based on the rigid pushing model, a fe model with auto-increment technique was proposed.
基于刚性体推动模型,采用步长自适应技术根据模型的运算需要选择适合的时间步长。
based on the specificity of static implicit algorithm, a rigid pushing body adopted in the optimized model is proposed to simplify the fe model.
基于静力隐式算法的特性,在优化模型中引入刚性推动体,实现模型的简化。
the comparison of the rigid pushing model and a conventional fe model shows that the rigid pushing model can greatly improve the efficiency of the simulation with the same(accuracy. )
刚性体推动模型与常规有限元模型的比较结果说明刚性体推动模型可以在获得相同的精度前提下,显着地提高运算效率。