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| 全钢载重子午线轮胎多向刚度与静态接地压力分布关联规律的研究 |
| Study on Correlation Law Between Multidirectional Stiffnesses and Static Contact Pressure Distribution of Truck and Bus Radial Tires |
| Received:February 28, 2026 Revised:February 28, 2026 |
| DOI： |
| 中文关键词: 全钢载重子午线轮胎；多向刚度；静态接地压力；回归模型 |
| 英文关键词: truck and bus radial tire；multidirectional stiffness；static contact pressure；regression model |
| 基金项目: |
| 中图分类号: |
| Author Name | Affiliation | E-mail | | GUO Xinpeng* | Double Coin Group Shanghai Tire Research Institute Co,Ltd | guoxinpeng@shhuayi.com | | DONG Wenwu | Double Coin Group Shanghai Tire Research Institute Co,Ltd | |
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| 中文摘要: |
| 研究全钢载重子午线轮胎（简称TBR轮胎）多向刚度与静态接地压力分布的关联规律。首先通过标准轮胎的重复性试验验证了测试系统的高精度与稳定性（变异系数＜3.60%），然后选取40组TBR轮胎为样本，在标准工况下同步测量其纵向、横向和径向刚度参数与高分辨率接地压力分布数据。结果表明：径向刚度是决定TBR轮胎平均接地压力的主导因素，横向刚度对TBR轮胎接地印痕的规整度具有显著调控作用；刚度协同指标（SCI）可以量化TBR轮胎三向刚度的综合效应；构建的基于径向刚度与SCI的多元线性回归模型平均相对误差仅为5.0%，能有效预测静态接地压力水平。本工作可为轮胎结构优化设计与性能预测提供参考。 |
| 英文摘要: |
| The correlation law between the multidirectional stiffness and static contact pressure distribution of truck and bus radial tires（TBR tires for short） was studied.Firstly，the high accuracy and stability of the test system（coefficient of variationt＜3.60%） were verified by the repeatability tests of standard tires.Then 40 groups of TBR tires were selected as samples，and their longitudinal，lateral and radial stiffness parameters and high-resolution contact pressure distribution data were measured synchronously under standard operating conditions.The results showed that the radial stiffness was the dominant factor determining the average contact pressure of TBR tire，and the lateral stiffness had a significant regulatory effect on the regularity of TBR tire contact patches.The stiffness synergy index（SCI）could quantify the comprehensive effect of TBR tire three dimensional stiffnesses.The average relative error of the multiple linear regression model based on radial stiffness and SCI was only 5.0%，which could effectively predict the static contact pressure level.This work could provide reference for tire structure optimization design and performance prediction. |
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