Functional and Physical Service Life of Natural Stone Claddings
Publication: Journal of Materials in Civil Engineering
Volume 28, Issue 12
Abstract
During their lifecycle, a building and its components should fulfill a set of performance requirements. However, in reality, from the moment in which a building is placed in use, its deterioration process begins. Buildings and especially their façades, more exposed to the external environmental agents, suffer throughout their service life several types of depreciation, becoming obsolete, economically destitute, or physically deteriorated, leading to the end of their service life. This paper intends to establish a correlation between functional criteria (FBSL) and physical degradation () in the definition of service-life prediction models. In this study, these models are applied to 203 natural stone claddings (directly adhered to the substrate), located in the Lisbon area, Portugal. The functionality and degradation condition of the façades analyzed are evaluated through visual inspections. Vulnerability and risks (intrinsic and extrinsic variables) are considered in the evaluation of both methods, as the factors that affect the physical and functional service life of buildings. These models are implemented based on a survey of expert opinion. This study allows establishment of a hierarchical scale concerning the priority of intervention in the stone claddings, based on physical and functional criteria. This information is extremely important in the implementation of maintenance programs in large building stocks.
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Acknowledgments
The authors gratefully acknowledge the support of research scholarship IV.2 Special Actions of Internationalization, 5th Research Plan, University of Seville, and also the support of CERIS-ICIST from IST, University of Lisbon, and FCT, Foundation for Science and Technology.
References
AENOR (Asociación Española de Normalización y Certificación). (2009). “Building diagnosis. Part 1: General. Committee AEN/CTN 41—Construcción.” UNE 41805:2009 224, Madrid, Spain.
Aikivuori, A. (1999). “Critical loss of performance—What fails before durability.” Proc., 8th Int. Conf. on Durability of Building Materials and Components, National Research Council Canada, Vancouver, Canada, 1369–1376.
Aktas, C. B., and Bilec, M. M. (2012). “Service life prediction of residential interior finishes for life cycle assessment.” Int. J. Life Cycle Assess., 17(3), 362–371.
Andersen, T., and Brandt, E. (1999). “The use of performance and durability data in assessment of life time serviceability.” Proc., 8th Int. Conf. on Durability of Building Materials and Components, National Research Council Canada, Vancouver, Canada, 1813–1820.
Barberousse, H., Ruot, B., Yéprémian, C., and Boulon, G. (2007). “An assessment of façade coatings against colonisation by aerial algae and cyanobacteria.” Build. Environ., 42(7), 2555–2561.
Camuffo, D. (1995). “Physical weathering of stones.” Sci. Tot. Environ., 167(1–3), 1–14.
de Lima, M. I. P., Espírito Santo, F., Ramos, A. M., and de Lima, J. L. M. P. (2013). “Recent changes in daily precipitation and surface air temperature extremes in mainland Portugal, in the period 1941-2007.” Atmos. Res., 127, 195–209.
Dias, J. L., Silva, A., Chai, C., Gaspar, P. L., and De Brito, J. (2014). “Neural networks applied to service life prediction of exterior painted surfaces.” Build. Res. Inf., 42(3), 371–380.
Emídio, F., de Brito, J., Gaspar, P. L., and Silva, A. (2014). “Application of the factor method to the estimation of the service life of natural stone cladding.” Constr. Build. Mater., 66, 484–493.
Fernández-Montes, S., Rodrigo, F. S., Seubert, S., and Sousa, P. M. (2013). “Spring and summer extreme temperatures in Iberia during last century in relation to circulation types.” Atmos. Res., 127, 154–177.
Flanagan, R., Norman, G., Meadows, J., and Robinson, G. (1989). Life cycle costing: Theory and practice, BSP Professional Books, Oxford, U.K.
Flores-Colen, I., and de Brito, J. (2010). “A systematic approach for maintenance budgeting of buildings façades based on predictive strategies.” Constr. Build. Mater., 24(9), 1718–1729.
Flores-Colen, I., de Brito, J., and Freitas, V. (2010). “Discussion of criteria for prioritization of predictive maintenance of building façades—Survey of 30 experts.” J. Perform. Constr. Facil., 337–344.
Flourentzou, F., Brandt, E., and Wetzel, C. (2000). “MEDIC—A method for predicting residual service life and refurbishment investment budgets.” Energy Build., 31(2), 167–170.
Gaspar, P., and de Brito, J. (2008a). “Service life estimation of cement-rendered facades.” Build. Res. Inf., 36(1), 44–55.
Gaspar, P., and de Brito, J. (2011). “Limit states and service life of cement renders on façades.” J. Mater. Civ. Eng., 1396–1404.
Gaspar, P. L., and de Brito, J. (2008b). “Quantifying environment effects on cement-rendered facades: A comparison between different degradation indicators.” Build. Environ., 43(11), 1818–1828.
Grant, A., Ries, R., and Kibert, C. (2014). “Life cycle assessment and service life prediction: A case study of building envelope materials.” Res. Anal., 18(2), 187–200.
Heritage Conservation Network. (2015). “The Heritage Conservation Network works in a number of countries around the world on a variety of project types, including preservation of historic buildings and landscapes.”
Ibáñez, A. J. P., Macías Bernal, J. M., de Diego, J. C., and Sánchez, F. J. A. (2015). “Expert system for predicting buildings service life under ISO 31000 standard: Application in architectural heritage.” J. Cult. Heritage, 18, 209–218.
ISO. (2011). “Buildings and constructed assets—Service life planning—Part 1: General principles and framework.” ISO 15686-1, Geneva.
Jager, R., Verbrugen, H. B., and Bruhx, P. M. (1992). “The role of defuzzification methods in the application of fuzzy logic.” Symp. on Intelligent Components and Instruments for Control Applications, International Federation of Automatic Control Publications, Laxenburg, Austria.
Jamshidi, A., Yazdani-Chamzini, A., Yakhchali, S. H., and Khaleghi, S. (2013). “Developing a new fuzzy inference for pipeline risk assessment.” J. Loss Prev. Process Ind., 26(1), 197–208.
Künhel, R. (2004). “Cause and consequence: Volume changes behind building material deterioration.” Mater. Charact., 53(2–4), 171–180.
Kutiel, H., and Trigo, R. M. (2014). “The rainfall regime in Lisbon in the last 150 years.” Theor. Appl. Climatol., 118(3), 387–403.
Law on Construction Planning. (2007). “Rehabimed method; RehabiMed method. Traditional mediterranean architecture, II Rehabilitation buildings.” RMSU Euromed Heritage, Bruxelles, Belgium.
Macias, J. M., and Chavez, M. J. (2013). “Predictive model for the useful lifetime of a set of buildings of the Archdiocese of Seville.” Science and technology for the conservation of cultural heritage, M. A. Rogerio-Candelera, M. Lazzari, and E. Cano, eds., Taylor & Francis Group, London.
Macías-Bernal, J. M., Calama, J. M., and Chávez, M. J. (2014). “Modelo de predicción de la vida útil de la edificación patrimonial a partir de la lógica difusa.” Informes de la Construcción, 66(533), e006 (in Spanish).
Mamdani, E. H., and Assilian, S. (1975). “An experiment in linguistic synthesis with a fuzzy logic controller.” Int. J. Man-Machine Stud., 7(1), 1–13.
Masters, L. W. (1985). Problems in service life prediction of building and construction materials, Martinus Nijhoff, Dordrecht, Netherlands.
Möller, B., and Reuter, U. (2007). “Prediction of uncertain structural responses using fuzzy time series.” Comput. Struct., 86(10), 1123–1139.
Moreno-Velo, F. J., Baturone, I., Barriga, A., and Sánchez-Solano, S. (2007). “Automatic tuning of complex fuzzy system with Xfuzzy.” Fuzzy Sets Syst., 158(18), 2026–2038.
Moser, K. (2004). “Engineering design methods for service life prediction.” CIB-W080/ RILEM 175 SLM: Service life methodologies prediction of service life for buildings and components, Norwegian Univ. of Science and Technology (NTNU), Trondheim, Norway, 59–102.
National Cathedrals Plan. (1990). 〈http://ipce.mcu.es/pdfs/PNCatedralesCompleto_EN.pdf〉.
Opina version 3 [Computer software]. Servicio de Informática y Comunicaciones de la Universidad de Sevilla, Seville, Spain.
Ortiz, P., Antunez, V., Martín, J. M., Ortiz, R., Vázquez, M. A., and Galán, E. (2013). “Approach to environmental risk analysis for the main monuments in a historical city.” J. Cult. Heritage, 15(4), 432–440.
Pinheiro, L. M., Wilson, R. C. L., Pena dos Reis, R., Whitmarsh, R. B., and Ribeiro, A. (1996). “The western Iberia margin: A geophysical and geological overview.” Proc. Ocean Drilling Program, Scientific Results, R. B. Whitmarsh, D. S. Sawyer, A. Klaus, and D. G. Masson, eds., Vol. 149, Ocean Drilling Program, College Station, TX.
Ross, T. J. (2010). Fuzzy logic with engineering applications, Wiley, Chichester, U.K.
Shohet, I., and Laufer, A. (1996). “Exterior cladding methods: A techno-economical comparison.” J. Constr. Eng. Manage., 242–247.
Shohet, I., and Paciuk, M. (2004). “Service life prediction of exterior cladding components under standard conditions.” Constr. Manage. Econ., 22(10), 1081–1090.
Shohet, I., Putterman, M., and Gilboa, E. (2002). “Deterioration patterns of building cladding components for maintenance management.” Constr. Manage. Econ., 20(4), 305–314.
Silva, A., de Brito, J., Gaspar, P. (2013a). “Probabilistic analysis of the degradation evolution of stone wall cladding (directly adhered to the substrate).” J. Mater. Civ. Eng., 227–235.
Silva, A., de Brito, J., and Gaspar, P. L. (2011a). “Service life prediction model applied to natural stone wall claddings (directly adhered to the substrate).” Constr. Build. Mater., 25(9), 3674–3684.
Silva, A., Dias, J. L. R., Gaspar, P. L., and de Brito, J. (2011b). “Service life prediction models for exterior stone cladding.” Build. Res. Inf., 39(6), 637–653.
Silva, A., Dias, J. L. R., Gaspar, P. L., and de Brito, J. (2013b). “Statistical models applied to service life prediction of rendered façades.” Autom. Constr., 30, 151–160.
Silva, A., Gaspar, P. L., and de Brito, J. (2014). “Durability of current renderings: A probabilistic analysis.” Autom. Constr., 44, 92–102.
Spanish Technical Building Code. (2007). “Industry ministry—Institute of energy savings and diversification (IDAE).” Spain.
SPSS [Computer software]. IBM, Armonk, NY.
Vieira, S. M., Silva, A., Sousa, J. M. C., de Brito, J., and Gaspar, P. L. (2015). “Modelling the service life of rendered facades using fuzzy systems.” Autom. Constr., 51, 1–7.
Warke, P. A., Curran, J. M., Turkington, A. V., and Smith, B. J. (2003). “Condition assessment for buildings stone conservation: A staging system approach.” Build. Environ., 38(9–10), 1113–1123.
Weber, S. (1983). “A general concept of fuzzy connectives, negations and implications based on t-norms.” Fuzzy Sets Syst., 11(1–3), 115–134.
Witten, I. H., and Frank, E. (2005). Data mining: Practical machine learning tools and techniques, 2nd Ed., Morgan Kaufman, Boston.
Xfuzzy 3.0 [Computer software]. CNM-Centro Nacional de Microelectrónica y IMSE-Instituto de Microelectrónica de Sevilla, Seville, Spain.
Zadeh, L. A. (1965). “Fuzzy sets.” Inf. Comput., 8(3), 338–353.
Zadeh, L. A. (1973). “Outline of a new approach to analysis of complex systems and decision processes.” IEEE Trans. Syst. Man Cybern., SMC-3(1), 28–44.
Zhang, X., and Gao, H. (2011). “Determining an optimal maintenance period for infrastructure systems.” Comput. Aided Civ. Infrastruct. Eng., 27(7), 543–554.
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© 2016 American Society of Civil Engineers.
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Received: Nov 27, 2015
Accepted: Apr 11, 2016
Published online: Jul 7, 2016
Published in print: Dec 1, 2016
Discussion open until: Dec 7, 2016
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