ANALYSIS AND PREDICTION OF THE PHYSICAL AND MECHANICAL PROPERTIES OF MATERIALS FOR CONSTRUCTION WORKWEAR BASED ON A MULTIFACTOR REGRESSION APPROACH

ANALYSIS AND PREDICTION OF THE PHYSICAL AND MECHANICAL PROPERTIES OF MATERIALS FOR CONSTRUCTION WORKWEAR BASED ON A MULTIFACTOR REGRESSION APPROACH

Authors

  • Zh.B. Baizhanova K. Kulazhanov Kazakh University of Technology and Business, Astana, Kazakhstan
  • K.D. Kozhabergenova K. Kulazhanov Kazakh University of Technology and Business, Astana, Kazakhstan
  • S.M. Bazarbaeva L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
  • E.O. Omarova K. Kulazhanov Kazakh University of Technology and Business, Astana, Kazakhstan
  • G.A. Kassymova M.Kh. Dulaty Taraz University, Taraz, Kazakhstan

DOI:

https://doi.org/10.55956/QGDW9712

Keywords:

workwear, textile materials, physical and mechanical properties, wear resistance, repeated laundering, regression model

Abstract

The study presents a laboratory assessment of the physical and mechanical characteristics of fabrics of various compositions intended for construction workwear under conditions close to actual use. The effect of repeated laundering on strength properties, wear resistance, air permeability, and dust permeability of the materials was established. To describe the identified relationships, a multifactor regression mathematical model was applied, enabling the prediction of the operational reliability of workwear

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Published online

2026-03-30

Issue

No. 1(91) (2026)

Section

Light Industry Technologies

License

Copyright (c) 2026