Regression Modelling of Service Life Prediction of External Wall Painting of Algiers Building
DOI:
https://doi.org/10.54338/27382656-2025.9-01Keywords:
External facades painting, Degradation severity, Degradation agents, Service life predictionAbstract
Paint coatings, as a protective layer of external wall building envelopes, are mainly exposed to several degradation agents, including environmental and climate factors. In the case of North African countries, there are no studies about the estimation of the performance of this coating exposed under the conditions of these regions during its service life. For this purpose, this paper presents a statistical study on the evolution of service life (SL) prediction for external wall painting, based on the inspection of the degradation state of 45 building facades located in Algiers, Algeria. The selection of different investigated external wall paintings is mainly focused on considering their age, the distance from the coastal zone, and the facade orientations. The degradation severity of selected coatings was also estimated in this work using the calculation of a numerical index (Sw). Simple regression analysis (graphical method) and multiple linear regression analysis (MLR) are used for the development of a mathematical model. The main results of this work indicate clearly a high correlation between the values predicted by the mathematical model, which corresponds to a high value of coefficient of determination of 0.95. A comparison study is also conducted in this investigation work between the performance of the obtained model and the MLR model developed by previous research about the SL prediction of paint coating. As a result, the obtained model during this study gives good precision despite the moderate quantity of considered external wall painting.
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J. Barrelas, A. Silva, J. de Brito, A. Tadeu, Influence of Temperature Increase and Precipitation Decrease on the Degradation Evolution of Rendered Façades in Service Conditions. Journal of Building Engineering, 94, 2024, 109843. Doi: https://doi.org/10.1016/j.jobe.2024.109843
C.O. Folorunso, M.H. Ahmad, Performance and Resistance of Paint used as Exterior Finish in Salt Laden Environment. Structural Survey, 31(3), 2013, 214-224.Doi: https://doi.org/10.1108/SS-10-2012-0036
A. Silva, P. Gaspar, J. de Brito, Evaluation of the Service Life of External Painted Surfaces Applying Statistical Tools, in: 1st International Symposium on Building Pathology (ISBP 2015). Porto, Portugal, 2015. http://dx.doi.org/10.13140/RG.2.1.5026.9528
M. Magos, J. de Brito, P.L. Gaspar, A. Silva, Application of the Factor Method to the Prediction of the Service Life of External Paint Finishes on Façades. Materials and Structures, 49, 2016, 5209-5225. Doi: http://dx.doi.org/10.1617/s11527-016-0855-z
T.V. Uchaeva, V.I. Loganina, Analysis of the Risk at the Finishing of the Building Products and Construction of Paint Compositions. Case Studies in Construction Materials, 8 (2018) 213-216. Doi: https://doi.org/10.1016/j.cscm.2018.01.001
E. Bauer, C.B. Piazzarollo, J.S. de Souza, D.G. dos Santos, Relative Importance of Pathologies in the Severity of Facade Degradation. Journal of Building Pathology and Rehabilitation, 5 (7), 2020, 1-10. Doi: https://doi.org/10.1007/s41024-020-0072-6
A. Silva, J. de Brito, P.L. Gaspar, Comparative Analysis of Service Life Prediction Methods Applied to Rendered Façades. Materials and Structures, 49, 2016, 4893-4910. Doi: https://doi.org/10.1617/s11527-016-0832-6
E.A. Teo, N. Harikrishna, A Quantitative Model for Efficient Maintenance of Plastered and Painted Facades. Construction Management and Economics, 24 (12), 2006, 1283-1293. Doi: https://doi.org/10.1080/01446190600987704
M.A. Garrido, P.V Paulo, F.A. Branco, Service Life Prediction of Façade Paint Coatings in Old Buildings. Construction and Building Materials, 29, 2012, 394-402. Doi: https://doi.org/10.1016/j.conbuildmat.2011.10.057
C. Chai, J. De Brito, P.L. Gaspar, A. Silva, Predicting the Service Life of Exterior Wall Painting: Techno-Economic Analysis of Alternative Maintenance Strategies. Journal of Construction Engineering and Management, 140 (3), 2014, 4013057. Doi: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000812
C. Chai, J. De Brito, P.L. Gaspar, A. Silva, Statistical Modelling of the Service Life Prediction of Painted Surfaces. International Journal of Strategic Property Management, 19 (2), 2015, 173-185. Doi: https://doi.org/10.3846/1648715X.2015.1031853
P.L. Gaspar, J. de Brito, Quantifying Environmental Effects on Cement-Rendered Facades: A Comparison between Different Degradation Indicators. Building and Environment, 43 (11), 2008, 1818-1828. Doi: https://doi.org/10.1016/j.buildenv.2007.10.022
R. Bordalo, J. de Brito, P.L. Gaspar, A. Silva, Service Life Prediction Modelling of Adhesive Ceramic Tiling Systems. Building Research & Information, 39 (1), 2011, 66-78. Doi: https://doi.org/10.1080/09613218.2010.532197
E. Brandt, M.H. Rasmussen, Assessment of Building Conditions. Energy and Buildings, 34 (2), 2002 121-125. Doi: https://doi.org/10.1016/S0378-7788(01)00102-5
F. Flourentzou, E. Brandt, C. Wetzel, MEDIC—A Method for Predicting Residual Service Life and Refurbishment Investment Budgets. Energy and Buildings, 31(2), 2000, 167-170. Doi: https://doi.org/10.1016/S0378-7788(99)00031-6
A. Silva, J. de Brito, P.L. Gaspar, Service Life Prediction Model Applied to Natural Stone Wall Claddings (Directly Adhered to the Substrate). Construction and Building Materials, 25 (9), 2011, 3674-3684. Doi: https://doi.org/10.1016/j.conbuildmat.2011.03.064
J. Hinks, G. Cook, The Technology of Building Defects. Routledge, London, 2002. Doi: https://doi.org/10.4324/9780203475362
A. Hammas, A. Brara, Service Life Prediction of Paint Coating of Algiers Building Envelopes by Applying a Multiple Linear Regression Analysis. Proceedings of the International Conference of Contemporary Affairs in Architecture and Urbanism-ICCAUA, 6 (1), 2023, 150-156. Doi: https://doi.org/10.38027/iccaua2023en0255
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