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RESEARCH OF BUILDING MATERIALS

Identification of the corrosion in cement composites by means of statistical modeling

Vestnik MGSU 4/2014
  • Grishina Anna Nikolaevna - Moscow State University of Civil Engineering (National Research University) (MGSU) Candidate of Technical Sciences, senior research worker, Research and Educational Center “Nanomaterials and Nanotechnologies”, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Zemlyakov Andrey Nikolaevich - Administration of Civil Airports (Airfields) (AGA(A)) Candidate of Technical Sciences, Vice-director on Technology, chief engineer, Administration of Civil Airports (Airfields) (AGA(A)), 28, 5 Voykovskiy proezd, 125171, Moscow, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Korolev Evgeniy Valer’evich - Moscow State University of Civil Engineering (National Research University) (MGSU) Doctor of Technical Sciences, Professor, Advisor of RAACS, Prorector, Director of the “Nanomaterials and Nanotechnologies” Research and Educational Center, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Okhotnikova Kristina Yur’evna - Moscow State University of Civil Engineering (MGSU) master degree student, Institute of Construction and Architecture, Moscow State University of Civil Engineering (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Smirnov Vladimir Alekseevich - Moscow State University of Civil Engineering (MGSU) Candidate of Technical Sciences, Associate professor, leading research worker, Research and Educational Center “Nanomaterials and Nanotechnologies”, Moscow State University of Civil Engineering (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 87-97

The analysis of a large set of samples by means of several different methods - petrography, optical microscopy, IR- and Raman spectroscopy, porosimetry, DSC - is very common in practice of material science. After carrying out all the experiments, the groups of researchers obtain a wealth of raw data. The required final result, though, in most cases is to answer several - or even one - question concerning the state of the construction. Obviously, the transition from empirical information to the final decision can be done by means of non formal operations, for example expert appraisal. However, even for most intelligent experts it is quite difficult to perform such an evaluation. In order to condense the raw experimental data we propose simple and formal procedure. The offered method consists of several steps. The first step is to arrange data in such a way, that the rectangular matrix (of size M by N, where M and N are the number of samples and methods, respectively) is formed. This matrix can be called matrix of defectiveness. Then, for all pairs of columns of the mentioned matrix, we compute the Pearson's product-moment (correlation) coefficient; the result is the symmetric N by N matrix of accordance of methods. By means of summation over the rows of the later matrix we obtain information concerning the mutual correspondence of the methods - vector of significance (third step). And finally, at the fourth step, we compute the M scalar products of vector of significance and row of the matrix of defectiveness. The M obtained values are subject to further application by the descriptive statistics, and on the basis of this statistics the final decision can be made. The offered method was successfully applied in the practical task of identification of alcali-silica reaction.

DOI: 10.22227/1997-0935.2014.4.87-97

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