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

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. [ABSTRACT FROM AUTHOR]