Fuzzy Modeling of the Functional Service Life of Architectural Heritage Buildings
Publication: Journal of Performance of Constructed Facilities
Volume 31, Issue 5
Abstract
This paper addresses maintenance planning in heritage buildings. Currently, social, economic, and environmental factors raise concerns about the durability and service life of buildings. This study on the service life of historical buildings in terms of functionality presents a complex analysis that has yet to be developed in great depth. In this sense, a new expert system based on fuzzy logic for the prognosis of the functional service life of buildings is established. The system developed intends to manage vulnerabilities and risk variables that affect a building’s performance. These parameters are involved in the building management and maintenance process and indicate durability in terms of serviceability as an output model parameter. The aim of this paper is to describe a new application of a fuzzy inference system based on expert knowledge. This approach discusses the serviceability of architectural heritage buildings using a Mamdani fuzzy model. In this methodology, the vulnerability and risk condition of nine theoretical case studies and five real buildings located in southern Spain are analyzed. In this case study, the application model is shown in a set of a five heritage buildings situated in southern Europe (Andalusia, Spain), which were only analyzed through in situ visual inspections. This system is able to give priorities relating to preventive conservation activities in homogeneous groups of heritage buildings. The approach gives useful information based on a functional criterion regarding the current state of the buildings. The fuzzy model aims to be an indicator for the future evolution of a building’s functionality.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The authors gratefully acknowledge the support of Ph.D. Santiago Sánchez Solano Seville Institute of Microelectronics and National Microelectronics Centre (IMSE-CNM), which belongs to the Spanish National Research Council (CSIC). This paper has been supported by and is based on the methodology developed by two Projects: RIVUPH, an Excellence Project of Junta de Andalucía (code HUM-6775), and Art-Risk, a RETOS project of Ministerio de Economía y Competitividad and Fondo Europeo de Desarrollo Regional (FEDER), [code: BIA2015-64878-R (MINECO/FEDER, UE)].
References
Aikivouri, A. M. (1999). Critical loss of performance—What fails before durability, M. A. Lacasse and D. J. Vanier, eds., NRC Research Press, Ottawa.
Alcalá, R., Casillas, J., Cordón, O., González, A., and Herrera, F. (2005). “A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems.” Eng. Appl. Artif. Intell., 18(3), 279–296.
Babuška, R. (1998). Fuzzy modelling for control, Kluwer Academic Publishers, Boston.
Cebron Lipovec, N., and Van Balen, K. (2008). “Preventive conservation and maintenance of architectural heritage as means of preservation of the spirit of place.” 16th ICOMOS General Assembly and Int. Symp.: Finding the Spirit of Place—Between the Tangible and the Intangible, UNESCO, Paris.
Chai, C., De Brito, J., Gaspar, P. L., and Silva, A. (2015). “Statistical modelling of the eservice life prediction of painted surfaces.” Int. J. Strategic Property Manage, 19(2), 173–185.
CTE (Código Técnico de Edificación). (2007). “Spanish technical building code.” Industry Ministry—Institute of Energy Savings and Diversification, Madrid, Spain (in Spanish).
Dann, N., and Wood, S. (2004). “Tensions and omissions in maintenance management advice for historic buildings.” Struct. Survey, 22(3), 138–147.
de la Edificación, L. D. O., de la Edificacion, R. B., and Garantias, R. Y. (2001). “Ley 38/1999, de 5 de noviembre, de Ordenación de la Edificación.” Modificada por la Ley, Spain (in Spanish).
European Commission. (2000). “Protection, conservation and enhancement of cultural heritage: Opportunities for European enterprises.” Proc., 4th European Commission Conf., Ministry of Culture and Communication, Paris.
Flourentzou, F., Brandt, E., and Wetzel, C. (1999). “MEDIC—A method for predicting residual service life and refurbishment investment budgets.” 8th DBMC, Int. Conf. on the Durability of Building Materials and Components, National Research Council Canada, Ottawa, 1280–1288.
Galbusera, M. M., De Brito, J., and Silva, A. (2014). “The importance of the quality of sampling in service life prediction.” Constr. Build. Mater., 66, 19–29.
Gonzales-Vega, D. J., Pamplona, D. A., and Oliveira, A. V. M. (2016). “Assessing the influence of the scale of operations on maintenance costs in the airline industry.” J. Transp. Lit., 10(3), 10–14.
Haapio, A., and Viitaniemi, P. (2008). “How workmanship should be taken into account in service life planning.” 11th DBMC Int. Conf. on Durability of Building Materials and Components, Istanbul Technical Univ., Istanbul, Turkey.
Hallberg, D. (2009). “System for predictive life cycle management of buildings and infrastructures.” Ph.D. thesis, KTH Research School—HIG, Univ. of Gävle, Gävle, Sweden.
ICOMOS (International Council on Monuments and Sites). (1987). “The Burra charter.” Australia.
Ilgin, M., and Tunali, S. (2007). “Joint optimization of spare parts inventory and maintenance policies using genetic algorithms.” Int. J. Adv. Manuf. Technol., 34(5–6), 594–604.
IMSE-CNM (Instituto de Microelectrónica de Sevilla). (2012). “Herramientas de CAD para lógica difusa.” ⟨http://www2.imse-cnm.csic.es/Xfuzzy/Xfuzzy_3.3/index.html⟩ (Dec. 22, 2012).
Ipekoglu, B. (2006). “An architectural evaluation method for conservation of traditional dwellings.” Build. Environ., 41(3), 386–394.
ISO. (2009). “Risk management—Principles and guidelines.” ISO 31000, Geneva.
ISO. (2011). “Buildings and constructed assets—Service life planning. Part 1: General principles and framework.” ISO 15686-1, Geneva.
ISO. (2014). “Building construction—Service life planning. Part 4: Service life planning using building information modeling.” ISO 15686-4, Geneva.
Jager, R., Verbrugen, H. B., and Bruhx, P. M. (1993). “The role of defuzzification methods in the application of fuzzy logic.” Proc., Symp. on Intelligent Components and Instruments for Control Applications, Pergamon Press, Oxford, U.K.
Jamshidi, A., Yazdani-Chamzini, S. H., Yakhchali, A., and Khaleghi, S. (2013). “Developing a new fuzzy inference for pipeline risk assessment.” J. Loss Prev. Process Ind., 26(1), 197–208.
Law on Construction Planning. (2007). “RehabiMed method, traditional mediterranean architecture. II: Rehabilitation buildings.” RMSU Euromed Heritage, Brussels, Belgium.
Liu, M., and Frangopol, D. M. (2005). “Multiobjective maintenance planning optimization for deteriorating bridges considering condition, safety, and life-cycle cost.” J. Struct. Eng., 131(5), 833–842.
Löfsten, H. (2000). “Measuring maintenance performance-in search for a maintenance productivity index.” Int. J. Prod. Econ., 63(1), 47–58.
Long, A. E., Henderson, G. D., and Montgomery, F. R. (2001). “Why assess the properties of near- surface concrete?” Constr. Build. Mater., 15(2–3), 65–79.
Macías-Bernal, J. M., Calama, J. M., and Chávez, M. J. (2014). “Prediction model of the useful life of a heritage building from fuzzy logic.” Informes de la Constr., 66(533), 1–11.
Mamdani, E. H., and Assilian, S. (1975). “An experiment in linguistic synthesis with a fuzzy logic controller.” Int. J. Man-Mach. Stud., 7(1), 1–13.
Marteinsson, B. (2005). “Service life estimations in the design of buildings-a development of the factor method.” Ph.D. thesis, KTH Research School—HIG, Univ. of Gävle, Gävle, Sweden.
Möller, B., and Reuter, U. (2008). “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.
Okasha, N. M., and Frangopol, D. M. (2009). “Lifetime-oriented multi-objective optimization of structural maintenance considering system reliability, redundancy and life-cycle cost using GA.” Struct. Saf., 31(6), 460–474.
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. (2014). “Approach to environmental risk analysis for the main monuments in a historical city.” J. Cult. Heritage, 15(4), 432–440.
Ortiz, R., and Ortiz, P. (2016). “Vulnerability index: A new approach for preventive conservation of monuments.” Int. J. Archit. Heritage, Conserv., Anal., Restor., 10(8), 1078–1100.
Palacio, P. N., Martín, F. B., and Fernández-Posse, M. D. (2002). “El plan nacional de catedrales.” Bienes culturales: revista del Instituto del Patrimonio Histórico Español, Madrid, Spain (in Spanish), 9–32.
Pintelon, L., and Van Puyvelde, F. (2006). “Maintenance decision-making.” Acco, Leuven, Belgium.
Prieto, A. J., Macías-Bernal, J. M., Chávez, M. J., and Alejandre, F. J. (2015). “Expert system for predicting buildings service life under ISO 31000 standard.” J. Cult. Heritage, 18, 209–218.
Prieto, A. J., Silva, A., de Brito, J., and Alejandre, F. J. (2016). “Functional and physical service life of natural stone claddings.” J. Mater. Civ. Eng., .
Ross, T. J. (2010). Fuzzy logic with engineering applications, Wiley, Hoboken, NJ.
Sadegui, N., Fayek, A. R., and Seresht, N. G. (2015). “Queue performance measures in construction simulation models containing subjective uncertainty.” Autom. Constr., 60, 1–11.
Shohet, I. M., and Paciuk, M. (2006). “Service life prediction of exterior cladding components under failure conditions.” Constr. Manage. Econ., 24(2), 131–148.
Silva, A., Neves, L. C., Gaspar, P. L., and De Brito, J. (2015). “Probabilistic transition of condition: Render facades.” Build. Res. Inf., 44(3), 301–318.
Silva, A., Vieira, S. M, de Brito, J., and Gaspar, P. L. (2016). “Fuzzy systems in service life prediction of external natural stone claddings.” J. Perform. Constr. Facil., .
Silvestre, J., Silva, A., and De Brito, J. (2015). “Uncertainty modelling of service life and environmental performance to reduce risk in building design decisions.” J. Civ. Eng. Manage., 21(3), 308–322.
Talon, A., Boissier, D., Chevalier, J.-L., and Hans, J. (2005). “Temporal quantification method of degradation scenarios based on FMEA.” 10th Int. Conf. on Durability of Building Materials and Components, Lyon, France, International Council for Research and Innovation in Building and Construction, Delft, Netherlands.
Thomsen, A., and Van der Flier, K. (2011). “Understanding obsolescence: A conceptual model for buildings.” Build. Res. Inf., 39(4), 352–362.
UNE (Una Norma Española). (2009). “AENOR, Norma UNE 41805 Diagnóstico de edificios.”, Madrid, Spain (in Spanish).
Van Horenbeek, A., Pintelon, L., and Muchiri, P. (2010). “Maintenance optimization models and criteria.” Int. J. Syst. Assur. Eng. Manage., 1(3), 189–200.
Vicente, R., Ferreira, T. M., Mendes da Silva, J. A. R. (2015). “Supporting urban regeneration and building refurbishment, strategies for building appraisal and inspection of old building stock in city centres.” J. Cult. Heritage, 16(1), 1–14.
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.
Vieira, S. M., Sousa, J. M. C., and Durão, F. O. (2005). “Fuzzy modeling of a column flotation process.” Miner. Eng., 18(7), 725–729.
Watt, D. S. (1999). Building pathology: Principles and practice, Blackwell Science, Oxford, U.K.
Weber, S. (1983). “A general concept of fuzzy connectives, negations and implications based on t-norms.” Fuzzy Sets Syst., 11(1–3), 115–134.
Xfuzzy 3.0 [Computer software]. CNM-Centro Nacional de Microelectrónica y IMSE-Instituto de Microelectrónica de Sevilla, Seville, Spain.
Zadeh, L. (1965). “Fuzzy sets.” Inf. Comput., 8(3), 338–353.
Zeng, J., An, M., and Smith, N. J. (2007). “Application of a fuzzy based decision-making methodology to construction project risk assessment.” Int. J. Project Manage., 25(6), 589–600.
Information & Authors
Information
Published In
Journal of Performance of Constructed Facilities
Volume 31 • Issue 5 • October 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Jun 29, 2016
Accepted: Dec 2, 2016
Published online: Mar 14, 2017
Discussion open until: Aug 14, 2017
Published in print: Oct 1, 2017
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.