Tire Rolling Noise Prediction Using Indenter Descriptors
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for predicting rolling noise of tires on roadways are inefficient due to the large number of complex descriptors required, leading to lengthy calculation times and mediocre accuracy, and fail to clearly establish the physical interaction between the tire and pavement.
Innovation Solution
A method using only two relevant descriptors, a characteristic number of indenters and a characteristic dimension, to predict rolling noise, allowing for simpler and more accurate predictions, and enabling the design of quieter pavements by separating the contributions of roughness, absorption, and reflection characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If numerous descriptors are used in the noise prediction law, then the accuracy of noise prediction is improved, but the calculation time increases significantly
Solution Approach 1:
The patent extracts only the most relevant descriptors from the numerous available descriptors. Specifically, it identifies and uses primarily the mean height of indenters and mean density of indenters, discarding redundant descriptors that do not contribute significantly to prediction accuracy. This extraction principle resolves the contradiction by maintaining accuracy with fewer descriptors, thereby reducing calculation time.
Solution Approach 2:
The patent creates a simplified model that copies only the essential characteristics of the pavement structure needed for noise prediction. Instead of using all available descriptors, it replicates the noise-generating features through a reduced set of parameters (mean height, mean density, and optionally maximum height), enabling fast calculation while preserving prediction accuracy.
2Measurement precision
If complex calculation tables and systems of numerical equations are used to obtain descriptors, then the precision of descriptor values is improved, but the calculation time increases
Solution Approach 1:
The patent replaces complex numerical calculation systems with simplified analytical formulas. Instead of solving lengthy systems of numerical equations to obtain descriptor values, it uses direct calculation formulas based on the measured inducer geometry (height, density, maximum height). This substitution maintains descriptor precision while dramatically improving calculation efficiency and productivity.
3Quantity of substance
If descriptors that do not reflect physical reality are used, then the completeness of the descriptor set is improved, but the relevance to actual noise generation is reduced
Solution Approach 1:
The patent extracts only the descriptors that have direct physical relevance to noise generation mechanisms. It identifies that mean height, mean density, and maximum height of indenters are the key parameters that actually influence tire-pavement interaction and noise production. By removing irrelevant descriptors, the patent improves the relevance and precision of the prediction model while maintaining a manageable descriptor set.
Data Source
AI summary
In a method for predicting a rolling noise B of a tire on a pavement, a real profile of the pavement is charted, at least one value of at least one descriptor of the pavement is determined based on the real profile, and use is made of a law for predicting rolling noise B of a tire. The law is of a type given by B=g(V1, . . . , Vn), where V1, . . . , Vn are values of descriptors D1, . . . , Dn of the pavement, where 1≦n≦2, where D1 is a characteristic number of indenters of the pavement, and where D2 is a characteristic dimension of the indenters of the pavement.