Abstract
Probabilistic methods for quantifying the durability of suspension elements and the supporting systems in motor vehicles are considered the most perfect now. The main issue when calculating the vehicles details resource is an adequate modeling of operational stress loading.
Distribution of road sections with different states of coverage along the entire length of public roads in the selected region was determined experimentally. Analysis of the values of standard deviation of the vertical accelerations of unsprung vehicles mass was used in the determination. The library of mathematical models of road profiles was created. The synthesis of numerical sequences of ordinate traffic profiles of the library was based on the probabilistic characteristics of the microprofile. The data about deterioration of the coatings, based on the approximation of the experimental data, were taken into account. Statistical studies of the traffic intensity in urban areas were carried out (using a web mapping service). It was made for modeling of distribution of the probable speeds of the vehicles on the roads profiles of the library. The results of the calculation of the relative time of action of each road profile from the library on the car wheels were correlated with the total working time of the vehicle.
Initial data about roads profiles representing the full range of public roads of Russia was received. The algorithm for constructing the generalized random sample of road impacts in accordance with standard operating cycles of light commercial vehicles was received.
In this paper it is assumed that the vehicle tracks can pass through any part of the total length of roads in the region. In this case it is necessary to know the distribution of velocities of the vehicles on different types of roads. Only statistical researches of the vehicles movements can inform on the probable speed of the vehicle.
The proposed approach provides fast simulation of disturbances (impacts) from the road to quantify the durability of automotive elements in conditions of limitation (or absence) of data about the distribution of vehicles run on different types of roads.
The methodology can be used to produce the probabilistic models of the operating loading of elements of vehicles running on the roads of any region.
KEYWORDS – road conditions, microprofile, vehicle, durability