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Reanalysis-based fast solution algorithm for flexible multi-body system dynamic analysis with floating frame of reference formulation

  • Guanxin Huang
  • Weidong Zhu
  • Zhijun YangEmail author
  • Cheng Feng
  • Xin Chen
Article
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Abstract

In order to improve the computational efficiency of flexible multi-body system dynamic analysis with floating frame of reference formulation (FFRF), a reanalysis-based fast solution algorithm is developed here. The data of FFRF analysis process can be divided into two parts: unchanged mass and stiffness matrices part kept by deformation, and changed mass and stiffness matrices part caused by rigid motion and joint constraints. In the proposed method, the factorization of the unchanged part is reused in the entire solution process via employing the reanalysis concept; and the changed part is treated as structural modification. Meanwhile, the joint constraints are handled with an exact reanalysis method—the Sherman–Morrison–Woodbury (SMW) formula, which is also beneficial for saving the computational cost. Numerical examples demonstrate that the computational efficiency of the proposed method is higher than that of full analysis, especially in large scale problems. Moreover, since the proposed fast FFRF solution algorithm is-based on exact reanalysis methods, there is no theoretical error between the results obtained by the fast solution algorithm and full analysis method.

Keywords

Flexible multi-body system dynamics Floating frame of reference formulation Reanalysis Joint constraints 
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Notes

Acknowledgements

This work was supported by the National Natural Science Foundation of China [Grant Nos. 11702065, 91648108, 51875108, 51675106 and 11772100], Guangdong Natural Science Foundation [Grant Nos. 2015A030312008 and 2016A030308016], Guangdong Science and Technology Plan [Grant Nos. 2015B010104006, 2015B010133005, 2015B010104008 and 2015B090921007], National key Research and Develop Program of China [Grant No. 2017YFF0105902], and China Postdoctoral Science Foundation [Grant No. 2017M622623].

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© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.The Key Laboratory of Mechanical Equipment Manufacturing & Control TechnologyGuangdong University of TechnologyGuangzhouChina
  2. 2.Department of Mechanical EngineeringUniversity of MarylandBaltimoreUSA

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