Material Characterization and Numerical Techniques for Accurate Prediction of Snow-Tire Interactions
dc.contributor.author | Surkutwar, Yogesh Vitthalrao | en |
dc.contributor.committeechair | Untaroiu, Costin D. | en |
dc.contributor.committeechair | Sandu, Corina | en |
dc.contributor.committeemember | Untaroiu, Alexandrina | en |
dc.contributor.committeemember | Taheri, Saied | en |
dc.contributor.department | Mechanical Engineering | en |
dc.date.accessioned | 2025-06-10T08:04:26Z | en |
dc.date.available | 2025-06-10T08:04:26Z | en |
dc.date.issued | 2025-06-09 | en |
dc.description.abstract | Snow traction is a critical performance parameter for tire manufacturers, typically evaluated using standardized methods such as ASTM F1805-20. However, physical testing presents substantial limitations, including limited access to winter proving grounds, difficulties in maintaining consistent test conditions and high prototyping costs. This dissertation addresses these challenges by developing advanced numerical simulations for snow-tire interactions. In this study, a systematic approach was established to characterize compacted snow with a density of 500 kg/m³. Material parameters for the Drucker-Prager Cap (DPC) plasticity model were derived from Direct Shear Tests (DST) and Confined Compression Tests (CCT). These parameters were validated through numerical simulations, which closely matched experimental results. The effectiveness of different numerical methods including Arbitrary Lagrangian-Eulerian (ALE), Smoothed Particle Hydrodynamics (SPH), and a hybrid SPH-FEM was evaluated. Simulations of in-situ devices such as the CTI penetrometer, Clegg hammer, and vane-cone device compared method performance in terms of accuracy, stability, and computational efficiency. The hybrid SPH-FEM method demonstrated the best performance. Additionally, a finite element analysis (FEA) model of the Standard Reference Test Tire (SRTT) 225/60R16 was developed and validated against experimental data with different inflation pressure. Using validated tire and snow models, traction simulations were conducted at various slip ratios and validated against in-situ test data. Additionally, the impact of tire tread design and sipes on traction was investigated by comparing a SRTT tire model to a blank-rib tire model under identical slip conditions. This research provides tire manufacturers with a reliable virtual validation method, significantly reducing the development time and prototype testing costs while improving traction performance of winter tires. | en |
dc.description.abstractgeneral | Snow traction plays a crucial role in winter driving safety but measuring it under real-world conditions are expensive and time consuming. This dissertation presents a new simulation-based approach to studying how tires interact with snow, helping manufacturers design better tires without relying solely on costly physical tests. By focusing on the material model of compacted snow with a density of 500 kg/m³, the research derives the parameters of a material model called the Drucker-Prager Cap (DPC) from Direct Shear Tests (DST) and Confined Compression Tests (CCT). Several simulation techniques Arbitrary Lagrangian-Eulerian (ALE), Smoothed Particle Hydrodynamics (SPH), and a hybrid SPH-FEM method are compared for their accuracy and computational efficiency. The hybrid SPH-FEM approach proves especially effective in capturing the behavior of snow under various loads. A detailed finite element model of the Standard Reference Test Tire (SRTT) 225/60R16 is then developed and validated against experiments with different inflation pressures to ensure realistic tire responses. Using this validated tire and snow model, the dissertation examines how tires perform at different slip ratios, validating the simulated results with test data. The influence of tread design and sipes on traction is also explored by comparing the SRTT to a simpler blank-rib tire model. Ultimately, this research offers a practical, cost-effective strategy for improving winter tire design, significantly reducing the need for physical prototypes while enhancing confidence in tire performance under snowy conditions. | en |
dc.description.degree | Doctor of Philosophy | en |
dc.format.medium | ETD | en |
dc.identifier.other | vt_gsexam:43692 | en |
dc.identifier.uri | https://hdl.handle.net/10919/135445 | en |
dc.language.iso | en | en |
dc.publisher | Virginia Tech | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | Snow-tire interaction | en |
dc.subject | compacted snow | en |
dc.subject | SRTT tire | en |
dc.subject | finite element method | en |
dc.subject | ALE | en |
dc.subject | SPH | en |
dc.subject | hybrid SPH-FEM | en |
dc.title | Material Characterization and Numerical Techniques for Accurate Prediction of Snow-Tire Interactions | en |
dc.type | Dissertation | en |
thesis.degree.discipline | Mechanical Engineering | en |
thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
thesis.degree.level | doctoral | en |
thesis.degree.name | Doctor of Philosophy | en |
Files
Original bundle
1 - 3 of 3
- Name:
- Surkutwar_YV_D_2025_support_1.pdf
- Size:
- 100.74 KB
- Format:
- Adobe Portable Document Format
- Description:
- Supporting documents
- Name:
- Surkutwar_YV_D_2025_support_3.pdf
- Size:
- 85.75 KB
- Format:
- Adobe Portable Document Format
- Description:
- Supporting documents