REGRESSION ANALYSIS ALGORITHM FOR THE RESULTS OF REINFORCED CONCRETE SLABS TECHNICAL INSPECTION
Mikhailov V. Akhmediev S. Tazhenova G. Karacasu M. Tokanov D. Bakirov M.
2025Institute for research and design in industry
Journal of Applied Engineering Science
2025#23Issue 4664 - 674 pp.
The paper presents an algorithm for calculating key statistical parameters, including correlation dependences, correlation coefficients, and a method of checking the presence of a linear dependence. A quadratic regression equation is obtained, regression curve graphs are constructed, distribution functions and probability densities with the procedure for their normalization are calculated. The main statistical parameters of random variables are also calculated: mathematical expectation, variance, standard deviation, and quantiles of various levels. The proposed regression analysis algorithm can be used to assess safety and reliability of building structures, which allows analyzing their operation in a probabilistic form. Based on the theoretical and applied results of the work, prospects are opened for further development of probabilistic analysis methods for safety of construction projects as a whole, taking into account their complex structure and interaction of various structural elements.
correlation coefficient , regression analysis , reinforced concrete slabs , structural safety
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Abylkas Saginov Karaganda Technical University, Mechanics Department, Karaganda, Kazakhstan
Eskisehir Technical University, Department of Architecture and Civil engineering, Eskisehir, Turkey
Abylkas Saginov Karaganda Technical University, Department of Construction Materials and Technologies, Karaganda, Kazakhstan
Abylkas Saginov Karaganda Technical University
Eskisehir Technical University
Abylkas Saginov Karaganda Technical University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026