Browsing by Author "Prieto, A. J."

Now showing 1 - 8 of 8
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    ART-RISK 3.0 a fuzzy-based platform that combine GIS and expert assessments for conservation strategies in cultural heritage
    (2022) Moreno, M.; Ortiz, R.; Cagigas-Muniz, D.; Becerra, J.; Martin, J. M.; Prieto, A. J.; Garrido-Vizuete, M. A.; Macias-Bernal, J. M.; Chavez, M. J.; Ortiz, P.
    Heritage preservation poses numerous difficulties, especially in emergency situations or during budget cuts. In these contexts, having tools that facilitate efficient and rapid management of hazards-vulnerabilities is a priority for the preventive conservation and triage of cultural assets.
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    Digital fuzzy control system for monitoring environmental conditions and technical suitability of shelters at archaeological sites
    (2022) Cabello-Briones, C.; Verichev, K.; Prieto, A. J.
    Exposed sites are highly vulnerable to decay, and shelters have been proposed as preventive conservation measures systematically. However, they need to be evaluated periodically as they may introduce new decay factors into the sites or provide an insufficient level of protection. Nonetheless, there is a lack of tools to help site managers make the complex decision of sheltering. Artificial intelligence systems can model information with a degree of uncertainty and are associated with material degradation processes and risky external hazards subjected to seasonality. This method has allowed a systematic assessment of the shelters at the Complutum archaeological site (Spain). The system has been applied twice a day during the summer, autumn, winter and spring seasons, taking into consideration atmospheric and en-vironmental input variables and vulnerabilities in the shelter design and management. By providing the model predictions, specific preventive conservation measures could be taken in advance to avoid further damage or failures.(c) 2022 Elsevier Masson SAS. All rights reserved.
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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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    Digital Management System in Heritage Timber Buildings: A Detailed Application in Purranque, Chile
    (2022) Prieto, A. J.; Saelzer, G.; Palma, D.; Riveros, M.
    Artificial intelligence systems based on fuzzy logic models can manage both data obtained in situ from the buildings and that obtained from the knowledge base of professional experts. These kinds of digital methods can optimize resources and manage the uncertainty associated with the evaluation processes conducted by one or even different professional experts. Digital management systems that focus on preservation strategies help harmonize the results, as slight variations in the evaluation process of input variables do not generate a significant dispersion over the model's output variable. The preventive conservation of heritage buildings requires cooperative efforts in terms of the definition of heritage value and in the establishment of future preservation strategies, where qualified experts' opinions are key to examining multidisciplinary knowledge. In this respect, the incorporation of new protocols, which can help decision makers prioritize interventions and avoid restoration actions that are unnecessarily invasive or might cause irreparable loss of the properties, is urgently needed. The aim of this study concerns the analysis of the heritage value of the Mutizaval House emplaced in Purranque (South Chile) and a detailed examination of the functional degradation condition regarding each space of the whole building. The application of the fuzzy logic model revealed that 13 spaces out of 22 were ranked Condition C. Therefore, the methodology recommended monitoring the building's state of conservation and implementing a preventive maintenance action within no more than five years to preserve the building's features in a reasonably good state of functional condition. This kind of new digital management tool can be useful to stakeholders who are responsible for the establishment of preventive maintenance programs for heritage buildings in Chile.
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    Fuzzy Inference System for Predicting Functional Service Life of Concrete Pavements in Airports
    (2022) Prieto, A. J.; Guinez, F.; Ortiz, M.; Gonzalez, M.
    Concerning one of the most important tasks of road structure management is the development of methods to predict their own functional or physical service life, which allows for objectively evaluating the state of road structures that are being considered or are already in operation with minimal labor and monetary incomes. Fuzzy logic systems constitute one successful methodology used for the valuation of pavement degradation. The clustering that focuses on pavement degradation conditions is normally performed by a visual inspection or using data collected by automated distress measurement equipment. Fuzzy sets theory provides different advantages for including a certain degree of uncertainty in the pavement performance index, subjective analysis, and maintenance assessments and can greatly improve consistency and reduce subjectivity in the degradation process. The main objective of this study was to develop a new fuzzy logic-based model to predict the functional service life of concrete pavement conditions and maintenance action evaluations concerning the airport network of Vina del Mar, Central Chile, and using pavement distress data from the Directorate of Airports, Ministry of Public Works of Chile. The proposed fuzzy logic model can be remarkably beneficial for design, construction, and maintenance, to evaluate design decisions for the measurable and objective valuation of deviations in the quality of construction, and for timely forecasting work based on continuous observing of the current infrastructure system.
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    Fuzzy systems in the digital management of heritage timber buildings in South Chile
    (2021) Prieto, A. J.
    In the protection of heritage buildings, computational models are an innovative technology for the implementation of effective preservation strategies. These models can manage both data obtained from the buildings and data from the knowledge base of professional experts. The preventive conservation of heritage buildings requires cooperative efforts, where the professional experts' opinions are paramount, to analyse multidisciplinary knowledge. In this respect, the incorporation of new protocols, which can help decision makers prioritize interventions and avoid restoration actions that are unnecessarily invasive or might cause irreparable loss of the properties, is urgently needed. The aim of this study is to establish a new approach concerning a digital management system that is based on artificial intelligence (fuzzy logic). Application of the model reveals that the sample (42 buildings) was classified into two vulnerability conditions: (i) medium-level affections and (ii) high-level vulnerability affections. The results obtained in this study will be useful to stakeholders who are responsible for the maintenance of heritage buildings, since this methodology allows reducing their probability of failure. This new digital management tool will help in the establishment of possible mitigation strategies that are focused on preventive future maintenance programmes of a set of heritage buildings in South Chile.
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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.
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    Resilience and sustainability assessment of cultural heritage and built environment: The Libertad pedestrian walkway in Valdivia, Chile
    (2022) Pizarro-Reyes, L.; Diaz-Lazcano, V; Zumelzu, A.; Prieto, A. J.
    According to the latest United Nations report, 68% of the world's population will live in cities by 2050, especially in developing countries in the Global South. New challenges are emerging in urban studies, which need to move towards; The drive to develop new methodologies for analysing the sustainability and resilience of the built environment is becoming increasingly urgent, especially in the intermediate cities of southern Chile, where the latest evidence has shown that major spatial transformations have directly affected the urban lives of their inhabitants. The objectives of this study are related to: (i) evaluating the sustainability and functional states of existing buildings in a specific sector of the historic Valdivia city centre (in the capital of the Los Rios region)-specifically the Libertad pedestrian walkway; (ii) identifying key parameters for diagnosing the degree of sustainability; and (iii) proposing an intervention strategy for this specific location in one of the oldest cities in southern Chile using three fundamental design conditions: environmental, public space, and urban block. This kind of integral approach can help develop innovative procedures and improve mitigation strategies-such as preventive maintenance programmes and future control systems for maximising the resilience of a specific local context-in cultural heritage buildings, as well as in their surrounding and built environments. (c) 2021 Elsevier Masson SAS. All rights reserved.