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Stochastic identity of test result series of the compressive strength of concrete in industrial production conditions

Wybrane pełne teksty z tego czasopisma
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Języki publikacji
EN
Abstrakty
EN
The article provides the scientific basis of interval identity of the compressive strength of concrete, as well as includes calculation examples concerning the application of concrete apron paving with the use of concrete pavers. It was found that in order to control the compressive strength of concrete formed in a continuous, cyclically repetitive mode, standard statistical assessment of concrete strength is not sufficient since, in the case of deviations in the studied characteristics of concrete from the project assumptions, it is not possible either to implement corrections in the concrete manufacturing process or to change the location of the concrete structure with decreased strength parameters. Due to this, the analysis of the qualitative and quantitative production of concrete mix and its application at the construction site required the use of appropriate calculation procedures, allowing to extract subsets of the results of the compressive strength of concrete projecting technological disturbances and assign to them time intervals, in which the disturbances occurred. This is a completely different approach to the issue of determining the compressive strength properties of tested concrete volume than presented in the construction standards. For this reason, to present the real picture of the compressive strength variability, the division of tests results was made by grouping the data belonging to one population with probabilistically stabilized strength parameters forming a family of concrete. In order to do this it was necessary to use appropriate calculation procedures based on verification of statistical hypotheses. The authors proposed three independent methods based on statistical tests: Pearson χ2 test, t-Student's test and Mann–Whitney's U test. The results series were divided into families of concretes and were given different sensitivity of each method. However, the breakdown of the whole series achieved by the three methods is comparable and occurred in the areas of high variability of strength.
Rocznik
Strony
584--592
Opis fizyczny
Bibliogr. 29 poz., rys., tab., wykr.
Twórcy
autor
  • Poznan University of Technology, Piotrowo 5, 61-138 Poznan, Poland
  • Poznan University of Technology, Piotrowo 5, 61-138 Poznan, Poland
autor
  • Adam Mickiewicz University, ul. H. Wieniawskiego 1, 61-712 Poznan, Poland
Bibliografia
  • [1] PN-EN 206-1:2003, Concrete, Part 1: requirements, properties, production and conformity.
  • [2] PN-EN 1990:2004, Eurocode basis of structural design.
  • [3] PN-EN 1998-1:2005, Eurocode 8 design of structures for earthquake resistance.
  • [4] L. Brunarski, Determination of Uncertainty of Strength Test Results, ITB, Warszawa, 2008 (in Polish).
  • [5] Irish Concrete Society: The New Concrete Standards: An Introduction to EN 206-1, Dublin, 2004, . p. 23.
  • [6] Concrete According to PN EN 206-1 Standard – Comments – Collective Work under the Guidance of Lech Czarnecki, Polski Cement, Kraków, 2004 (in Polish).
  • [7] J. Jasiczak, Criteria for Control of Stability of the Compressive Strength of Concrete Defined by Probabilistic Methods, WPP, Poznań, 1992 (in Polish).
  • [8] J. Jasiczak, Continuous control of the compressive strength of concrete based on the example of customs terminal construction in Świecko, in: 41st Civil and Water Engineering Research Conference Committee of PAN and PZITB scientific committee, Kraków–Krynica, 1995, pp. 29–36 (in Polish).
  • [9] J. Jasiczak, Probabilistic criteria for the control of compressive strength stabilization in concrete, Foundations of Civil and Environmental Engineering 14 (2011) 47–61.
  • [10] PN-55/B-06250, Plain concrete.
  • [11] PN-63/B-06250, Plain concrete.
  • [12] PN-75/B-06250, Plain concrete.
  • [13] PN-88/B-06250, Plain concrete.
  • [14] T. Harrison, The use of concrete families in the control of concrete, in: Utilizing Ready Mix Concrete and Mortar, Proceedings of the International Conference, UK, Scotland, (1999), pp. 269–276.
  • [15] R. Caspeele, L. Taerwe, Conformity control of concrete based on the ‘‘concrete family’’ concept, in: 5th International Probabilistic Control, Ghent, (2007), pp. 241–252.
  • [16] L.J. Ping, S.G. Hong, G.L. Yong, Use of ‘‘concrete family’’ concept for conformity control of ready mixed concrete, in: 35th Conference on Our World in Concrete & Structures, 25– 27 August, Singapore, 2010.
  • [17] L. Taerwe, Basic aspect of quality control of concrete, in: Utilizing Ready Mix Concrete and Mortar, Proceedings of the International Conference, UK, Scotland, (1999), pp. 221–235.
  • [18] ACI 214R-11 Guide to Evaluation of Strength Test Results of Concrete, Reported by ACI Committee 214 in April 2011.
  • [19] K.O. Olusola, A.J. Babafemi, A.A. Umoh, B.J. Olawuyi, Effect of batching methods on the fresh and hardened properties of concrete, International Journal of Research and Reviews in Applied Sciences 13 (3) (2012) 773–779.
  • [20] S. Woliński, Assessment of Concrete Quality using Standard Methods and Fuzzy Logic, Polski Cement, Kraków, 2006 pp. 1121–1131 (in Polish) (Wisła, 9–11.10.2006).
  • [21] S.H. Gebler, Interpretation of quality–control charts for concrete production, ACI Materials Journal 87 (4) (1990) 319–326.
  • [22] PN-ISO 8258:1996, Shewhart's control charts.
  • [23] M. Kanoniczak, Strength control of concrete highway surface by using Shewhart's control charts, in: 57th Annual Conference on Scientific Problems of Civil Engineering, Krynica–Rzeszów, 2011, pp. 132–133 (in Polish).
  • [24] K.W. Day, Concrete Mix Design, Quality Control and Specification, Taylor & Francis, New York, USA, 2006.
  • [25] I. Gibb, T. Harrison, Use of Control Charts in the Production of Concrete, MPA/BRMCA–ERMCO, Brussels, 2010.
  • [26] W. Krysicki, J. Bartos, W. Dyczka, K. Królikowska, M. Wasilewski, Probability and Mathematical Statistics in Tasks. Part 1. Probability, PWN, Warszawa, 1986 (in Polish).
  • [27] T. Górecki, Basics of the Statistics with Examples in R, BTC Publishing, Legionowo, 2011 (in Polish).
  • [28] E. Kreyszig, Introductory Mathematical Statistics: Principles and Methods, John Wiley & Sons Inc., West Sussex, 1970, p. 470.
  • [29] H.T. Nguyen, G.S. Rogers, Fundamentals of Mathematical Statistics, vol. II, Statistical Inference, Springer-Verlag Inc., New York, 1989.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-908ab8ce-fec9-45c8-8613-880f72f43b6b
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