Modelo de predicción de la vida útil de la edificación patrimonial a partir de la lógica difusa

Macías-Bernal, J. M.; Calama-Rodriguez, Jose María; Diego, María José Chávez de

doi:10.3989/ic.12.107

Cited by 27 publications

(54 citation statements)

References 3 publications

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“…The model-fuzzy building service life extended version (FBSL 2.0 )-was initially developed by the University of Seville (Spain) [36], which considered the analysis of the functional degradation of heritage parish churches located in the context of Andalusia, South Spain. The methodology was implemented in Xfuzzy 3.0 [37], an open access software application.…”

Section: Definition Of the Fuzzy Inference Systemmentioning

confidence: 99%

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Expert Panel, Preventive Maintenance of Heritage Buildings and Fuzzy Logic System: An Application in Valdivia, Chile

Carpio

Prieto

2021

Sustainability

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The maintenance of buildings is a highly complex decision process, which is generally due to professional experts having to consider several arduous evaluations, especially regarding uncertainty related to why, when and how to intervene. This study concerns the analysis of the uncertainty associated with professional experts’ surveys during the decision-making process during building maintenance. For this purpose, a case study of a timber-structure building was examined. An expert panel of 66 professionals with expertise in construction engineering carried out a systematic and automated evaluation. This kind of digital method is capable of managing the uncertainty associated with the evaluation processes by different specialists. Experts can evaluate various nuances and approximations in the model’s input parameters. The fuzzy model helps to harmonize the results since minor variations in the evaluation of the input parameters do not generate a large dispersion over the model’s output variable. The novelty of this study concerns the application of a digital methodology based on a fuzzy logic model to assist a professional expert panel in different areas—architecture, engineering and construction. This study is oriented through an artificial intelligence based method applied by specialists to set intervention priorities, support maintenance management of the examined building and minimise human error during data collection and uncertainty related to making decisions. The lessons learned from the results obtained in this study promote the use of this kind of digital tool to manage the uncertainty associated with in-situ visual inspections.

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Section: Definition Of the Fuzzy Inference Systemmentioning

confidence: 99%

“…In this sense, a Delphi method, using Opina software (owned by the University of Seville, Spain), was used to obtain experts' survey. The experts consulted in this study presented the following profiles [36] with numerous publications on this subject [44].…”

Section: Definition Of the Fuzzy Inference Systemmentioning

confidence: 99%

Expert Panel, Preventive Maintenance of Heritage Buildings and Fuzzy Logic System: An Application in Valdivia, Chile

Carpio

Prieto

2021

Sustainability

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“…Nevertheless, this planning tool worked from the macrozoning perspective, not from the detail of the microzoning, which represented a key factor in the correct diagnosis. It should be noted that the Charter did not address the notion of vulnerability [15].…”

Section: Introductionmentioning

confidence: 99%

“…Other research has focused on the development of methodologies based on the use of artificial intelligence, creating models for predicting the useful life of the building based on fuzzy logic, which determines and evaluates the factors that affect vulnerability and risks that affect the asset [15,31]. There are other models based on prediction methodologies supported by statistical probability data [32].…”

Section: Introductionmentioning

confidence: 99%

Pathologic and Risk Analysis of the Lojuela Castle (Granada-Spain): Methodology and Preventive Conservation for Medieval Earthen Fortifications

et al. 2020

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This study presents a methodology generated for the preventive conservation of defensive earthen architecture, applied to the case of the Lojuela Castle (Lecrin Valley, Granada, Spain). In the application of the designed protocol, a multidisciplinary analysis of its patrimonial characteristics and multidimensional evaluation was developed, applying the technique of qualitative consultation to a group of experts—the Delphi method. This methodology allowed us to relate the hazard factors and the vulnerability of the asset for each group of risks that affect it. The support of the method in with geographic information systems (GIS) has favored the production of predictive cartography and risk analysis—including the territorial dimensions and spatial interactions of the asset with the physical environment. This has facilitated the obtention of micro-zoning maps of each of the risks examined. The risk mapping in micro-zoning and the knowledge of the structure’s vulnerability represents an important contribution to the future conservation and management of this heritage. They favor strategies that minimize the incidence of risks and allow the prioritization of the conservation actions with a minimum economic investment, creating an efficient maintenance program. This will facilitate the protection, conservation and valorization decisions by the administration and the competent bodies involved in the protection of these sites.

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“…Art-Risk-1 is based on the Delphi methodology, which allows us to calculate the vulnerability index and expanded vulnerability index (Ortiz and Ortiz, 2016). Art-Risk-2 is based on fuzzy logic that allows us to calculate a building’s service life (Macías-Bernal et al , 2014; Prieto et al , 2016). An overview of both methods and their results is provided, and comparison with other diagnostic methodologies is discussed to establish the differences between vulnerability and service life.…”

Section: Introductionmentioning

confidence: 99%

Vulnerability and buildings service life applied to preventive conservation in cultural heritage

Ortiz

Macías-Bernal

Ortiz

2018

IJDRBE

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Purpose The purpose of this paper is to present research on vulnerability and service life indexes applied to cultural heritage buildings. The construction and rehabilitation industry is concerned with the maintenance of monuments and reducing the economic costs of urgent interventions by taking preventive conservation action in historic cities. By applying a vulnerability index or analyzing the service life of buildings, it is possible to reduce risk and optimize the identification, evaluation and prioritization of urgent monument restoration tasks in a city or a region to establish preventive conservation policies. Design/methodology/approach This research sets out the concepts of vulnerability and service life, focusing on their methodologies in comparison with other techniques for building diagnosis, discussing the differences between indexes that measure the vulnerability and service life of buildings. Findings The vulnerability of three churches in Seville (Spain) was studied by means of their vulnerability index, based on Delphi analysis, and the service life of these buildings was also assessed, based on artificial intelligence tools. Delphi and artificial intelligence tools allow us to compare and dovetail different scenarios and expert opinions. The degree of each monument’s conservation is defined as its vulnerability index, which is an indirect function of deterioration levels. The service life of buildings, on the other hand, includes the assessment of vulnerability and hazards. Practical implications This study is useful for stakeholders, including small and medium enterprises (SMEs) and policymakers, as an important reference on diagnosis, including updated, inexpensive and sustainable methodologies to manage the conservation of monuments, which are easy to implement in developed and developing countries. The application of vulnerability and/or service life indicators is crucial to ensuring the sustainability and improvement of maintenance carried out on cultural heritage buildings. Originality/value This study details new approaches based on artificial intelligence and Delphi analysis to prioritize preventive conservation actions in a city or region.

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Modelo de predicción de la vida útil de la edificación patrimonial a partir de la lógica difusa

Cited by 27 publications

References 3 publications

Expert Panel, Preventive Maintenance of Heritage Buildings and Fuzzy Logic System: An Application in Valdivia, Chile

Expert Panel, Preventive Maintenance of Heritage Buildings and Fuzzy Logic System: An Application in Valdivia, Chile

Pathologic and Risk Analysis of the Lojuela Castle (Granada-Spain): Methodology and Preventive Conservation for Medieval Earthen Fortifications

Vulnerability and buildings service life applied to preventive conservation in cultural heritage

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