- Tytuł:
- The use of mathematical experiments planning in building materials quality research
- Autorzy:
-
Dvorkin, Leonid
Prokopski, Grzegorz
Marchuk, Vitaliy
Huts, Andriy - Tematy:
-
mathematical planning of experiment
polynomial models
response surface
regression equations
variation levels
planowanie eksperymentu
modele matematyczne
modele wielomianowe
równanie regresji - Pokaż więcej
- Wydawca:
- Politechnika Rzeszowska im. Ignacego Łukasiewicza. Oficyna Wydawnicza
- Powiązania:
- https://bibliotekanauki.pl/articles/947637.pdf Link otwiera się w nowym oknie
- Opis:
- The issue of ensuring the construction of materials and products, necessary quality characteristics and durability, is associated with the solution of many problems arising both in the construction industry enterprises and in the conditions of a construction site. Most of these (construction-technological) problems are solved due to the rational choice of raw materials, changes in the ratio between the main components, as well as production modes. The method of solving such problems assumes simultaneous consideration of many factors (composition, consumption of components, formation conditions, hardening, etc.) and providing many parameters (workability, strength, frost resistance, water resistance, etc.), which in practice is difficult to implement by traditional methods of experimentation because of high labor intensity of the work and the need for complex analysis. The article considers using methods of system analysis and mathematical planning of experiments in the study of building materials quality. Methods of obtaining mathematical models of various types, their interpretation and analysis, as well as the basic principles of using system analysis for solving the problems of building materials technology are presented. The technique of mathematical planning of experiments is presented. The main types of tasks solved with this method are analyzed, optimization criteria for solving problems of concrete technology are formulated. Methods for constructing linear and nonlinear models, their statistical analysis, and typical plans for carrying out experiments are presented.
- Dostawca treści:
- Biblioteka Nauki
Artykuł