ANALYSIS OF THE INFLUENCE OF MINING IMPACTS ON THE INTENSITY OF DAMAGE TO MASONRY BUILDING STRUCTURES

The paper presents the results of the analysis of the extent of damage to building structures subjected to mining impacts in the form of tremors and continuous surface deformation. The two methods which were used included the multiple regression analysis and the Support Vector Machine – SVM, which b...

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Main Author: Karol FIREK
Format: Article
Language:Polish
Published: Rzeszow University of Technology
Series:Journal of Civil Engineering, Environment and Architecture
Subjects:
Online Access:http://doi.prz.edu.pl/pl/pdf/biis/749
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spelling doaj-308628ee9c8a4ca0a08aae4ecaa814bd2020-11-24T22:33:24ZpolRzeszow University of TechnologyJournal of Civil Engineering, Environment and Architecture2300-51302300-890310.7862/rb.2017.72017.7ANALYSIS OF THE INFLUENCE OF MINING IMPACTS ON THE INTENSITY OF DAMAGE TO MASONRY BUILDING STRUCTURESKarol FIREK0AGH University of Science and Technology in CracowThe paper presents the results of the analysis of the extent of damage to building structures subjected to mining impacts in the form of tremors and continuous surface deformation. The two methods which were used included the multiple regression analysis and the Support Vector Machine – SVM, which belongs to the so-called Machine Learning. The study used the database of the design, technical condition and potential causes of damage to 199 non-renovated buildings, up to the age of 20 years, of a traditional brick construction, located in the mining area of Legnica-Głogów Copper District (LGOM). The conducted analysis allowed for the qualitative assessment of the influence of mining impacts on the extent of damage to the studied buildings.http://doi.prz.edu.pl/pl/pdf/biis/749technical condition of buildings, buildings of masonry structure, mining impacts, Partial Least Squares Regression, multiple regression analysis, Support Vector Machine
collection DOAJ
language Polish
format Article
sources DOAJ
author Karol FIREK
spellingShingle Karol FIREK
ANALYSIS OF THE INFLUENCE OF MINING IMPACTS ON THE INTENSITY OF DAMAGE TO MASONRY BUILDING STRUCTURES
Journal of Civil Engineering, Environment and Architecture
technical condition of buildings, buildings of masonry structure, mining impacts, Partial Least Squares Regression, multiple regression analysis, Support Vector Machine
author_facet Karol FIREK
author_sort Karol FIREK
title ANALYSIS OF THE INFLUENCE OF MINING IMPACTS ON THE INTENSITY OF DAMAGE TO MASONRY BUILDING STRUCTURES
title_short ANALYSIS OF THE INFLUENCE OF MINING IMPACTS ON THE INTENSITY OF DAMAGE TO MASONRY BUILDING STRUCTURES
title_full ANALYSIS OF THE INFLUENCE OF MINING IMPACTS ON THE INTENSITY OF DAMAGE TO MASONRY BUILDING STRUCTURES
title_fullStr ANALYSIS OF THE INFLUENCE OF MINING IMPACTS ON THE INTENSITY OF DAMAGE TO MASONRY BUILDING STRUCTURES
title_full_unstemmed ANALYSIS OF THE INFLUENCE OF MINING IMPACTS ON THE INTENSITY OF DAMAGE TO MASONRY BUILDING STRUCTURES
title_sort analysis of the influence of mining impacts on the intensity of damage to masonry building structures
publisher Rzeszow University of Technology
series Journal of Civil Engineering, Environment and Architecture
issn 2300-5130
2300-8903
description The paper presents the results of the analysis of the extent of damage to building structures subjected to mining impacts in the form of tremors and continuous surface deformation. The two methods which were used included the multiple regression analysis and the Support Vector Machine – SVM, which belongs to the so-called Machine Learning. The study used the database of the design, technical condition and potential causes of damage to 199 non-renovated buildings, up to the age of 20 years, of a traditional brick construction, located in the mining area of Legnica-Głogów Copper District (LGOM). The conducted analysis allowed for the qualitative assessment of the influence of mining impacts on the extent of damage to the studied buildings.
topic technical condition of buildings, buildings of masonry structure, mining impacts, Partial Least Squares Regression, multiple regression analysis, Support Vector Machine
url http://doi.prz.edu.pl/pl/pdf/biis/749
work_keys_str_mv AT karolfirek analysisoftheinfluenceofminingimpactsontheintensityofdamagetomasonrybuildingstructures
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