AI-Driven Design and Generative Architecture
Integrating Parametric Modeling, BIM, and Building Performance Analysis into Augmented Reality for Architectural Design and Education
Abstract
In 2020, about 38% of annual global carbon dioxide emissions come from buildings. Energy-efficient buildings that help mitigate the effects of climate change need a novel strategy to bridge the knowledge gap between construction practitioners and the advancement in building design methodology and environmental analysis. Parameters and forms of the building envelope have a major impact on energy efficiency, and Passive design methods are the most practical and cost-effective means of thermal and energy management in buildings if designed correctly during the preliminary stages. The purpose of this research is to determine whether the current augmented reality (AR) platform can successfully show the potential and significance of parametric design, as well as present a dynamic environmental analysis from the earliest stage of architectural design. In order to enhance the form finding phase of the design process and getting architecture students and professionals aware of the potential of parametric design for design alterations and optimization. The project aims to deliver the subject matter in a clear and engaging manner by the use of AR. In the developed AR app (ParametricAR) users will be able to sense scale, volume, and context, by placing virtual objects in the physical environment. Users will be able to study and evaluate the geometric and spatial design by walking around their building virtually in 1:1 scale. The innovative combination of parametric modeling, BIM, and real-time shadow analysis that was accomplished by ParametricAR served to enhance the user experience and resulted in the production of a package that expanded the user's capacity to develop and assess building forms. ParametricAR was successful in combining parametric modeling, BIM, and shadow analysis into a seamless AR experience that is compatible with the mobile AR hardware that is widely available now.
Topics
Cite this paper
@inproceedings{c6bb21de,
author = {Alhazzaa, Kifah and Yan, Wei},
title = {Integrating Parametric Modeling, BIM, and Building Performance Analysis into Augmented Reality for Architectural Design and Education},
year = {2023},
isbn = {9781450397469},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3603421.3603431},
doi = {10.1145/3603421.3603431},
abstract = {In 2020, about 38\% of annual global carbon dioxide emissions come from buildings. Energy-efficient buildings that help mitigate the effects of climate change need a novel strategy to bridge the knowledge gap between construction practitioners and the advancement\ in building design methodology and environmental analysis. Parameters and forms of the building envelope have a major impact on energy efficiency, and Passive design methods are the most practical and cost-effective means of thermal and energy management in buildings if designed correctly during the preliminary stages. The purpose of this research is to determine whether the current augmented reality (AR) platform can successfully show the potential and significance of parametric design, as well as present a dynamic environmental analysis from the earliest stage of architectural design. In order to enhance the form finding phase of the design process and getting architecture students and professionals aware of the potential of parametric design for design alterations and optimization. The project aims to deliver the subject matter in a clear and engaging manner by the use of AR. In the developed AR app (ParametricAR) users will be able to sense scale, volume, and context, by placing virtual objects in the physical environment. Users will be able to study and evaluate the geometric and spatial design by walking around their building virtually in 1:1 scale. The innovative combination of parametric modeling, BIM, and real-time shadow analysis that was accomplished by ParametricAR served to enhance the user experience and resulted in the production of a package that expanded the user's capacity to develop and assess building forms. ParametricAR was successful in combining parametric modeling, BIM, and shadow analysis into a seamless AR experience that is compatible with the mobile AR hardware that is widely available now.},
booktitle = {Proceedings of the 2023 7th International Conference on Virtual and Augmented Reality Simulations},
pages = {68–76},
numpages = {9},
keywords = {Augmented Reality, BIM, Grid System, Parametric BIM Design, Parametric Design, Real Time Design},
location = {Sydney, Australia},
series = {ICVARS '23}
}