Editorial Type:
Article Category: Research Article
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Online Publication Date: 23 Sept 2024

Analysis of Off-Road Tire Cornering Characteristics by Using Advanced Analytical Techniques

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Page Range: 123 – 148
DOI: 10.2346/TST-21-021
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ABSTRACT

This paper focuses on analysis of the cornering characteristics of an off-road truck tire running under several operating conditions over different soils. The finite element analysis (FEA) method is used to model the Goodyear RHD 315/80R22.5 truck tire, and the smoothed-particle hydrodynamics (SPH) method is used to model the soil. The goal of this research is to provide a virtual testing environment in Pam-Crash software as an alternative to actual tests for FEA and SPH analyses of rolling tire interactions on deformable terrains. The study on the effects of different operating parameters on the cornering performance combined with the sensitivity study can be of interest to tire engineers or vehicle engineers because they provide insight into the design and real-time behavior of a vehicle. Tire and soil models are validated using experimental data and published measurements, showing good agreement. The tire–soil interaction is investigated under different tire conditions, such as longitudinal speed, inflation pressure, vertical load, and slip angle, and under various soil characteristics, such as cohesion, internal friction angle, and rut depth. Cornering force, self-aligning moment, and overturning moment are studied as the fundamental cornering characteristics that affect truck lateral stability and control. Owing to the excessive computational demands posed by the FEA-SPH tire–soil models, we propose unique mathematical relationships for estimating the cornering characteristics of free-rolling as well as driven truck tires in an efficient manner. The genetic algorithm (GA) technique is used to develop relationships between the cornering parameters and operating conditions. We conclude that the identified mathematical relationships could provide very good estimations of the cornering characteristics under a broad range of operating conditions and soils. The GA equations will ultimately be implemented into a full vehicle model to evaluate the full vehicle performance.

FIG. 1
FIG. 1

Flowchart of the proposed GA [14].


FIG. 2
FIG. 2

FEA tire basic dimensions [27].


FIG. 3
FIG. 3

SPH soil pressure sinkage test.


FIG. 4
FIG. 4

SPH soil shear strength test.


FIG. 5
FIG. 5

Driven tire–terrain interaction model for a multipass model with a slip angle of 6°, 758.42 kPa inflation pressure, and 41.1 kN vertical load.


FIG. 6
FIG. 6

Forces and moments acting on a steered tire.


FIG. 7
FIG. 7

Cornering characteristics as functions of side-slip angle for the free-rolling tires over the sandy loam at different axles (speed, 15 km/h; inflation pressure, 758 kPa; vertical load, 40 kN).


FIG. 8
FIG. 8

Influence of vertical wheel load on the cornering characteristics of the free-rolling tire operating on 25% moist sandy soil for different inflation pressures (slip angle, 6°; speed, 15 km/h).


FIG. 9
FIG. 9

Influence of inflation pressure on cornering characteristics of the tire rolling freely on the 25% moist sandy soil for two different slip angles (vertical load, 40 kN; speed, 15 km/h).


FIG. 10
FIG. 10

Influence of forward speed on the cornering characteristics of free-rolling tires of the four-axle vehicle model operating on the dry sandy loam soil (slip angle, 6°; inflation pressure, 758 kPa; vertical load, 40 kN).


FIG. 11
FIG. 11

Influence of soil internal friction angle on the cornering chafracteristics developed by the free-rolling tire for different slip angles (inflation pressure, 758 kPa; vertical load, 40 kN; speed, 15 km/h).


FIG. 12
FIG. 12

Influence of soil sinkage on the cornering characteristics of the free-rolling tire operating on the dry sandy loam soil at 15 km/h speed, 758 kPa inflation pressure, and 40 kN vertical load.


FIG. B1
FIG. B1

Best solution Eureqa found for the cornering force.


FIG. B2
FIG. B2

Correlations of the cornering characteristics predicted from the identified mathematical relations with those predicted from the FE-SPH simulation model.


Contributor Notes

Corresponding author. Email: fatemeh.gheshlaghi@ontariotechu.ca
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