Identification of nonlinear behavior with clustering techniques in car crash simulations for better model reduction-Reference-Cited by-同舟云学术

Identification of nonlinear behavior with clustering techniques in car crash simulations for better model reduction

Published:2016-06-13 Issue:1 Volume:3 Page:
ISSN:2213-7467
Container-title:Advanced Modeling and Simulation in Engineering Sciences
language:en
Short-container-title:Adv. Model. and Simul. in Eng. Sci.

Author:

Grunert Dennis,Fehr Jörg

Funder

Stuttgart Research Centre for Simulation Technology

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Engineering (miscellaneous),Modelling and Simulation

Link

http://link.springer.com/content/pdf/10.1186/s40323-016-0072-x.pdf

Reference31 articles.

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2. Fehr J, Holzwarth P, Eberhard P. Interface and model reduction for efficient simulations of nonlinear vehicle crash models. Accepted by Mathematical and Computer Modelling of Dynamical Systems.

3. Radermacher A, Reese S. Model reduction in elastoplasticity: proper orthogonal decomposition combined with adaptive sub-structuring. Comput Mech. 2014;54(3):677–87. doi: 10.1007/s00466-014-1020-6 .

4. LS-DYNA Product Home Page. http://www.lstc.com/products/ls-dyna/ . Accessed 2 Feb 2016.

5. Livermore Software Technology Corporation. LS-DYNA theory manual. Livermore: Livermore Software Technology Corporation; 2006.

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