Review of modeling methods of compressed snow-tire interaction

Surkutwar, Yogesh; Sandu, Corina; Untaroiu, Costin D.

doi:10.1016/j.jterra.2022.10.004

Cited by 14 publications

(6 citation statements)

References 80 publications

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“…TKPH of a tire depends on the design and variations of tires based on the type and size. And the tire manufacturer concerned issues technical specifications on the TKPH rating value of the tires it produces [23]. Where TKPH is a function of weight (load) and the number of kilometers in 1 hour of operation at a standard temperature of use [6], [24], [25].…”

Section: Resultsmentioning

confidence: 99%

Tonne Kilometre Per Hour (TKPH) Prediction for Lifetime Tire Estimate Using Statistical Analysis: A Case Study at Coal Mine

Sari¹,

Seto²

2022

Int. J. Adv. Sci. Eng. Inf. Technol.

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To expedite mining production activities, the condition of the transportation equipment of fuel and spare parts must be ready because the loss of time due to refueling and waiting for spare parts can reduce the Physical Availability value of the dump truck. In this study, the type of tire used as the research object is a tire measuring 33.00-51. The initial identification of tire conditions showed that the Hours meter average was smaller than the Key Performance Indicator (KPI) Hours meter, which was 2719 HM. The type of tire damage that dominates is Sidewall Separation, with a damage percentage of 54%. This study aims to predict the value of TKPH with ten independent variables that exist in the activity of the transportation cycle. The method used to predict is the Multiple Regression and ARIMA statistical methods. From the results of Multiple Regression using the SPSS application, three models are produced, each with different independent variables. As for ARIMA seen from the choleogram of the Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF), the number of lags = 1, so ARIMA models that can be applied may be (1,0,1) and (1,1,0). The results of the study prove that the prediction model that is close to this is the Multiple Regression Model 3 where the Mean Absolute Deviation (MAD) value is 69.16, the Mean Absolute Prediction Error (MAPE) is 66.07, and the R-square value is 52.41%.

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Section: Resultsmentioning

confidence: 99%

Tonne Kilometre Per Hour (TKPH) Prediction for Lifetime Tire Estimate Using Statistical Analysis: A Case Study at Coal Mine

Sari¹,

Seto²

2022

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…(A) is the particle-based method, (B) is the way to calculate based on the size of the sample volume, and (C) is the SPH method. (iii) The DEM contact model between two contacting particles, (left) normal contact model, (right) tangential contact model [144].…”

Section: Avalanche Behavior In Snow Failure and Simulation In Practic...mentioning

confidence: 99%

Antarctic Snow Failure Mechanics: Analysis, Simulations, and Applications

Xiao,

Li,

Matin Nazar

et al. 2024

Materials

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Snow failure is the process by which the stability of snow or snow-covered slopes is destroyed, resulting in the collapse or release of snow. Heavy snowfall, low temperatures, and volatile weather typically cause consequences in Antarctica, which can occur at different scales, from small, localized collapses to massive avalanches, and result in significant risk to human activities and infrastructures. Understanding snow damage is critical to assessing potential hazards associated with snow-covered terrain and implementing effective risk mitigation strategies. This review discusses the theoretical models and numerical simulation methods commonly used in Antarctic snow failure research. We focus on the various theoretical models proposed in the literature, including the fiber bundle model (FBM), discrete element model (DEM), cellular automata (CA) model, and continuous cavity-expansion penetration (CCEP) model. In addition, we overview some methods to acquire the three-dimensional solid models and the related advantages and disadvantages. Then, we discuss some critical numerical techniques used to simulate the snow failure process, such as the finite element method (FEM) and three-dimensional (3D) material point method (MPM), highlighting their features in capturing the complex behavior of snow failure. Eventually, different case studies and the experimental validation of these models and simulation methods in the context of Antarctic snow failure are presented, as well as the application of snow failure research to facility construction. This review provides a comprehensive analysis of snow properties, essential numerical simulation methods, and related applications to enhance our understanding of Antarctic snow failure, which offer valuable resources for designing and managing potential infrastructure in Antarctica.

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“…The shortcoming of this method is that it cannot be used to describe the large deformation problem, and breaking frequently happens during the computation [10].…”

Section: Lagrangementioning

confidence: 99%

“…Among the methods employed, the FEM has always been applied in the description of tire mechanics and dynamical response, whereas for snow-covered roads, researchers have two main options including the mesh-based method and the particle-based method. The meshbased method consists of the Lagrange and Euler method [9], whereas the particle-based method consists of the discrete element method (DEM for short) and smoothed particle hydrodynamics [10]. The following section addresses the application of these methods to snow-covered roads and the simulation of the tire driving performance on snow-covered roads using these methods.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulations of the Driving Process of a Wheeled Machine Tire on a Snow-Covered Road

Wang

Hui

et al. 2023

Machines

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Wheeled machines, such as agricultural tractors, snowplows, and wheeled mobile robots, usually work on icy or snow-covered roads. Therefore, it is very important to study the driving and slip resistance of the tires of these machines. In this paper, we investigate the driving behavior of tires on snow-covered terrain by means of numerical simulations. A high-fidelity snow-covered road model is established, and smoothed particle hydrodynamics (SPH) and the finite element method (FEM) are employed to account for the behaviors of the snow layers and the pavement, respectively. We use the node-to-surface algorithm for the contact interactions between the snow and the pavement. The SPH parameters for the snow are calibrated by means of a triaxial compression experiment. A simplified tire model is established as well, using the FEM, and the effectiveness of the model is demonstrated via comparisons with the experimental data in terms of stiffness. Finally, the tire driving performance on the snow-covered road is simulated, and the influence of the tire surface configuration, external load, inflation pressure, and snowpack compression on the tire traction behaviors is systematically investigated.

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Review of modeling methods of compressed snow-tire interaction

Cited by 14 publications

References 80 publications

Tonne Kilometre Per Hour (TKPH) Prediction for Lifetime Tire Estimate Using Statistical Analysis: A Case Study at Coal Mine

Tonne Kilometre Per Hour (TKPH) Prediction for Lifetime Tire Estimate Using Statistical Analysis: A Case Study at Coal Mine

Antarctic Snow Failure Mechanics: Analysis, Simulations, and Applications

Numerical Simulations of the Driving Process of a Wheeled Machine Tire on a Snow-Covered Road

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