An Efficient Exponential Integrator for Large Nonlinear Stiff Systems Part 1: Theoretical Investigation
Paper in proceedings, 2014

In the first part of this study an exponential integration scheme for computing solutions of large stiff systems is introduced. It is claimed that the integrator is particularly effective in large-scale problems with localized nonlinearity when compared with the general purpose methods. A brief literature review of different integration schemes is presented and theoretical aspect of the proposed method is discussed in detail. Computational efficiency concerns that arise in simulation of large-scale systems are treated by using an approximation of the Jacobian matrix. This is achieved by combining the proposed integration scheme with the developed methods for model reduction, in order to treat the large nonlinear problems. In the second part, geometric and structural properties of the presented integrator are examined and the preservation of these properties such as area in the phase plane and also energy consistency are investigated. The error analysis is given through small scale examples and the efficiency and accuracy of the proposed exponential integrator is investigated through a large-scale size problem that originates from a moving load problem in railway mechanics. The superiority of the proposed method in sense of computational efficiency, for large-scale problems particularly system with localized nonlinearity, has been demonstrated, comparing the results with classical Runge–Kutta approach.

Semi-linear problems

Quadrature rule

Stiff ODE

Exponential integrators

Runge–Kutta method

Author

Sadegh Rahrovani

Dynamics

Thomas Abrahamsson

Dynamics

Klas Modin

University of Gothenburg

Chalmers, Mathematical Sciences, Mathematics

Proceedings of the 32nd IMAC, A Conference and Exposition on Structural Dynamics, 2014. Nonlinear Dynamics, Volume 2

2191-5652 (eISSN)

Vol. 2 259-268

Subject Categories

Mechanical Engineering

Computational Mathematics

Roots

Basic sciences

DOI

10.1007/978-3-319-04522-1_25

ISBN

978-3-319-04521-4

More information

Created

10/7/2017