Investigation of the Predictive Relationship Between the Physical and Mechanical Properties of Test Tires and the Side Force Coefficient
Lu Liu, Pumza Mpundu, Jiacheng Cai, Yue Huang, Bingxi ChenIntroduction:
This paper studies the relationship between the physical and mechanical characteristics of test tires and SFC to enhance the precision of road-surface skid resistance evaluation.
Materials and Methods:
The following are the main tire performance indicators for abrasion resistance, tear strength, and elasticity after principal component analysis. A linear regression model is used to predict SFC.
Results:
The model (SFC = 81.186 - 7.258 × abrasion resistance - 0.165 × tear strength - 0.375 × elasticity) showed that all three parameters were negatively correlated with SFC (p < 0.001) and had low multicollinearity (VIF < 1.103). Validation showed an average error of 1.15, a standard deviation of 3.39, and most errors were within ±3.39.
Discussion:
The proposed model can reliably predict the SFC under the given conditions. However, due to the small sample size of the model, the degrees of freedom are too low, and it may overfit; therefore, it is only applicable to tires similar to the test samples and has poor generalisation ability.
Conclusion:
This paper offers theoretical support for the design and production of tires, as well as road safety.