Title: Nonlinear vibrations study of truck seat-cab suspension system

Authors: Changcheng Yin; Yunfei Zhang; Hui Yuan; Demin Luo

Addresses: Hubei Key Laboratory of Automotive Power Train and Electronic Control, School of Automotive Engineering, Hubei University of Automotive Technology, Shiyan, 442000, China ' Hubei Key Laboratory of Automotive Power Train and Electronic Control, School of Automotive Engineering, Hubei University of Automotive Technology, Shiyan, 442000, China ' Xiangyang Daan Automobile Test Center Company, Xiangyang, 441100, China ' Hubei Key Laboratory of Automotive Power Train and Electronic Control, School of Automotive Engineering, Hubei University of Automotive Technology, Shiyan, 442000, China

Abstract: A four-degree-of-freedom nonlinear seat-cab suspension system was established by testing the mechanical properties of the air springs and fitting the test data with a cubic polynomial. On this basis, the whole-vehicle road sampling test technique and the bench load replication iteration technique was utilised to obtain the excitation signals of a Belgian road and general highway. Then, the vibration responses of the two road surfaces were investigated based on random vibration theory. The human vibration comfort evaluation was carried out using Chinese standards. Subsequently, the linear parameters of the suspension system were optimised and matched according to the design requirements of the suspension system using the multi-island genetic algorithm in Isight. Finally, the smoothness of the suspension system before and after optimisation was simulated and verified. The results show that the new suspension system has better vibration isolation performance and greatly improves the comfort.

Keywords: suspension system; random excitation; weighted acceleration; multi-island genetic algorithm; optimise the matching.

DOI: 10.1504/IJHVS.2026.153687

International Journal of Heavy Vehicle Systems, 2026 Vol.33 No.2, pp.129 - 146

Received: 12 Sep 2023
Accepted: 08 Nov 2023
Published online: 21 May 2026 *

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