Sage Journals: Discover world-class research

Abstract

This paper presents a detailed investigation about the effect of structural damping and modal truncation number on vehicle dynamic characteristics. Finite element method and experimental method are applied to research vehicle’s dynamic response. According to the real vehicle’s structure, the dynamic simulation model of vehicle is established by the substructure modeling method. In order to research the influence of different variables on vehicle’s dynamic responses, the control variable method is adopted. In other words, the parameters of structural damping and mode truncation number are changed respectively. Comparing the dynamic response results, the influence rules of structural damping and mode truncation number on dynamic responses are obtained. Results show that the dynamic responses of vehicle changes significantly with the change of structural damping and mode truncation number. The studying results provide important significance for the determination of parameters. As well as, the correctness and reliability of the analysis results are verified by the experimental method.

Keywords

Heavy duty tractor structural damping modal truncation number dynamic characteristic finite element method experimental method control variable method

Get full access to this article

View all access options for this article.

References

Bruni

Vinolas

Berg

, et al. Modelling of suspension components in a rail vehicle dynamics context. Veh Syst Dyn 2011; 49(7): 1021–1072.

Arnold

Burgermeister

Führer

, et al. Numerical methods in vehicle system dynamics: state of the art and current developments. Veh Syst Dyn 2011; 49(7): 1159–1207.

Gao

Zhai

, et al. The finite element modelling and dynamic characteristics analysis about one kind of armoured vehicles’ fuel tanks. IOP Conf Ser Mater Sci Eng 2018; 301(1): 2092.

Lee

U-K

Han

C-S

. A method for predicting dynamic behaviour characteristics of a vehicle using the screw theory—part 1. Proc IMechE, Part D: J Automobile Engineering 2008; 222(1): 65–77.

Ainalis

Rouillard

Sek

. Estimating the ride quality characteristics of vehicles with random decrement analysis of on-the-road vibration response data. Veh Syst Dyn 2016; 54(6): 765–783.

Kim

Par

Henrik

, et al. Prediction of driveline vibrations caused by ageing the limited slip coupling. Proc IMechE, Part D: J Automobile Engineering 2016; 12(230): 1687–1698.

Yuan

. Dynamic analysis of vehicle start-up judder based on elasto-plastic friction model and dry clutch maneuvering characteristic. Proc IMechE, Part K: J Multi-Body Dynamics 2019; 233(2): 455–469.

Ashwain

Jaiswal

Ahmad

, et al. Dynamic vibration characteristics analysis of truck transmission gearbox casing with fixed constraint of vehicle frame based on FEA. Procedia Eng 2014; 97: 1107–1115.

Feng

, et al. Investigating the influence of rail grinding on stability, vibration, and ride comfort of high-speed EMUs using multi-body dynamics modelling. Veh Syst Dyn 2019; 57(11): 1621–1642.

10.

Rahman

. Automotive components fatigue and durability testing with flexible vibration testing table. SAE Int J Veh Dyn Stabil NVH 2018; 2(1): 55–70.

11.

Pobedin

Dolotov

Shekhovtsov

. Decrease of the vibration load level on the tractor operator working place by means of using of vibrations dynamic dampers in the cabin suspension. Procedia Eng 2016; 150: 1252–1257.

12.

Monteiro

Canale

. Development of a direct-dynamic model for a passenger vehicle on MATLAB Simulink. J Braz Soc Mech Sci Eng 2017; 39(2): 385–400.

13.

Kim

. Effect of vehicle model on the estimation of lateral vehicle dynamics. Int J Automot Technol 2010; 11(3): 331–337.

14.

Chu

Jones

. Analysis and simulation of nonlinear handling characteristics of automotive vehicles with focus on lateral load transfer. Veh Syst Dyn 2008; 46(Suppl. 1): 17–31.

15.

Chen

Xie

Zhang

. Measurement of vehicle-bridge-interaction force using dynamic tire pressure monitoring. Mech Syst Signal Process 2018; 104: 370–383.

16.

Chen

Sun

Zhai

. High efficient dynamic analysis of vehicle–track–subgrade vertical interaction based on Green function method. Veh Syst Dyn 2019; 58(7): 1076–1100.

17.

Yuan

Zhao

, et al. Research on dynamic characteristics and fatigue robust optimization of integrated vehicle model. Proc IMechE, Part D: J Automobile Engineering 2018; 232(14): 1982–1999.

18.

Yuan

. Research on dynamic characteristics and reliability of a new heavy duty tractor. J Adv Mech Des Syst Manuf 2019; 13(1): JAMDSM0010.

Investigating the influence of connecting constraint properties and modeling parameters on vehicle dynamic responses

Abstract

Keywords

Get full access to this article

References