Browsing by Author "Prieto Ibáñez, Andrés José"

Now showing 1 - 4 of 4
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    An Approach Concerning Climate Change and Timber Building Resilience: Araucanía Region, South Chile
    (MDPI, 2021) Prieto Ibáñez, Andrés José; Verichev, Konstantin; Ferreira, Ana da Silva
    This study analysed climate change effects concerning the resilience of timber buildings located in southern Chile, specifically in two cities: Collipulli and Temuco (Araucanía Region). A digital fuzzy logic method was used in a set of timber buildings declared as heritage conservation buildings by Chilean Government standards. The outcomes revealed that climate change impacts did not substantially alter the functional performance of the set of heritage timber buildings examined. This study’s results can assist in developing upcoming strategies or recommendations that can support adaptation policies for administering architectural heritage regarding climate change forecasts. These data will invaluably help stakeholders who support the conservation of timber structures located in the southern environment of Chile and under the changing climatic hazard
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    BIM and procurement data integration in industrialized construction using artificial intelligence
    (2024) Pino Álvarez, Thomas Enrique; Barkokebas, Beda; Prieto Ibáñez, Andrés José; Costa, Dayana Bastos
    Industrialized construction (IC) has experienced significant achievements in the development of innovative construction methods in response to the demands of the construction industry. In this context, building information modeling (BIM) integrates and manages data throughout prefabrication phases (design, bid, and procurement) within an IC project. However, manual tasks such as data transfer between BIM models and enterprise resource planning (ERP) systems result in delays and errors due to the constant change of versions and large data flow between the involved parties. This research proposes the implementation of a novel method based on artificial intelligence (AI) to integrate the required information contained in elements in the BIM model with construction materials databases normally managed by ERP systems to procure and purchase materials in IC enterprises. Using a case study approach, this research presents a workflow with the proposed method whereas the results show that 81.57% of the elements were successfully identified, leading to a 63.47% reduction in the time compared to the manual assignment approach. Despite classifying a considerable percentage of the elements, it was identified that the implemented workflow depends on manual-dependent tasks during the design phase, such as modeling methodologies. This research contributes by providing new methods to improve IC projects and is expected to contribute to future research related to AI-based.
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    Heritage, resilience and climate change : A fuzzy logic application in timber-framed masonry buildings in Valparaiso, Chile
    (2020) Prieto Ibáñez, Andrés José; Verichev, K.; Carpio Martínez, Manuel
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    Inyección pasiva + filtrado vegetal: estrategias adaptativas según concentración de contaminantes urbanos para la renovación de edificios en Santiago
    (2025) Palacio Uribe, Mariana Andrea; Vásquez Alarcón, Catalina; Prieto Ibáñez, Andrés José; Pontificia Universidad Católica de Chile. Escuela de Arquitectura
    Esta investigación evalúa el desempeño de sistemas pasivos de ventilación y filtrado vegetal en fachadas para mejorar la calidad del aire interior en edificaciones ubicadas en entornos urbanos altamente contaminados, tomando como caso de estudio el Edificio Parque Sur en Santiago de Chile. La metodología se estructura en cuatro etapas: (1) diagnóstico del caso real y su entorno, (2) modelación paramétrica del filtro vegetal basado en Hedera helix, (3) comparación entre inyección directa de aire y aire filtrado, y (4) exploración de configuraciones híbridas que combinan filtros vegetales con torres de viento y chimeneas solares. Se emplearon simulaciones numéricas con Grasshopper, Rhino y Revit, considerando variables climáticas, geometría de la torre de viento, características del filtro vegetal y distribución interior del recinto. Los resultados evidencian que los filtros vegetales pueden reducir hasta un 51 % de PM10 y PM2.5 bajo condiciones 100% de densidad y 4m de espesor, aunque presentan limitaciones en la tasa de renovación de aire (ACH) debido a la resistencia al flujo. En contraste, las torres de viento combinadas con chimeneas solares alcanzan hasta 10 ACH, garantizando altos niveles de ventilación, pero sin asegurar la calidad del aire por sí solas. La integración de ambos sistemas configura un dispositivo híbrido que optimiza ventilación, filtración y control térmico, modulable según orientación, altura y estación del año. Este enfoque proyectual integral redefine la fachada como un sistema capaz de responder a las condiciones dinámicas del entorno urbano y climático, aportando al confort, salubridad y resiliencia frente a la crisis climática actual.