Finite element modeling of interaction between non-pneumatic mechanical elastic wheel and soil

Deng, Yaoji; Zhao, Youqun; Han, Xu; Zhu, Mingmin; Xiao, Zhongmin

doi:10.1177/0954407018821555

Cited by 25 publications

(8 citation statements)

References 32 publications

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“…When the vehicle moves forward, the soil is not only compacted by the wheels or tracks but also overcomes the resistance formed by the raised soil, which is the bulldozing resistance. According to the Bekker's terramechanics theory, the bulldozing resistance can be calculated by equation (17):…”

Section: Vehicle-terrain Dynamics Modelmentioning

confidence: 99%

“…The terramechanics characteristics have a significant impact on the traction performance of the vehicle when the vehicle is running on soft road. The current research methods of terramechanics include finite element method, 17 discrete element method, 18 discrete element-finite element coupling method, 19 other simulation methods and numerical analysis methods. 20,21 The researchers established a wheel-terrain interaction model between a single tire and sandy soil based on terramechanics and simulation theory.…”

Section: Introductionmentioning

confidence: 99%

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Vertical load distribution strategy of amphibious wheel-track vehicle using neural network and particle swarm optimization

Gao

Tang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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Amphibious wheel-track vehicle (AWTV) can change the vertical load of the wheels and the tracks through the active hydro-pneumatic suspension system, which shows significant advantages in terms of maneuverability and road passing ability. However, AWTV is a strong nonlinear system. The irregularity of the road, and coupling characteristics between the vertical load of the wheel-tracks and the terrain will greatly affect the tractive efficiency of the whole vehicle. Therefore, how to effectively distribute the vertical load between the wheel and the track to improve the tractive efficiency of the whole vehicle is still a huge challenge. To address the above problems, based on the neural network (NN) and particle swarm optimization (PSO) algorithm, vertical load distribution strategy of the AWTV is proposed to improve its traction efficiency under different driving road in this paper. Firstly, the coupling dynamics model of AWTV with road and hydraulic system dynamics model of active suspension is established; Secondly, the wheel-track terrain model is built in EDEM-Recurdyn to collect data of vertical load and traction efficiency under the different soils and speeds, and the coupling function is obtained through NN; Then, the optimal vertical load of each axle is optimized through PSO; Finally, the feasibility and effectiveness of the strategy are verified by the simulation analysis under different road conditions and distribution strategies. The simulation and test results demonstrate that the proposed vertical load distribution strategy based on NN-PSO can effectively improve the traction performance of the AWTV in complex terrain environment, and have relatively superior control characteristics.

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Section: Vehicle-terrain Dynamics Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Vertical load distribution strategy of amphibious wheel-track vehicle using neural network and particle swarm optimization

Gao

Tang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…According to the work of Long and Chen [33] and Qi et al [34], tire characteristics are crucial in terms of vehicle handling performance. e cornering stiffness of the tire can be adjusted to satisfy the requirement of the vehicle [35]. In the single-track model, the cornering stiffness coefficient is used to describe the behavior of the tire.…”

Section: Impact Of the Cornering Stiffness Coefficientmentioning

confidence: 99%

Conflict and Sensitivity Analysis of Articulated Vehicle Lateral Stability Based on Single‐Track Model

Peng

Fang²,

Kuang

et al. 2021

Shock and Vibration

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Lateral stability is quite essential for the vehicle. For the vehicle with an articulated steering system, the vehicle load and steering system performance is quite different from the passenger car with the Ackman steering system. To investigate the influence of the tire characteristics and vehicle parameters on lateral stability, a single-track dynamic model is established based on the vehicle dynamic theory. The accuracy of the built model is validated by the field test result. The investigated parameters include the tire cornering stiffness, vehicle load, wheelbase, and speed. Based on the snaking steering maneuver, the lateral stability criteria including the yaw rate, vehicle sideslip angle, tire sideslip angle, and lateral force are calculated and compared. The sensitivity analysis of the tire and vehicle parameters on the lateral stability indicators is initiated. The results demonstrated that the parameters that aﬀect the lateral vehicle stability the most are the load on the rear part and the tire cornering stiffness. The ﬁndings also lay a foundation for the optimization of the vehicle’s lateral stability.

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“…The model of tyres and roads has been established using the FEM, and the adhesion of the tyres on muddy roads has been analyzed, 13 the driving characteristics of the tyre on sand, 14 and the interaction between the wheel and the soil are analyzed. 15 Xia built a simulation model for the interaction between off-road tyres and the road surface using a finite element software, and analyzed the road surface compression deformation and tyre tractive performance. 16 Du et al used the discrete element software PFC3D to establish the model of sandy loam and tyres, and investigated the tractive performance of large-size off-road tyres on sandy loam under various conditions.…”

Section: Introductionmentioning

confidence: 99%

Tractive performance prediction for wheeled unmanned vehicles based on dynamics and discrete element method

Wang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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Tractive performance is a key factor affecting the field mobility of unmanned vehicles. Presently, studies on the tractive performance of unmanned vehicles mainly focus on the tractive performance of a single wheel, but few studies have used the discrete element method to predict the tractive performance of vehicles. In this paper, a method based on dynamics and discrete elements is proposed to predict the traction performance of a vehicle. Based on the proposed method, the tractive performance of an unmanned vehicle in various field environments is obtained. Firstly, a numerical method for calculating the dynamic tractive performance of the vehicle on a flat road surface is proposed based on vehicle dynamics theory and terramechanics. According to the corresponding soil parameters, the tractive performance of the vehicle on three different sandy loams and three different clays is calculated. The mechanism of action between the wheels and the soil on sloped road is different from that on flat road, and the numerical calculation method is no longer suitable for predicting the tractive performance of vehicles on sloped roads. To predict the tractive performance of unmanned vehicles on various slope roads, the dynamic and discrete element method was used to simulate a sandy loam flat road, sandy loam pitch slope, sandy loam roll slope, light clay flat road, light clay pitch slope, and light clay roll slope. The vehicle dynamics model was established using dynamics software, and the tractive performance of the vehicle on six different roads was obtained through the coupling simulation of dynamics and discrete elements.

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Finite element modeling of interaction between non-pneumatic mechanical elastic wheel and soil

Cited by 25 publications

References 32 publications

Vertical load distribution strategy of amphibious wheel-track vehicle using neural network and particle swarm optimization

Vertical load distribution strategy of amphibious wheel-track vehicle using neural network and particle swarm optimization

Conflict and Sensitivity Analysis of Articulated Vehicle Lateral Stability Based on Single‐Track Model

Tractive performance prediction for wheeled unmanned vehicles based on dynamics and discrete element method

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