The Intersection of Facade Engineering and Building Information Modeling: Opportunities and Challenges

Authors

  • Arkar Htet Engineering and Built Environment https://orcid.org/0000-0003-1301-3604
  • Dr. Sui Reng Liana Business and Accounting
  • Theingi Aung Business and Accounting
  • Dr. Amiya Bhaumik Business and Accounting

DOI:

https://doi.org/10.56556/jtie.v2i3.643

Keywords:

Facade Engineering, Building Information Modeling (BIM), Facade Design, Facade Detailing, Facade Fabrication

Abstract

Building Information Modeling (BIM) represents a transformative advancement in the architecture, engineering, and construction (AEC) sector, especially in the specialized field of facade engineering. Utilizing a secondary data analysis approach focused on existing case studies, this paper offers a comprehensive examination of the synergistic interaction between BIM and emerging technologies such as generative design, machine learning, performance analysis tools, digital twins, and augmented reality. These technologies are analyzed to understand their impact on the optimization of facade design, detailing, fabrication, as well as long-term maintenance and performance. The study aims to provide a nuanced understanding of the current trends, challenges, and solutions associated with this technological amalgamation. The insights gleaned are invaluable for professionals in the AEC industry, pointing toward an increasingly digitized future where enhanced efficiency, sustainability, and functional efficacy are achievable in building facade engineering.

Author Biography

Arkar Htet, Engineering and Built Environment

 

 

Downloads

Published

2023-09-27

How to Cite

Htet, A., Liana, S. R., Aung, T., & Bhaumik, A. (2023). The Intersection of Facade Engineering and Building Information Modeling: Opportunities and Challenges. Journal of Technology Innovations and Energy, 2(3), 94–110. https://doi.org/10.56556/jtie.v2i3.643

Issue

Section

Review Articles

Similar Articles

1 2 3 4 > >> 

You may also start an advanced similarity search for this article.