Expert panel, preventive maintenance of heritage buildings and fuzzy logic system: An application in valdivia, Chile
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...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Consejo General de la Arquitectura Técnica de España (CGATE) |
| Repositorio: | RIARTE |
| OAI Identifier: | oai:www.riarte.es:20.500.12251/2571 |
| Acceso en línea: | http://hdl.handle.net/20.500.12251/2571 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109047118&doi=10.3390%2fsu13126922&partnerID=40&md5=2c6106ff0a749774c82018c8658f36e7 |
| Access Level: | acceso abierto |
| Palabra clave: | Lógica difusa Inspección de edificios Mantenimiento preventivo Chile Estructura de madera Inteligencia Artificial 3310.04 Ingeniería de Mantenimiento 1203.04 Inteligencia Artificial 1102.08 Lógica Matemática 3305.14 Viviendas |
| Sumario: | 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. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. |
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