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A combined parametric quadratic programming and precise integration method based dynamic analysis of elastic-plastic hardening/softening problems

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Abstract

The objective of the paper is to develop a new algorithm for numerical solution of dynamic elastic-plastic strain hardening/softening problems. The gradient dependent model is adopted in the numerical model to overcome the result mesh-sensitivity problem in the dynamic strain softening or strain localization analysis. The equations for the dynamic elastic-plastic problems are derived in terms of the parametric variational principle, which is valid for associated, non-associated and strain softening plastic constitutive models in the finite element analysis. The precise integration method, which has been widely used for discretization in time domain of the linear problems, is introduced for the solution of dynamic nonlinear equations. The new algorithm proposed is based on the combination of the parametric quadratic programming method and the precise integration method and has all the advantages in both of the algorithms. Results of numerical examples demonstrate not only the validity, but also the advantages of the algorithm proposed for the numerical solution of nonlinear dynamic problems.

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Authors and Affiliations

  1. State Key Laboratory of Structural Analysis and Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, 116024, Dalian, China

    Zhang Hongwu & Zhang Xinwei

Authors
  1. Zhang Hongwu
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  2. Zhang Xinwei
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Additional information

The project supported by the National Key Basic Research Special Foundation (G1999032805), the National Natural Science Foundation of China (19872016, 50178016, 19832010) and the Foundation for University Key Teacher by the Ministry of Education of China

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Hongwu, Z., Xinwei, Z. A combined parametric quadratic programming and precise integration method based dynamic analysis of elastic-plastic hardening/softening problems. Acta Mech Sinica 18, 638–648 (2002). https://doi.org/10.1007/BF02487966

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  • DOI: https://doi.org/10.1007/BF02487966

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