REVISTA DE LA UNIVERSIDAD DEL ZULIA. 3ª época. Año 14, N° 39, 2023
Elen Bilonda Tregubova et al/// Modeling of organizational and technological solutions for quality … 313-332
DOI: http://dx.doi.org/10.46925//rdluz.39.17
324
required, which indicates that it is not advisable to use this sample size for assessing the
quality of construction work.
Thus, at a core sampling rate of 7000 m
2
, 3000 m
2
and 10000 m
2
, the use of 80mm cores does
not ensure the rationality of quality control in terms of the number of samples produced or the
production rate of the ACMP, therefore it is advisable to designate the size of the optimal site
for quality control of asphalt concrete pavements, taking into account the requirements of
statistics, depending on standardized sampling requirements.
3. Discussion
The most important task of the construction and repair of road pavements is the quality
of the material and the choice of a system of requirements – the technology of preparation, laying
of mixtures and structural layers from them. On the basis of the conducted analytical studies
using the theoretical method of cognition in the form of a mathematical model, it is possible to
describe and explain the relationship between the values of the indicators of asphalt concrete.
Firstly, physical, mechanical and geometric indicators are combined into groups to identify
patterns of change in indicators, applying the method of statistical processing of data results
using mathematical techniques, quantitative calculated values, and secondly, in mathematical
modeling, such methods of mathematical statistics as the sample mean, regression and
correlation analysis, factor analysis, and graphical display of data trends are used. At the initial
stage, it is planned to enter the information into tables, which are assigned the corresponding
numbers.
The next step is to reduce the number of variables (data reduction) due to defects or
errors in production, then the minimum and maximum values are determined, as well as the
average values and the coefficient of variation for the selected group of indicators are found. To
visualize the dependencies, the data records must be summarized in graphs. Regression analysis
shows the dependence of the physical, mechanical and geometric indicators selected for the
study (sample population) from each other and determines the spread of the dependent variable.
The results are formed in graphical form - trend lines. Of the six existing types of trend
(exponential, linear, logarithmic, polynomial, power, linear filtration), the logarithmic