FEA-based analysis of rolling resistance prediction in self-supporting run-flat tires

• Published in: International journal of computational methods in engineering science and mechanics Vol. 26; no. 5; pp. 330 - 346
• Main Authors: Hamedi, Behzad, Saraswat, Abhishek, Taheri, Saied
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 03.09.2025
• Subjects: Abaqus; co-simulation; Endurica; finite element analysis (FEA); rolling resistance; Run-flat tires; self-supporting designs
• ISSN: 1550-2287; 1550-2295
• DOI: 10.1080/15502287.2025.2524676

The growing adoption of self-supporting run-flat tires (SSRFTs), driven by safety demands, requires advanced predictive models to address their unique nonlinear mechanical and thermal behaviors, especially under deflated conditions. This study develops a fully coupled finite element co-simulation framework integrating hyperelasticity, viscoelastic hysteresis, temperature-strain rate dependency, and thermal effects using Abaqus and Endurica. Building on previous studies, this approach uniquely incorporates parametric design variations of insert geometry to evaluate their effects on rolling resistance (RR), heat generation, and structural integrity. Simulation results demonstrate that insert thickness and placement significantly influence thermal buildup and RR, with thicker inserts (15 mm) reducing peak temperatures by 19% but increasing rolling resistance by 88% compared to thinner designs. The validated framework provides valuable design guidelines for optimizing SSRFTs, balancing safety, energy efficiency, and durability.