Improving the accuracy of determining corrosion products in reinforced concrete structures by atomic emission spectrum analysis
https://doi.org/10.25206/1813-8225-2023-187-125-130
EDN: TTTPLT
Abstract
To determine the composition of inhomogeneous samples using the method of laser-spark emission spectrometry, calibration dependences are used, which can have significant systematic errors that significantly affect the determination of the quantitative composition of elements. Sample inhomogeneity also causes inaccuracies in replicate measurements. To reduce errors, multi-signal calibration and internal standard methods are used, which can significantly improve accuracy when changing experimental conditions and eliminate the need to purchase ex-pensive standard samples.
About the Authors
A. A. Kuznetsov
Omsk State Transport University
Russian Federation
Russian Federation
KUZNETSOV Andrey Albertovich, Doctor of Technical Sciences, Professor, Head of Theoretical Electrical Engineering Department
Omsk
AuthorID (RSCI): 358976
AuthorID (SCOPUS): 56824984500
N. V. Volkova
Omsk State Transport University
Russian Federation
Russian Federation
VOLKOVA Nataliia Vladimirovna, Applicant of Theoretical Electrical Engineering Department
Omsk
AuthorID (RSCI): 1044951
AuthorID (SCOPUS): 57217279867
K. I. Fomichenko
Omsk State Transport University
Russian Federation
Russian Federation
FOMICHENKO Kirill Igorevich, Graduate Student of Theoretical Electrical Engineering Department
Omsk
AuthorID (RSCI): 1118770
AuthorID (SCOPUS): 57223102995
D. M. Korshunov
Lomonosov Moscow State University
Russian Federation
Russian Federation
KORSHUNOV Dmitry Mikhailovich, Candidate of Geology and Mineralogy Sciences, Technician of Geology, Geochemistry and Economics of Mineral Resources Department
Moscow
AuthorID (RSCI): 1118067
AuthorID (SCOPUS): 57221109159
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Review
For citations:
Kuznetsov A.A., Volkova N.V., Fomichenko K.I., Korshunov D.M. Improving the accuracy of determining corrosion products in reinforced concrete structures by atomic emission spectrum analysis. Omsk Scientific Bulletin. 2023;(3):125-130. (In Russ.) https://doi.org/10.25206/1813-8225-2023-187-125-130. EDN: TTTPLT
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