Machine learning enabled fusion of CAE data and test data for vehicle crashworthiness performance evaluation by analysis

Author:

Zeng Jice,Li Guosong,Gao Zhenyan,Li Yang,Sundararajan Srinivasan,Barbat Saeed,Hu Zhen

Funder

Ford Motor Company

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Graphics and Computer-Aided Design,Computer Science Applications,Control and Systems Engineering,Software

Reference49 articles.

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3. Bai S, Kolter JZ, Koltun V (2018) An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. In: International conference on learning representations (ICLR) workshop, 2018, vol 1803, p 01271

4. Barbat S, Fu Y, Zhan Z, Yang R-J, Gehre C (2013) Objective rating metric for dynamic systems. In: Enhanced safety of vehicles, Seoul, Republic of Korea, vol 2, no. 3, 2013

5. Caputo F, Lamanna G, Perfetto D, Chiariello A, Di Caprio F, Di Palma L (2021) Experimental and numerical crashworthiness study of a full-scale composite fuselage section. AIAA J 59(2):700–718

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