Analysis of Car Crash Simulation Data with Nonlinear Machine Learning Methods-Reference-Cited by-同舟云学术

Analysis of Car Crash Simulation Data with Nonlinear Machine Learning Methods

Published:2013 Issue: Volume:18 Page:621-630
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Bohn Bastian,Garcke Jochen,Iza-Teran Rodrigo,Paprotny Alexander,Peherstorfer Benjamin,Schepsmeier Ulf,Thole Clemens-August

Publisher

Elsevier BV

Subject

General Engineering

Reference24 articles.

1. D.-B.P. Haug E.T., Scharnhorst, FEM-Crash Berechnung eines Fahrzeugfrontalaufpralls, in:VDI., Berichte, 613, 1981.

2. S. Ackermann, L. Gaul, M. Hanss, T. Hambrecht, Principal component analysis for detection of globally important input parameters in nonlinear finite element analysis, IAM Institute of Applied and Experimental Mechanics, Stuttgart.

3. L. Mei, C.-A. Thole, Data analysis for parallel car-crash simulation results and model optimization, Sim. Modelling Practice and Theory 16 (3) (2008) 329-337. doi:10.1016/j.simpat.2007.11.018.

4. C. A. Thole, L. Nikitina, I. Nikitin, T. Clees, Advanced mode analysis for crash simulation results, in: Proc. 9th LS-DYNA Forum, 2010.

5. R. Iza-Teran, Enabling the analysis of finite element simulation-bundles, Journal of Uncertainty QuantificationAccepted.

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