Review of modeling and validation techniques for tire-deformable soil interactions

Swamy, Varsha S; Pandit, Rashna; Yerro, Alba; Sandu, Corina; Rizzo, Denise; Sebeck, Katherine; Gorsich, David

doi:10.1016/j.jterra.2023.05.007

Cited by 12 publications

(5 citation statements)

References 80 publications

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“…Two popular modern methods are the Discrete Element Method (DEM) and the Smoothed-Particle Hydrodynamics (SPH) method. These were developed mathematically previously but have only been applied to tire-terrain interactions in the last two decades [37]. Both methods differ from traditional continuum-based FEA methods in that each soil particle is treated as a distinct particle that can move freely and interact with any other particle in its neighbourhood.…”

Section: Introductionmentioning

confidence: 99%

“…DEM is based on contact between large, granular particles often shaped like spheres. It is highly accurate since nanoscale frictions and tangential interactions between soil particles can be modelled, but it requires optimization at each time step and is thus highly computationally intensive, resulting in coarse particle simulations with runtimes much greater than real-time [33,37]. A strength of DEM is that it can easily account for differences in soil particle shapes, sizes, and their rotational interactions.…”

Section: Introductionmentioning

confidence: 99%

“…A strength of DEM is that it can easily account for differences in soil particle shapes, sizes, and their rotational interactions. However, the high computational cost of these detailed particles means that there are significant constraints on the size and quantity of the particles used [33,37].…”

Section: Introductionmentioning

confidence: 99%

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Modelling of Truck Tire–Rim Slip on Sandy Loam Using Advanced Computational Techniques

Collings,

El-Sayegh,

Ren

et al. 2024

Geotechnics

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Vehicles often experience low tire pressures and high torques in off-road operations, making tire–rim slip likely. Tire–rim slip is undesirable relative rotation between the tire and rim, which, in this study, is measured by the relative tire–rim slip rate. There is little research on the effect of different terrains on tire–rim slip despite its significance for off-road driving; therefore, this topic was explored through Finite Element Analysis (FEA) simulations. An upland sandy loam soil was modelled and calibrated using Smoothed-Particle Hydrodynamics (SPH), and then a Regional Haul Drive (RHD) truck tire was simulated driving over this terrain, with a drawbar load added to increase drive torque. To examine their effects, five parameters were changed: tire–rim friction coefficient, longitudinal wheel speed, drawbar load, vertical load, and inflation pressure. The simulations showed that increasing the tire–rim friction coefficient and the inflation pressure decreased the tire–rim slip while increasing the vertical and drawbar loads increased the tire–rim slip. Varying the longitudinal wheel speed had no significant effect. Tire–rim slip was more likely to occur on the soil because it happened at lower drawbar loads on the soil than on the hard surface. These research results increased knowledge of tire–rim slip mechanics and provided a foundation for exploring tire–rim slip on other terrains, such as clays or sands.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modelling of Truck Tire–Rim Slip on Sandy Loam Using Advanced Computational Techniques

Collings,

El-Sayegh,

Ren

et al. 2024

Geotechnics

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show abstract

“…This analytical approach enables accurate predictions of the dynamic and kinematic behaviour of the investigated entity under varied stress and strain conditions. The application of DEMs extends broadly within the field of highway engineering [27], including the analysis of pavement materials [28][29][30], tyre-soil contact mechanics [31][32][33] and the simulation of trucks travelling on discrete pebble aggregate surfaces [34,35]. Therefore, DEM provides an effective approach for modelling and analysing the load-bearing properties of aggregates with irregular shapes.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Influence of Varied Particle Sizes on the Load-Bearing Properties of Arrester Bed Aggregates

Liu,

Bai

2024

Materials

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This study employs the discrete element method to investigate the influence of particle size on the load-bearing characteristics of aggregates, with a specific emphasis on the aggregates used in escape ramp arrester beds. This study utilises the log edge detection algorithm to introduce an innovative approach for modelling irregularly shaped pebbles, integrating their physical properties into a comprehensive discrete element model to enhance the accuracy and applicability of simulations involving such pebbles. Meticulous validation and parameter calibration (friction coefficient: 0.37, maximum RMSE: 3.43) confirm the accuracy of the simulations and facilitate an in-depth examination of the mechanical interactions between aggregate particles at macroscopic and microscopic scales. The findings reveal a significant relationship between the particle size and load-bearing capacity of aggregates. Smaller pebbles, which are more flexible under pressure, can be packed more densely, thereby improving the distribution of vertical forces and increasing the concentration of local stress. This enhancement substantially increases the overall load-bearing capacity of aggregates. These discoveries hold significant implications for engineering practices, particularly in the optimisation of safety for truck escape ramps and in identifying the ideal sizes of pebbles with irregular shapes.

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“…Another innovative technique is the method of scanning a tire rut or footprint to obtain a 3D computer image. This technique was used in the works [14,25,[36][37][38][39]. In many studies on the impact of wheels on the ground, the analyzed parameter is the contact area of the wheel with the ground.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Changes in Dimensions of the Footprint of Agricultural Tires under Various Exploitation Conditions

Małecka,

Brennensthul,

Ptak

et al. 2024

Applied Sciences

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This paper presents an innovative method to determine the impact of agricultural wheels on soil. The experiment was conducted under controlled conditions, and the parameters of the tire footprints on the soil were analyzed. The tested parameters were the width, length, and depth of the footprint, the cross-section area of the tire, and the area of the footprint. All parameters were determined using the 3D scanning method. Two types of tires, two levels of vertical load, and three levels of inflation pressure were used. The aim of the research was to demonstrate differences in changes in the footprint parameters as a result of changes in the operational parameters of the tires. It was found the bias-ply tire was less responsive to changes in the width and length of the footprint than the radial tire. Moreover, it was shown that radial and bias-ply tires achieved similar values for the footprint area but in the case of bias-ply tires, there was a much greater footprint depth. This means that the side parts of the footprint of bias-ply tires have a more vertical profile, so they carry the vertical loads to a lesser extent.

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Review of modeling and validation techniques for tire-deformable soil interactions

Cited by 12 publications

References 80 publications

Modelling of Truck Tire–Rim Slip on Sandy Loam Using Advanced Computational Techniques

Modelling of Truck Tire–Rim Slip on Sandy Loam Using Advanced Computational Techniques

Investigating the Influence of Varied Particle Sizes on the Load-Bearing Properties of Arrester Bed Aggregates

Evaluation of the Changes in Dimensions of the Footprint of Agricultural Tires under Various Exploitation Conditions

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