Browsing by Author "Torres-Gonzalez, M."

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    Digital management focused on the preventive maintenance of World Heritage Sites
    (2021) Torres-Gonzalez, M.; Prieto, A. J.; Alejandre, F. J.; Blasco-Lopez, F. J.
    The digital management of heritage buildings is a new disruptive technology in the design and implementation of effective preventive preservation strategies and programmes that can manage data from such buildings and the knowledge of professional experts in the area. At heritage sites, preventive conservation requires multidisciplinary knowledge of historical heritage diagnosis; therefore, professional experts' assessments are essential. This paper presents the application of an innovative fuzzy inference system that can quantify the vulnerabilities and risks that face World Heritage Sites, as well as their functional service life. This work can help stakeholders develop innovative procedures and improve mitigation strategies, such as preventive maintenance programmes and future control systems for maximising the resilience of specific heritage complexes. To validate this innovative approach, one of the most iconic heritage buildings was used as a case study: the Royal Alc acute accent azar of Seville, Spain.
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    Machine-Learning Algorithms in the Service Life Prediction of Facility Management: Approach in Southern Chile
    (2024) Mendoza, M.; Torres-Gonzalez, M.; Prieto, A. J.
    Concerning preventive maintenance plans for heritage timber buildings, computational methods are pioneering knowledge for the implementation of new preservation approaches in heritage structure management. In this context, fuzzy logic and random forest methodologies manage both data obtained from professional experts and data obtained in situ from the buildings themselves. This kind of digital procedure can harmonize the outcomes of building assessments because slight variations in the evaluation of input parameters do not produce a significant dispersion over the model's output. Preventive conservation strategies require cooperation among qualified experts who examine multidisciplinary knowledge related to heritage properties. Thus, new digital protocols and procedures that help decision makers prioritize preventive interventions and avoid corrective actions are paramount in minimizing the irreparable loss of properties. The main aim of this research is a new approach to two computational management systems: fuzzy logic and random forest. The outcomes of this study will be useful to stakeholders who are responsible for the maintenance of heritage buildings, as this methodology reduces the probability of failure and uncertainty during decision-making. The instruments derived will establish mitigation strategies oriented toward proactive future maintenance programs for heritage timber buildings in southern Chile.