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Identification and analysis of the significance of sources of uncertainty in estimating the sand size modulus

https://doi.org/10.21285/2227-2917-2026-2-369-378

EDN: RGVADQ

Abstract

The purpose of this work is to develop and test an approach to assessing the uncertainty of measuring the sand size modulus based on identifying significant sources of uncertainty to ensure the reliability of quality control results and compliance with the requirements of regulatory documents. The research is aimed at developing an effective methodology for estimating uncertainty, which is necessary to improve the accuracy and reliability of control measures. To achieve this goal, an approach was applied in accordance with GOST 34100.3-2017/ISO/IEC Guide 98-3:2008. It included identifying potential sources of uncertainty in the process of determining the sand size modulus, and classifying them into random and systematic ones. To quantify the significance of these sources, a variance analysis based on a planned experiment was used. The dispersion analysis allowed us to establish that the most significant source of uncertainty is the heterogeneity of the material, which explains 96.3% of the total dispersion of the results of determining the sand size modulus. The human factor is also statistically significant, but its contribution is significantly less. The equipment used did not have a statistically significant effect on the variance of the results. The obtained results are illustrated using statistical histograms. The study showed the significant role of sand heterogeneity as the main source of uncertainty of type A. To reduce the total uncertainty, it is necessary to manage the "Material" factor by deeply studying the characteristics of sand that cause variability and, taking this into account, the introduction of a quality control system for incoming sand shipments.

About the Authors

T. A. Lebedeva
Bratsk State University
Russian Federation

Tatiana A. Lebedeva, Cand. Sci. (Eng.), Associate Professor, Associate Professor of the Department of Building Structures and Construction Technologies

Author ID: 646031

40 Makarenko St., Bratsk 665709


Competing Interests:

The authors declare no conflict of interests regarding the publication of this article.



A. M. Daminova
Bratsk State University
Russian Federation

Anastasiya M. Daminova, Cand. Sci. (Eng.), Associate Professor of the Department of Building Structures and Construction Technologies

Author ID: 641376

40 Makarenko St., Bratsk 665709


Competing Interests:

The authors declare no conflict of interests regarding the publication of this article.



References

1. Davydov V.M., Shkrobova V.I. Methods for Determining the Causes of Process Non-Conformities to Established Requirements. In: Information Technologies of the 21st Century: Collection of Scientific Papers. Khabarovsk: Pacific State University, 2023. P. 281–288. (In Russ.). EDN: QVXRCA.

2. Montgomery D.C. Introduction to Statistical Quality Control. New York: John Wiley&Sons, 2020. 754 p.

3. Gataullin R.R., Shakirova D.M. Quality Management Tools. In: Povyshenie upravlencheskogo, ekonomicheskogo, sotsial'nogo i innovatsionno-tekhnicheskogo potentsiala predpriyatii, otraslei i narodno-khozyaistvennykh kompleksov: sbornik statei XIII Mezhdunarodnoi nauchno-prakticheskoi konferentsii = Enhancing the Managerial, Economic, Social, and Innovative-Technical Potential of Enterprises, Industries, and National Economic Complexes: A Collection of Articles from the XIII International Scientific and Practical Conference. 19–20 May 2022, Penza. Penza; 2022. P. 56–58. (In Russ.). EDN: ECWHYD.

4. Shishlakov M.A. The Law “On Ensuring the Uniformity of Measurements” and the Uncertainty of Measurement. Glavnyi metrolog. 2019;4:38-45. (In Russ.). EDN: UBVMMC.

5. Shkrobova V.I., Davydov V.M. Research of Errors in Determining the Causes of Inconformity as a Factor of Increasing Product Quality. In: Rol tekhnicheskogo regulirovaniya i standartizatsii v usloviyakh tsifrovoi ekonomiki. Materialy V Mezhdunarodnoi nauchno-prakticheskoi konferentsii molodykh uchenykh = The Role of Technical Regulation and Standardization in the Digital Economy. Proceedings of the V International Scientific and Practical Conference of Young Scientists. 02 November 2023, Yekaterinburg. Yekaterinburg; 2023. P. 360–366. (In Russ.). EDN: AGMYRA.

6. Balashova Yu.A., Izranov S.A. Measurement Uncertainty. In: Aktualnye voprosy sovremennoi nauki i obrazovaniya. Sbornik statei XX Mezhdunarodnoi nauchno-prakticheskoi konferentsii = Current Issues in Modern Science and Education. Collection of Articles from the XX International Scientific and Practical Conference. 20 June 2022, Penza. Penza; 2022. P. 48–50. (In Russ.). EDN: ULANQG.

7. Turdialieva M.M., Raxmonberdiyeva L.B. qizi Application of Measurement Uncertainty Methods in Scientific and Engineering Research. International Conference on Interdisciplinary Science. 2025;2(6):170-174.

8. Knapp W. Tolerance and Uncertainty. Transactions on Engineering Sciences. 2001;34:357-366.

9. Ponkratenko A.V., Davydov V.M. The Concept of Uncertainty of Measurement and Its Development in Russian Metrology. In: Rol tekhnicheskogo regulirovaniya i standartizatsii v usloviyakh tsifrovoi ekonomiki. Materialy V Mezhdunarodnoi nauchno-prakticheskoi konferentsii molodykh uchenykh = The Role of Technical Regulation and Standardization in the Digital Economy. Proceedings of the V International Scientific and Practical Conference of Young Scientists. 02 November 2023, Yekaterinburg. Yekaterinburg; 2023. P. 353-360. (In Russ.). EDN: WBPDPV.

10. Gracheva Yu.V. Estimation of Measurement Uncertainty During Calibration of Laboratory Metering Devices. Analytics. 2021;11(2):154-159. (In Russ.). https://doi.org/10.22184/2227-572X.2021.11.2.154.159. EDN: NMUMJD.

11. Chizhova A.A. Estimation of Measurement Uncertainty. In: Aktualnye problemy aviatsii i kosmonavtiki. Sbornik materialov VII Mezhdunarodnoi nauchno-prakticheskoi konferentsii, posvyashchennoi Dnyu kosmonavtiki: v 3 tomakh = Current Issues in Aviation and Cosmonautics. Proceedings of the VII International Scientific and Practical Conference Dedicated to Cosmonautics Day: in 3 Volumes. 12–16 April 2021, Krasnoyarsk. Krasnoyarsk; 2021. Vol. 2. P. 869–871. (In Russ.). EDN: JSQAGI.

12. Zinoviev A.A., Lebedeva T.A, Daminova A.M. Status of Construction Laboratories and Their Role in the Safety Structure of Buildings and Structures. AIP Conference Proceedings. 2022;2434(1):020025. https://doi.org/10.1063/5.0095665.

13. Voronova T.S., Piltsov M.V., Kulygin V.A. Uncertainty of Measurements in Determining their Accuracy. Scientific Papers Collection of the Angarsk State Technical University. 2023;20:12-15. (In Russ.). EDN: BGCWGS.

14. Khamkhanova D.N., Khadykov M.T., Mosorov V.I., Bakhrunov K.K. Evaluation of the Measurement Uncertainty During the Tensile Tests of High-Strength Bolts. iPolytech Journal. 2022;26(4):601-611. (In Russ.). https://doi.org/10.21285/1814-3520-2022-4-601-611. EDN: MUBWSJ.

15. Molchanov M.A., Golubinskii Yu.M. Development of a Comprehensive Indicator of Surface Homogeneity Based on Uncertainty Criteria. In: Economic Aspects of Industrial Development in the Transition to a Digital Economy. Sbornik nauchnykh statei po materialam VI Mezhdunarodnoi nauchno-prakticheskoi konferentsii = Economic Aspects of Industrial Development in the Transition to a Digital Economy. Collection of Scientific Articles Based on the Materials of the VI International Scientific and Practical Conference. 21 September 2021, Ufa. Ufa; 2021. P. 5–11. (In Russ.). EDN: DJDBSY.

16. Selivanova Z.M., Skomorokhov K.V. Identification of the Measuring Situation When Determining Thermal Properties of Solid Materials under Uncertainty. Transactions TSTU. 2021;27(4):516-527. (In Russ.). https://doi.org/10.17277/vestnik.2021.04.pp.516-527. EDN: FJARTY.

17. Khamkhanova D.N., Saundaron E.M. Sources of Uncertainty of Measurements at the Verification of a Dimensional Glass Flask. In: Advances in Science and Technology. Sbornik statei XXVI Mezhdunarodnoi nauchno-prakticheskoi konferentsii = Advances in Science and Technology. Collection of articles from the XXVI International Scientific and Practical Conference. 31 January 2020, Moscow. Moscow; 2020. P. 157-159. (In Russ.). EDN: GPHXVY.

18. Savrovskii K.K. Methodology for Assessing the Uncertainty of Calibration Results of Measuring Equipment Used to Ensure Mechanical Testing of Materials. Glavnyi metrolog. 2020;6:30-37. (In Russ.). EDN: AZRIVX.

19. Aggogeri F., Barbato G., Modesto Barini E., Genta G., Levi R. Measurement Uncertainty Assessment of Coordinate Measuring Machines by Simulation and Planned Experimentation. CIRP Journal of Manufacturing Science and Technology. 2011;4(1):51-56. https://doi.org/10.1016/j.cirpj.2011.01.007.

20. van Dijk M., Kok G. Comparison of Uncertainty Evaluation Methods for Virtual Experiments with an Application to a Virtual CMM. Measurement: Sensors. 2025;38:1-6. https://doi.org/10.1016/j.measen.2024.101785.

21. Rogacheva T.V. Calculation of Uncertainty in Tests to Determine the Flammability Group of Building Materials. Vestnik Komandno-inzhenernogo instituta MCHS Respubliki Belarus. 2010;2:70-77. (In Russ.). EDN: SMWNYZ.

22. Kutyaykin V.G., Gorbachev P.A. Estimation of Uncertainty in Determining the Strength of Materials’ Characteristics. Competency. 2021;7:16-20. (In Russ.). https://doi.org/10.24412/1993-8780-2021-7-16-20. EDN: GFUKRI.

23. Chentsova Iu.S., Tolmachev V.V., Zabelina A.A. Estimation of Uncertainty in Charpy Pendulum Impact Test Using the Reference Material. Measurement Standards. Reference Materials. 2023;19(4):143-150. (In Russ.). https://doi.org/10.20915/2077-1177-2023-19-4-143-150. EDN: YPVPJL.

24. Muhamedjanova O.G., Demidov D.G., Rekus I.G., Komarova L.Yu. Measurement Methodology for Uncertainty of Resilience to Stretching in a Curve of Concrete Prisms. Izvestiya Tulskogo gosudarstvennogo universiteta. Tekhnicheskie nauki. 2021;2:542-547. (In Russ.). https://doi.org/10.24412/2071-6168-2021-2-542-547. EDN: PWXIMD.

25. Khakimov O. Ultrasonic Method for Determining Concrete Strength and Its Uncertainty. Tendentsii i perspektivy razvitiya gorodov. 2023;1(1):351-353. (In Russ.).

26. Martinson V.L., Kochetkov A.V., Bolyachevets I.A., Malazonia G.S., Belozerov Ya.M. Calculation of the Uncertainty of Measuring the Thickness of Samples Asphalt Concrete in the Construction Control Laboratory. Khimiya. Ekologiya. Urbanistika. 2024;3:145-150. (In Russ.). EDN: OHJOTU.

27. Pivovarov V.A. Methods of Monitoring Concrete Strength Based on Surface Hardness Measurements, Problems of Metrological Support of Measurements. Measurements World. 2017;1:6-13. (In Russ.). EDN: YHOICT.

28. Alavi S.A., Noel M. Uncertainty and Prediction Intervals of New Machine Learning Approach for Non-Destructive Evaluation of Concrete Compressive Strength. Buildings. 2025;15(4):544. https://doi.org/10.3390/buildings15040544.

29. Sobina E.P. Metrology of Solid Materials and Substances Porosity and Permeability. Ekaterinburg: Publishing and Printing Center of UrFU, 2021. 428 p. (In Russ.). https://doi.org/10.20915/2687-0886-B-978-5-7996-3249-6. EDN: EFKLMC.

30. Lebedeva T.A., Mirzoev M.A. Identification of Sources of Measurement Uncertainty in Quality Control of Building Materials Based on Liquid Glass Compositions. Trudy Bratskogo gosudarstvennogo universiteta. Seriya: Estestvennye i inzhenernye nauki. 2024;1:220-222. (In Russ.). EDN: QAQNTN.


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For citations:


Lebedeva T.A., Daminova A.M. Identification and analysis of the significance of sources of uncertainty in estimating the sand size modulus. Izvestiya vuzov. Investitsii. Stroitelstvo. Nedvizhimost. 2026;16(2):369-378. (In Russ.) https://doi.org/10.21285/2227-2917-2026-2-369-378. EDN: RGVADQ

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ISSN 2227-2917 (Print)
ISSN 2500-154X (Online)