Improved tire-soil interaction model using FEA-SPH simulation

El-Sayegh, Zeinab; El–Gindy, Moustafa; Johansson, Inge; Öijer, Fredrik

doi:10.1016/j.jterra.2018.05.001

Cited by 30 publications

(16 citation statements)

References 11 publications

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“…Nonetheless, the contact area of the tire with the ground is recorded and compared to measured data at a rated inflation pressure of 758 kPa (110 psi). The measured contact area provided from measured data is about 450 cm 2 [11], while the calculated contact area is 498 cm 2 , with a difference less than 10%. The radial tire stiffness causes the tire radius to vary depending on the material characteristics and the tire inflation pressure.…”

Section: Fea Tire Modelmentioning

confidence: 82%

“…The Anti-Crossing force (ETA) relationship is shown in Eq. 2, where is the relative strength which is generally less than 0.5, is the density of the particles and W ij is the weighing function [11].…”

Section: Sph Terrain Modelmentioning

confidence: 99%

“…In this research, several terrains are modeled and calibrated to predict the tire-terrain interaction. The terrain modeled include soils such as dry and moist sand, clayey soil, dense sand and snow which are modeled using the isotropic-elastic-plastic-hydrodynamic relationship [10,11,14], while other terrains includes the water to model flooded surface [15][16][17]. Furthermore, the moisture effect of the soils is also taken into account by modeling moist sand and sandy loam with different moisture content [18].…”

Section: Sph Terrain Modelmentioning

confidence: 99%

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Rolling resistance prediction of off-road tire using advanced simulation and analytical techniques

El-Sayegh

El–Gindy

2020

SN Appl. Sci.

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This paper focuses on developing a relationship between the rolling resistance coefficient of an off-road truck tire running over different terrains and at various operating conditions. The various operating conditions include tire speed, vertical load, and inflation pressure. The different terrains include dry and moist sand, flooded surface, snow, dense sand, clayey soil, and sandy loam with moisture. The off-road truck tire size 315/80R22.5 is modeled and validated using the finite element analysis technique, while the terrains are modeled and calibrated using smoothed-particle hydrodynamics technique. Artificial neural network and genetic algorithm (GA) are then used to develop a relationship between the rolling resistance coefficient and the terrains and operating conditions. The results of both algorithms are compared to the simulation results in terms of R-square goodness of fit and the mean squared error. Finally, a numerical equation is presented that determines the rolling resistance coefficient as a function of the terrains parameters and the operating conditions. It was found that both techniques provide a suitable solution, however, the GA provides an explicit equation.

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Section: Fea Tire Modelmentioning

confidence: 82%

Section: Sph Terrain Modelmentioning

confidence: 99%

Section: Sph Terrain Modelmentioning

confidence: 99%

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Rolling resistance prediction of off-road tire using advanced simulation and analytical techniques

El-Sayegh

El–Gindy

2020

SN Appl. Sci.

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“…Tire-soil connection model and compared with laboratory results and FEM displaying results for yield parameters, for example, the contact zone, contact volume demonstrated close agreement. Once the moisture of soil was increased the contact pressure dropped [8] A study on the tire construction techniques can also have an effect on compaction risk which was studied by [9,10]. On the other side, research suggested using waste tire into soils.…”

Section: Introductionmentioning

confidence: 99%

Repeated Loading Triaxial Test on Bentonite-Slag-Tire Mixture

Chegenizadeh*,

Tay,

Nikraz

et al. 2020

IJRTE

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A road may be built on expansive soil. Therefore, it is important to know the behavior of soil in the presence of other additives such as slag and tire; which in these days research wants to use them in geotechnical and pavement projects. One of the potential way to investigate the issue is application of by-products. Among all by-product/waste, slag and tire were selected in this study. This study investigates the effect of tire and slag into the behavior of bentonite under repeated triaxial loading. For the purpose of this research, RLTT was employed. The RLTT device represents real pavement condition in laboratory scale. Three percentage of slag along with three percentage of tire were employed. The results proved that a sample with up to 15% tire behaves better against permanent deformation which the effect of slag was limited against permanent deformation.

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“…To this aim, they developed a three dimensional element model for track tire using Pam-Crash and represented a three-layered membrane element for the carcass and belt plies. Recently in 2018, Zeinab et al [14][15][16] modeled tires for on-road and off-road operations to determine tire characteristics such as rolling resistance, traction, and cornering on different terrains.…”

Section: Introductionmentioning

confidence: 99%

Development of an HLFS agricultural tire model using FEA technique

et al. 2019

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This paper proposes a new high lug farm service (HLFS) agricultural tire size 220/70B16 tread design used for off-road agricultural operation. The HLFS tire is modeled using finite element analysis (FEA) technique in Visual Environment's Pam-Crash software. The HLFS tire is designed using a combination of different materials including the Mooney-Rivlin material for tread. The Mooney-Rivlin material is an hyper-elastic material and it accurately resembles the mechanics and behavior of rubber used in tires. The FEA tire model is then validated against manufacturer's provided data for several tire characteristics including radial, lateral, and tangential stiffness. This research will further continue to investigate the HLFS tire performance over clayey loam for different operating conditions.

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Improved tire-soil interaction model using FEA-SPH simulation

Cited by 30 publications

References 11 publications

Rolling resistance prediction of off-road tire using advanced simulation and analytical techniques

Rolling resistance prediction of off-road tire using advanced simulation and analytical techniques

Repeated Loading Triaxial Test on Bentonite-Slag-Tire Mixture

Development of an HLFS agricultural tire model using FEA technique

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