THE APPLICATION AND IMPACT OF MACHINE LEARNING (ML) TO BIM IN THE
CONSTRUCTION INDUSTRY: THE IDEATION OF ML–BASED BIM SOLUTIONS TO
ENHANCE THE BENEFITS OF BIM
KIM NAHYUN
KIM NAHYUN
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Abstract
The study aims to investigate the probable application and impact of Machine Learning (ML) to Building Information Modelling (BIM) in the existing construction industry through the formulation of ML-based BIM solutions to expand the advantages of BIM. An in-depth study has been done to understand the background of BIM in the existing built environment, as well as the nature of Machine Learning and Artificial Intelligence (AI) technology, followed by the current adoption of such technology in the building industry to this date. This study has focuses on providing potential ML-based construction suggestions that could possibly aid the construction industry via aiding the benefits of BIM, through qualitative research. Literature reviews and research are done to analyse the gaps and possible rooms for improvement, as well as to gain insights in synthesizing possible solutions. Interviews are conducted to validate and to obtain opinions from an expert point of view in order to bring together the concepts of BIM and ML in a holistic manner. Finally, this research provides some recommendations for future research, which could possibly be the source of insights in both the construction and the AI industry.
Keywords
BIM, Machine Learning, Artificial Intelligence
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Date
2022
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Dissertation