AI in BIM and Digital Twins for Architecture: Building the Future, Preserving the Past

Authors

  • Rashmi KC Sharma Dept of Architecture, Kathmandu Engineering College, Nepal
  • Sweta Shrestha Assoc. Professor, Dept of Architecture, Kathmandu Engineering College, Nepal

DOI:

https://doi.org/10.3126/kjse.v9i1.78345

Keywords:

AI, BIM, Digital Twins, Architecture, Sustainability, Cultural Heritage

Abstract

The integration of AI with Building Information Modeling (BIM) and Digital Twin technology is reshaping the architectural landscape, bridging the gap between cutting-edge construction practices and the preservation of cultural heritage. This article explores how AI-driven BIM streamlines construction through predictive maintenance, cost optimization, and real-time project adjustments, enabling the creation of efficient, resilient, and sustainable structures. Simultaneously, digital twin technology, powered by AI, offers new avenues for historic preservation by producing data-rich, 3D models that allow for precise monitoring and virtual restoration of heritage sites. By examining real-world applications in both modern buildings and historic landmarks, this article demonstrates how AI’s role in architecture not only advances building practices but also safeguards architectural history for future generations.

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Published

2025-05-07

How to Cite

Rashmi KC Sharma, & Sweta Shrestha. (2025). AI in BIM and Digital Twins for Architecture: Building the Future, Preserving the Past. KEC Journal of Science and Engineering, 9(1), 45–51. https://doi.org/10.3126/kjse.v9i1.78345

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Section

Articles