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Optimal design parameters of air suspension systems for semi-trailer truck. Part 1: modeling and algorithm

Nguyen Van Tuan, Le Van Quynh, Vi Thi Phuong Thao, Le Quang Duy

2020Vibroengineering PROCEDIA16 citationsDOIOpen Access PDF

Abstract

The purpose of this paper is to improve the performance of air suspension systems for a semi-trailer truck in the direction of reducing the dynamic wheel load acting on road surface (Part 1: modeling and algorithm). To achieve the goal of finding the optimal design parameters for the air suspension systems, a half-vehicle dynamic model under the road-vehicle interaction with 12 degrees of freedom (d.o.f) is established for searching the optimal design parameters of vehicle suspensions using genetic algorithm (GA). Dynamic load coefficient (DLC) is considered as a target function. Two optimal conditions: optimal design of geometrical parameters of air spring suspension systems (Case 1) and optimal design of parameters of air suspension systems (Case 2) are selected in this study. The results of this paper are the basis for optimization and discussion in Part 2 as the results and discussion.

Topics & Concepts

Air suspensionSuspension (topology)Optimal designTruckTrailerGenetic algorithmControl theory (sociology)Degrees of freedom (physics and chemistry)Automotive engineeringComputer scienceEngineeringMathematicsStructural engineeringArtificial intelligenceControl (management)AxleQuantum mechanicsHomotopyPhysicsPure mathematicsMachine learningVibration Control and Rheological FluidsMechanical Engineering and Vibrations ResearchSoil Mechanics and Vehicle Dynamics
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