Two-loop implicit integration method based on backward differential formulation for differential-algebraic equations of multibody system dynamics

被引:2
|
作者
Zhang L. [1 ]
Zhang D. [1 ]
机构
[1] School of Science, Nanjing University of Science and Technology, Nanjing
来源
Zhang, Dingguo (zhangdg419@mail.njust.edu.cn) | 1600年 / Chinese Mechanical Engineering Society卷 / 52期
关键词
BDF; DAEs; Iteration; Jacobian matrix; Multibody system dynamics;
D O I
10.3901/JME.2016.07.079
中图分类号
学科分类号
摘要
An iterative method is needed when implicit integration method is used to integrate the independent coordinates of differential-algebraic equations (DAEs) which come from multibody system dynamics. If the iterative method is Newton's method, numerical differentiation is needed to obtain the Jacobian matrix. A fixed-point iterative method without the using of the Jacobian matrix can simplify the progress. The nonlinear algebraic constraint equations in DAEs are also solved by iteration to obtain the dependent coordinates. A two-loop structure is designed to manage those two iterations. The numerical accuracy of the integration method influences the numbers of iteration of implicit integration method which is called as the outer loop. Backward differential formulation (BDF) is introduced as the integration method into the two-loop method. New strategy is proposed to constitute the new two-loop method. The numbers of iteration of outer loop in the new two-loop method are reduced, and the computational efficiency is improved. The new two-loop method can solve the DAEs of multibody system dynamics well, and its universality is good. Numerical examples are provided. © 2016 Journal of Mechanical Engineering.
引用
收藏
页码:79 / 87
页数:8
相关论文
共 27 条
  • [1] Hong J., Computational Dynamics of Multibody Systems, (1999)
  • [2] Eberhard P., Schiehlen W., Computational dynamics of multibody systems: History, formalisms, and applications, Journal of Computational and Nonlinear Dynamics, 1, 1, pp. 3-12, (2006)
  • [3] Petzold L.R., Numerical solution of differential-algebraic equations in mechanical systems simulation, Physica D: Nonlinear Phenomena, 60, 1, pp. 269-279, (1992)
  • [4] Shabana A.A., Computational Dynamics, (2009)
  • [5] Wasfy T.M., Noor A.K., Computational strategies for flexible multibody systems, Applied Mechanics Reviews, 56, 6, pp. 553-613, (2003)
  • [6] Pan Z., Zhao W., Hong J., Et al., On numercial algorithms for differential/algebraic equation of multibody systems, Advances in Mechanics, 26, 1, pp. 28-40, (1996)
  • [7] Wang Q., Lu Q., Advances in the numerical methods for Lagrange's equations of multibody systems, Advances in Mechanics, 31, 1, pp. 9-17, (2001)
  • [8] Wang Q., Zhuang F., Guo Y., Et al., Advances in the research on numerical methods for non-smooth dynamics of multibody systems, Advances in Mechanics, 43, 1, pp. 101-111, (2013)
  • [9] Yao T., Chi Y., Huang Y., New generalized-α algorithms for multibody dynamics, Journal of Mechanical Engineering, 45, 10, pp. 53-60, (2009)
  • [10] Liu Y., Ma J., Discrete null space method for the Newmark integration of multibody dynamic systems, Journal of Mechanical Engineering, 48, 5, pp. 87-91, (2012)