Damaged-aircraft trailer dynamics simulation and vibration optimization

Abstract

As a rescue vehicle, damaged-aircraft trailer is used to move damaged aircraft quickly to restore the normal order of the airport. Several damaged-aircraft trailer parameters such as tire stiffness and damping of the suspension hydraulic system influence the dynamic performance significantly. In this article, a simplified 9 degrees of freedom model of damaged-aircraft trailer is established considering the physical parameters of suspension and tires. The relationships among the parameters of the suspension hydraulic components, the elastic force and damping force are established, and then the optimization model of the whole vehicle is obtained. In order to reduce the secondary damage to the aircraft, the multi-island genetic algorithm is used to optimize the suspension system and tire. During the calculation, the maximum vertical acceleration of damaged-aircraft trailer is taken as objective function for variable parameters of the suspension hydraulic system and the tire. As a result, the performance of the vehicle is greatly improved with the maximum acceleration of 0.2 m/s² after optimization.

Keywords

Damaged-aircraft trailer dynamic simulation multi-island genetic algorithm vibration mathematical model

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References

Tang

Zhang

Zhao

, et al. Annoyance rate evaluation method on ride comfort of vehicle suspension system. Chin J Mech Eng 2014; 27: 296–303.

Kaldas

MMS

Çalışkan

Henze

, et al. Optimization of damper top mount characteristics to improve vehicle ride comfort and harshness. Shock Vib 2014; 2014: 248129.

Goncalves

JPC

Ambrósio

JAC

. Optimization of vehicle suspension systems for improved comfort of road vehicles using flexible multibody dynamics. Nonlinear Dynam 2003; 34: 113–131.

Thoresson

Uys

Els

, et al. Efficient optimisation of a vehicle suspension system, using a gradient-based approximation method. Math Comput Model 2009; 50: 1421–1436.

Kang

Heo

Kim

, et al. Robust design optimization of suspension system by using target cascading method. Int J Auto Tech-Kor 2011; 13: 109122.

Ning

Zhao

Shen

Dynamic analysis of car suspension using ADAMS/Car for development of a software interface for optimization. Procedia Engineer 2011; 16: 333–341.

Uys

Els

Thoresson

Suspension settings for optimal ride comfort of off-road vehicles travelling on roads with different roughness and speeds. J Terramechanics 2007; 44: 163–175.

Pang

Fang

, et al. Stiffness matching and ride comfort optimization of heavy vehicle’s suspension based on ADAMS. Appl Mech Mater 2011; 44–47: 1734–1738.

Gong

Guo

, et al. Ride comfort optimization of a multi-axle heavy motorized wheel dump truck based on virtual and real prototype experiment integrated Kriging model. Adv Mech Eng 2015; 7: 1–15.

10.

Michaltsos

GT.

Bouncing of a vehicle on an irregularity: a mathematical model. J Vib Control 2010; 16: 181–206.

11.

Islam

Zhu

, et al. A comparative study of multi-trailer articulated heavy-vehicle models. Proc IMechE, Part D: J Automobile Engineering 2015; 229: 1200–1228.

12.

Seifi

Hassannejad

Hamed

MA.

Optimum design for passive suspension system of a vehicle to prevent rollover and improve ride comfort under random road excitations. Proc IMechE, Park K: J Multi-Body Dynamics 2016; 230: 426–441.

13.

Chen

Zhang

Truck suspension system optimization to improve ride comfort and road friendliness. In: 2010 International conference on mechanical and electrical technology, Singapore, 10–12 September 2010. New York: IEEE.

14.

Sun

Cai

Yang

Genetic algorithm-based optimum vehicle suspension design using minimum dynamic pavement load as a design criterion. J Sound Vib 2007; 301: 18–27.

15.

Wang

Cao

LW.

Effect of suspension parameters on ride comfort and road friendliness. J Harbin Inst Technol 2004; 36: 191–194.

16.

Zhou

Wang

Liu

, et al. Effects of parameters of hydro-pneumatic suspension cylinder on vehicle ride comfort. Trans Chin Soc Agric Mach 2004; 35: 25–28.

17.

Chen

Zong

, et al. Parameter sensitivity analysis of automotive ride comfort. In: 2011 International conference on consumer electronics, communications and networks (CECNet), Xianning, China, 16–18 April 2011, pp.4256–4259. New York: IEEE.

18.

Tian

, et al. Ride comfort simulation and parameters optimization design of nonlinear hydro-pneumatic suspension system. J Cent South Univ 2011; 42: 3715–3721.

19.

Fan

Wang

Zhi

Vehicle ride comfort analysis and optimization based on artificial fish swarm algorithm. Trans Chin Soc Agric Eng 2016; 32: 107–114.

20.

Yang

Huang

Zhao

. Investigation of vehicle handling and ride comfort oriented cooperative optimization. SAE technical paper 2010-01-0722, 2010.

21.

Marcondes

Snyder

Singh

SP.

Predicting vertical acceleration in vehicles through road roughness. J Transp Eng 1992; 118: 33–49.

22.

Sun

Deng

Sun

, et al. Predicting vertical dynamic loads caused by vehicle-pavement interaction. J Transp Eng 1998; 124: 470–478.