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Dynamic characteristics analysis for vehicle parts based on parallel optimization algorithm with CUDA

Tianyu Zhao (School of Science, Northeastern University, Shenyang, China and Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang, China)
Guobing Li (School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China)
Honggang Pan (Shenyang Institute of Engineering, Shenyang, China)
Huiqun Yuan (School of Science, Northeastern University, Shenyang, China)

Engineering Computations

ISSN: 0264-4401

Article publication date: 5 April 2021

Issue publication date: 22 September 2021

210

Abstract

Purpose

An accurate and fast dynamic analysis innovative approach for vehicle parts is provided for engineering practice.

Design/methodology/approach

This paper presents an innovative dynamic analysis approach for vehicle parts based on parallel optimization algorithm with CUDA.

Findings

This project is supported by the National Science Foundation of China (No. 51805076, No. U1708255 and No. 51775093), the Fundamental Research Funds for the Central Universities (No. N170503011) and the Natural Science Foundation of Liaoning Province, China (No. 20180551058).

Originality/value

This paper presents an innovative approach for vehicle parts using parallel optimization algorithm based on CUDA, which can improve the computing accuracy and speed effectively.

Keywords

Acknowledgements

Funding: This project is supported by the National Science Foundation of China (No. 51805076, No. U1708255 and No. 51775093), the Fundamental Research Funds for the Central Universities (No. N170503011) and the Natural Science Foundation of Liaoning Province, China (No. 20180551058).

Citation

Zhao, T., Li, G., Pan, H. and Yuan, H. (2021), "Dynamic characteristics analysis for vehicle parts based on parallel optimization algorithm with CUDA", Engineering Computations, Vol. 38 No. 9, pp. 3622-3642. https://doi.org/10.1108/EC-04-2020-0232

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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