ПІДБІР ОПТИМАЛЬНИХ ЗЕРНОВИХ СКЛАДІВ АСФАЛЬТОБЕТОННИХ СУМІШЕЙ У СЕРЕДОВИЩІ MS EXCEL

Abstract

Introduction. The composition of the grading of the mineral part of the asphalt mixture significantly affects the properties of road asphalt, namely its strength, roughness, durability, stability, reliability, quality, etc., especially when using secondary industrial waste. The designing of asphalt mixture grading (hereinafter referred to as AM) involves the calculation of its parameters that, among other things, meet the requirements of Tables 6 and 7 of DSTU B V.2.7-119:2011 [1]. Designing the aggregate composition and binder content of an AM that meets the specification requirements is a lengthy trial-and-error procedure, and success in designing an AM largely depends on the designer’s experience. This difficulty can be overcome by the development and implementation of computer software for designing the optimal AM parameters to obtain the desired properties and control them. In general, three main approaches have been proposed to computerize the computations for processing laboratory test results and optimizing the parameters of the AM: 1) Excel spreadsheets for performing a volumetric analysis of AM (Asphalt Mix Design Tools), for example, according to the methodology of Part 5 of the manual [3]; 2) optimization of the process of designing the optimal AM using artificial neural networks (hereinafter referred to as ANN) and genetic algorithm (hereinafter referred to as GA), for example, [4];