Statistical Analysis and Complex Quality Criteria for Cement

Number of journal: 3-2018
Autors:

Slavcheva G.S.

DOI: https://doi.org/10.31659/0044-4472-2018-3-60-64
УДК: 691.542

AbstractAbout AuthorsReferences
Problems of cement quality for factory production of building materials and structures, which include a high variability of indicators of their properties, low value of specific surface area, understated setting times, are characterized. According to the data on acceptance sampling, laboratories of the reinforced concrete products, factories of the city of Voronezh during the year made the statistical analysis of cement quality of different manufacturers on the basis of which the level of criterial cement properties for factory production was authentic assessed and compared. On the basis of the analysis of requirements of standard GOST P 50779.53–98 “Statistical methods. Acceptance sampling by variables for normal distribution. Part I. Known standard deviation” and GOST P ISO 12491–2011 “Building materials and components. Statistical methods for quality control” for the statistical method of cement quality control, complex quantitative criteria of cement quality assessment, which include the performance of regulatory level of non-conformities and quality reserves, are substantiated. Values of these criteria are calculated on the example of cement strength of different manufacturers and compared with the statistical analysis results. It is shown, that these criteria are objective, with statistical reliable characteristics of cement quality and can be proposed for enterprise-consumers as a criterion for selecting cement suppliers.
G.S. SLAVCHEVA, Doctor of Sciences (Engineering) (This email address is being protected from spambots. You need JavaScript enabled to view it.)

Voronezh State Technical University (84, 20-let Oktyabrya Street, 394006, Voronezh, Russian Federation)

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For citation: Slavcheva G.S. Statistical analysis and complex quality criteria for cement. Zhilishchnoe Stroitel’stvo [Housing Construction]. 2018. No. 3, pp. 60–64. (In Russian). DOI: https://doi.org/10.31659/0044-4472-2018-3-60-64


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