Expert system for predicting buildings service life under ISO 31000 standard. Application in architectural heritage

Abstract The expert system for predicting the service life of buildings, fuzzy buildings service life (FBSL), is a computer application that contributes to the preventive conservation of architectural heritage. It establishes the process for evaluating and analysing the vulnerability and the main risks for heritage buildings, managing durability and service life according to their functionality. This paper demonstrates, after a detailed study and analysis of the two main reference standards in the field of risk management, namely the international standard ISO 31000:2009 and the European standard EN 31010:2011, that the FBSL expert system has been developed in compliance with the specifications established in these standards. This research justifies the use of this method, based on a new expert system that predicts the future service life of homogeneous heritage sites worldwide. This model manages the risk affecting these buildings and also complies with the aforementioned standards. Finally, the practical application of the FBSL expert prediction system was carried out through the study of a specific architectural heritage site.

[1]  Terje Aven,et al.  Review and discussion of basic concepts and principles in integrated risk management , 2009 .

[2]  Olivier Deck,et al.  Development of a damage simulator for the probabilistic assessment of building vulnerability in subsidence areas , 2015 .

[3]  Christoph Ament,et al.  Robust fuzzy decision support system for manual room ventilations in preventive conservation , 2012, 2012 6th IEEE International Conference Intelligent Systems.

[4]  Emilio Galán Huertos,et al.  La Aplicación de la Evaluación de Impacto Ambiental en el Patrimonio Monumental y el Desarrollo Sostenible de las Ciudades , 2006 .

[5]  Larry W. Masters,et al.  Prediction of service life of building materials and components , 1986 .

[6]  Mário Caetano,et al.  Assessment of the state of conservation of buildings through roof mapping using very high spatial resolution images , 2009 .

[7]  Joao M. C. Sousa,et al.  Modelling the service life of rendered facades using fuzzy systems , 2015 .

[8]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[9]  Thomas Glade,et al.  Quantification of model uncertainty in debris flow vulnerability assessment , 2014 .

[10]  Rocío Ortiz,et al.  Approach to environmental risk analysis for the main monuments in a historical city , 2014 .

[11]  A. Silva,et al.  Application of the factor method to maintenance decision support for stone cladding , 2012 .

[12]  Seung-Yong Ok,et al.  Modal-space reference-model-tracking fuzzy control of earthquake excited structures , 2015 .

[13]  Björn Marteinsson.  Durability and the factor method of ISO 15686-1 , 2003 .

[14]  Ebrahim H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Hum. Comput. Stud..

[15]  Francisco Herrera,et al.  A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems , 2005, Eng. Appl. Artif. Intell..

[16]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[17]  Igal M. Shohet,et al.  Service life prediction of exterior cladding components under failure conditions , 2004 .

[18]  Terje Aven,et al.  On the new ISO guide on risk management terminology , 2011, Reliab. Eng. Syst. Saf..

[19]  Didier Dubois,et al.  Representation, Propagation, and Decision Issues in Risk Analysis Under Incomplete Probabilistic Information , 2010, Risk analysis : an official publication of the Society for Risk Analysis.

[20]  adm.  Código Técnico de la Edificación , 2013 .

[21]  Matthew Leitch,et al.  ISO 31000:2009—The New International Standard on Risk Management , 2010, Risk analysis : an official publication of the Society for Risk Analysis.

[22]  Giancarlo Marcari,et al.  Structural analysis of the Caserta Royal Palace timber roof connections , 2008 .

[23]  Guohua Shi,et al.  Developing a fuzzy analytic hierarchical process model for building energy conservation assessment , 2010 .

[24]  Juan Monjo Carrió,et al.  Durabilidad vs Vulnerabilidad , 2007 .

[25]  Grant Purdy,et al.  ISO 31000:2009—Setting a New Standard for Risk Management , 2010, Risk analysis : an official publication of the Society for Risk Analysis.

[26]  Siamak Haji Yakhchali,et al.  Developing a new fuzzy inference system for pipeline risk assessment , 2013 .

[27]  J. M. Macías-Bernal,et al.  Modelo de predicción de la vida útil de la edificación patrimonial a partir de la lógica difusa , 2014 .

[28]  Fernando A. Branco,et al.  Using Orthophotography Based on BuildingsLife Software to Inspect Building Facades , 2014 .

[29]  F. J. Blasco-López,et al.  Porosity and surface hardness as indicators of the state of conservation of Mudéjar plasterwork in the Real Alcázar in Seville , 2013 .

[30]  José Ramón Azpiazu Ordóñez.  La escultura integrada en los espacios arquitectónicos , 1976 .