Research applied to the field of architectural graphic expression through digital means. Reference framework and roadmap

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Accepted: 2023-09-07

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Published: 2023-10-31

DOI: https://doi.org/10.4995/vlc.2023.19787
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Keywords:

ICT-AEC (Information and Communication Technologies-Architectural, Engineering and Construction industry), Society 5.0, Industry 4.0, Research applied to Architectural Representation

Supporting agencies:

This research was not funded

Abstract:

The range of Information and Communications Technologies (ICT) that can be integrated into architectural design, and on which our applied research can focus, has expanded greatly in just 15 years, with new technologies. For all this, we face new challenges such as the integration of BIM, Big Data, Virtual Reality (VR), Collaborative Design, even Artificial Intelligence (AI). In this context we demand the exploration of border territories between architectural and ICT disciplines to broaden horizons. This proposal for analyzing the state of the art of ICT-AEC research, is based on our experience at the ETSAB-UPC, which after incorporating them naturally, has evolved from the original graphic expression with its various classic disciplines, towards a more transversal model of Digital-Urban Sketching, BIM+GIS, Parametric Design, Virtual Modeling and Visual Simulation in real time. The new horizon is to approach the simulation of the functioning of the city and buildings, thanks to multidisciplinary work in collaboration with other areas such as Architectural Technology, Civil Engineering, Geomatics, Urban Planning, Architectural Projects, in virtual environments. and interactive BIMxD+BigData+Digital Twin.

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References:

Abdelrahman, Mahmoud M., Adrian Chong, and Clayton Miller. “Personal Thermal Comfort Models Using Digital Twins: Preference Prediction with Bim-Extracted Spatial–Temporal Proximity Data from Build2vec.” Building and Environment 207 (2022): 108532. https://doi.org/10.1016/j.buildenv.2021.108532.

Araya, F. “Estado del arte del uso de BIM para la resolución de demandas en proyectos de construcción.” Revista ingeniería de construcción 34, no. 3 (2019): 299–306. https://doi.org/10.4067/s0718-50732019000300299.

Del Ama Gonzalo, Fernando, Belén Moreno Santamaría, and Juan A. Hernández Ramos “The influence of mean radiant temperature on healthy office buildings with glazed facades.” In Sustainable and Healthy Building Environments, edited by Roberto Alonso González Lezcano, 219-244. New York, Nova Science Publishers, 2023.

Dinis, Fábio Matoseiro, João Poças Martins, Ana Sofia Guimarães, and Bárbara Rangel. “Bim and Semantic Enrichment Methods and Applications: A Review of Recent Developments.” Archives of Computational Methods in Engineering 29, no. 2 (2021): 879–95. https://doi.org/10.1007/s11831-021-09595-6.

European Construction Sector Observatory. Building Information Modeling in the EU construction sector. European Commission, 2019.

European Construction Sector Observatory. Digitalization in the Construction Sector. Analitical Report. European Commission, 2021.

Hadjidemetriou, Lenos, Nearchos Stylianidis, Demetris Englezos, P. Papadopoulos, Demetrios Eliades, Stelios Timotheou, Marios M. Polycarpou, and Christos Panayiotou. “A Digital Twin Architecture for Real-Time and Offline High Granularity Analysis in Smart Buildings.” Sustainable Cities and Society 98 (2023): 104795. https://doi.org/10.1016/j.scs.2023.104795.

Koushan, K., Marzouk, M., and Bouchlaghem, N. “Building information modeling and energy performance simulation: An integrated approach to evaluate building energy performance.” Energy and Buildings, no. 242 (2021). The Report of the Cabinet Office of the Government of Japan. (ARI 10/2019 - 1/25/2019).

Yoon, Sungmin. “Virtual Sensing in Intelligent Buildings and Digitalization.” Automation in Construction 143 (2022): 104578. https://doi.org/10.1016/j.autcon.2022.104578.

Zheng, Peijun, Heng Zhou, Jiang Liu, and Yosuke Nakanishi. “Interpretable Building Energy Consumption Forecasting Using Spectral Clustering Algorithm and Temporal Fusion Transformers Architecture.” Applied Energy 349 (2023): 121607. https://doi.org/10.1016/j.apenergy.2023.121607.

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