DOI: 10.18503/1995-2732-2021-19-3-90-101
Abstract
Problem Statement (Relevance). Quality indicators of finished products determine its demand in the consumer market. To decide on the applicability of materials and structures in the construction industry, it is currently the most appropriate to perform experimental studies, whose results are to be analyzed using an information database and knowledge. Objectives. The purpose of the experimental study presented in the paper is to generate new knowledge about the quality of concrete samples in a new information field that consolidates information about the results of full-scale tests and video streams that are obtained during active laboratory experiments. Methods Applied. When conducting the experimental studies, the authors used a conventional technology of testing concrete samples for axial compression accompanied by continuous monitoring and a video stream for each sample. Originality. A distinctive feature of the study is the information field of experiments, which contains three levels: the level of initial data, the level of analyzing the initial data and the level of generating new knowledge. At the end of the experiment, the level of analyzing the initial data using the video stream results in getting information that cannot be captured in real time. Results. The paper presents the examples of crack propagation on the sample surface. The samples under study were used to calculate time intervals at various rates of defect growth. It has been proved that filtration algorithms and the Canny edge detector can be used to process images of the concrete samples from the beginning of their loading till their fracture. Practical Relevance. The results were used to identify new opportunities for forming the information field during conventional experimental studies of the quality of concrete samples and, using the information obtained, to identify development patterns of surface discontinuity that cannot be detected using organoleptic control methods. New opportunities for forming the information field contribute to obtaining and processing real time information on the state of concrete and reinforced concrete structures of construction projects in terms of their quality and, using such data, to predict the risk of accidents, including at hazardous production facilities.
Keywords
Product quality indicators, concrete samples, experimental basis, information field, generation of new knowledge about quality.
For citation
Narkevich M.Yu., Logunova O.S., Kornienko V.D., Nikolaev A.A., Tyulyumov A.N., Zlydarev N.V., Deryabin D.I. Quality of Materials, Products and Structures in Industrial Safety: an Empirical Basis. Vestnik Magnitogorskogo Gosudarstvennogo Tekhnicheskogo Universiteta im. G.I. Nosova [Vestnik of Nosov Magnitogorsk State Technical University]. 2021, vol. 19, no. 3, pp. 90–101. https://doi.org/10.18503/1995-2732-2021-19-3-90-101
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