Effectiveness of preventive structural protection against mining impacts and Maintenance Management on technical state of masonry buildings

Authors

DOI:

https://doi.org/10.24425/ace.2022.140641

Abstract

This research paper presents the results of the analyses of the course of technical wear over time carried out for residential masonry buildings located in the mining area of the Lublin Coal Basin (LCB). As a result of the conducted analyses, models of the course of technical wear over time were obtained for the entire building development and for groups of buildings, taking into account the conducted renovation works and preventive structural protection. By comparing the parameters of the developed models, statistically significant differences in the course of technical wear resulting from the quality of maintenance and the use of preventive measures were identified. In addition, the durability of individual groups of structures was estimated and compared. Based on a comparison of the course of technical wear of 22-year-old building structures, unrenovated and with similar structural and material solutions, it was found that the rate of increase in technical wear after 50 years of use is on average 3.5% lower than in the case of unprotected buildings. In addition, the use of preventive structural protection extends the durability of the analysed building structures by an average of over 13 years. The obtained results may e.g. help owners or managers optimise the Maintenance Management of building structures.

References

[1] A. Wodyński, Zużycie techniczne budynków na terenach górniczych. Kraków, Polska: Uczelniane Wydawnictwa Naukowo Dydaktyczne AGH, 2007.

[2] F. Rezaei, C. Bulle, P. Lesage, “Integrating building information modeling and life cycle assessment in the early and detailed building design stages”, Building and Environment, 2019, vol. 153, pp. 158-167, DOI: 10.1016/j.buildenv.2019.01.034.

[3] R. Ayman, Z. Alwan, L. McIntyre, “BIM for sustainable project delivery: review paper and future development areas”, Architectural Science Review, 2020, vol. 63, no. 1, pp. 15-33, DOI: 10.1080/00038628.2019.1669525.

[4] J. Konior, M. Sawicki, M. Szóstak, “Intensity of the Formation of Defects in Residential Buildings with Regards to Changes in Their Reliability”, Applied Sciences, 2020, vol. 10, no. 19, art. ID 6651, DOI: 10.3390/app10196651.

[5] B. Nowogońska, J. Korentz, “Value of Technical Wear and Costs of Restoring Performance Characteristics to Residential Buildings”, Buildings, 2020, vol. 10, no. 1, DOI: 10.3390/buildings10010009.

[6] R. Hejmanowski, A.A. Malinowska, “Significance of the uncertainty level for the modelling of ground deformation ranges”, International Journal of Rock Mechanics & Mining Sciences, 2016, vol. 83, pp. 140-148, DOI: 10.1016/j.ijrmms.2015.12.019.

[7] M. Abdallah, T. Verdel, “Behavior of a masonry wall subjected to mining subsidence, as analyzed by experimental designs and response surfaces”, International Journal of Rock Mechanics & Mining Sciences, 2017, vol. 100, pp. 199-206, DOI: 10.1016/j.ijrmms.2017.10.003.

[8] A. Sroka, R. Misa, K. Tajduś, M. Dudek, “Analytical design of selected geotechnical solutions which protect civil structures from the effects of underground mining”, Journal of Sustainable Mining, 2018, vol. 18, pp. 1-7, DOI: 10.1016/j.jsm.2018.10.002.

[9] K. Tajduś, A. Tajduś, M. Cała, “Seismicity and rock burst hazard assessment in fault zones: a case study”, Archives of Mining Sciences, 2018, vol. 63, pp. 747-765, DOI: 10.24425/123695.

[10] E. Can, S. Kuscu, M.E. Kartal, “Effects of mining subsidence on masonry buildings in Zonguldak hard coal region in Turkey”, Environmental Earth Sciences, 2012, vol. 66, pp. 2503-2518, DOI: 10.1007/s12665-011-1473-2.

[11] A. Wodyński, K. Firek, W. Kocot, “Ocena wpływu remontów oraz zabezpieczeń profilaktycznych na trwałość budynków murowanych w LGOM”, Inżynieria Środowiska / Akademia Górniczo-Hutnicza im. S. Staszica w Krakowie, 2006, vol. 11, pp. 39-52.

[12] K. Firek, A. Wodyński, “Qualitative and quantitative assesment of mining impacts influence on traditional development in the mining areas”, Archives of Mining Sciences, 2011, vol. 56, pp. 179-188.

[13] J. Rusek, “Application of Support Vector Machine in the analysis of the technical state of development in the LGOM mining area”, Eksploatacja i Niezawodność - Maintenance and Reliability, 2017, vol. 19, no. 1, pp. 54-61, DOI: 10.17531/ein.2017.1.8.

[14] J. Rusek, K. Firek, A. Wodyński, “Assessing the Influence of Mining Impacts on Buildings using SVM and MLR Method”, in IOP Conference Series: Materials Science and Engineering, 2019, pp. 52-60, DOI: 10.1088/1757-899X/471/5/052060.

[15] B. Daniotti, S.L. Spagnolo, “Service Life Prediction Tools for Building’s Design and Management”, in Proceedings of the11 DBMC International Conference on Durability of Building Materials and Components, Istanbul, Turkey, 2008.

[16] J. Kwiatek, Ochrona obiektów budowlanych na terenach górniczych. Katowice, Polska: Wydawnictwo Głównego Instytutu Górnictwa, 1997.

[17] G. Mutke, Zasady stosowania górniczej skali intensywności sejsmicznej GSIS-2017 do prognozy i oceny skutków oddziaływania wstrzasów indukowanych eksploatacją na obiekty budowlane oraz klasyfikacji ich odporności dynamicznej. Katowice, Polska: Główny Instytut Górnictwa, 2017.

[18] W. Lejczak, W. Kiczan, B. Lubas, B. Stranz, Z. Bojarski, Zasady stosowania budownictwa zastępczego na terenach górniczych. Katowice, Polska: Wyd. Śląsk, 1969.

[19] J.L. Devore, K.N. Berk, Modern Mathematical Statistics with Applications. Springer, 2012.

[20] R. Pratap, Getting Started with MATLAB: A Quick Introduction for Scientists and Engineers. Oxford University Press, 2017.

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Published

2022-06-30

How to Cite

Jędrzejczyk, Adrian, et al. “Effectiveness of Preventive Structural Protection Against Mining Impacts and Maintenance Management on Technical State of Masonry Buildings”. Archives of Civil Engineering, vol. 68, no. 2, June 2022, pp. 261-73, doi:10.24425/ace.2022.140641.

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