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REGRESSION EQUATION AS A MEANS OF DETERMINING THE ACCEPTABLE LEVEL OF RISK WHEN USING ONLY NON-DESTRUCTIVE DIAGNOSTIC METHODS DURING BUILDING STRUCTURE DIAGNOSIS

Jakub Niedoba, Kristýna Hrabová, Dominik Masarik, Sabina Hublova, Petr Cikrle

First published: 2021-12-20https://doi.org/10.5593/sgem2021/6.1/s26.51View metrics

Abstract

The diagnosis of existing structures determines the current state of the selected object. In order to diagnose structures as accurately as possible, it is necessary to choose reliable and effective survey methods, which are used to achieve objective and reliable results. When choosing destructive physical analysis, which includes, for example, concrete cores, accurate and appropriate results are obtained. However, the disadvantage of these methods is that they result in irreversible damage to the structure. For this reason, non-destructive diagnostic methods are beginning to be used, as they do not compromise the integrity of the material. In order to be able to use non-destructive diagnostic methods in the future with the same reliability and efficiency as destructive physical analysis, it is necessary to obtain larger data sets that would enable their refinement. This article focuses on the application of the ultrasonic pulse velocity method and a rebound hammer test on a set of samples created from different concrete grades. A regression equation is then created from the partial results, on the basis of which it is possible to determine the level of risk when using only non-destructive methods in the diagnosis of building structures.

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Publication details

Title
REGRESSION EQUATION AS A MEANS OF DETERMINING THE ACCEPTABLE LEVEL OF RISK WHEN USING ONLY NON-DESTRUCTIVE DIAGNOSTIC METHODS DURING BUILDING STRUCTURE DIAGNOSIS
Authors
Jakub Niedoba, Kristýna Hrabová, Dominik Masarik, Sabina Hublova, Petr Cikrle
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 21st SGEM International Multidisciplinary Scientific GeoConference Proceedings 2021 Nano Bio Green and Space Technologies for Sustainable Future
Publisher
STEF92 Technology
Year
2021
Pages
255-262
SWS Citekey
Niedoba202126401408
ISSN
1314-2704
ISBN
978-619-7603-30-9
Language
en
Publication type
Conference Paper
Keywords
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