Investigation on visualisation of architectural design and civil engineering structural design based on artificial intelligence
This article integrates 3D visualisation and AI technologies, specifically the YOLO object detection model, into architectural and structural design to enhance project quality and efficiency. Using the BIM visualisation platform, it presents a data-driven, standardised, and shared design information model. The platform extracts 3D structural features from spatial data, offering functions like data sharing, information exchange, and linkage processing. Tests show that the predicted construction cycle matches the actual value, with a cycle ratio < 0.9 and shear weight ratio > 1.60%, meeting specifications. YOLO demonstrates the highest accuracy and lowest error margin among tested algorithms. It aids in predicting on-site construction progress, optimising structural solutions, and enhancing intelligent visualisation effects for architectural and structural design.
Authors
- Liang Xuan (ORCID: https://orcid.org/0000-0002-7901-1428)
- Hongming Pan (ORCID: https://orcid.org/0000-0001-9199-5557)
Institutions
- Chongqing Technology and Business University (CN)
- Hunan University (CN)
- Loudi Central Hospital (CN)
Publication Details
- Journal
- International Journal of Materials and Product Technology
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1504/ijmpt.2025.147082
- Primary Topic
- BIM and Construction Integration
- Type
- article
- Field-Weighted Citation Impact
- 0.00