Title: Investigation on visualisation of architectural design and civil engineering structural design based on artificial intelligence

Authors: Xuan Liang; Hezhe Pan

Addresses: Art College, Chongqing Technology and Business University, Chongqing 400067, China; School of Design, Hunan University, Changsha 410082, Hunan, China ' Loudi Vocational and Technical College, Loudi 417000, Hunan, China

Abstract: 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.

Keywords: architectural design; structural design; model visualisation; building information modelling; BIM; YOLO target detection; smart building.

DOI: 10.1504/IJMPT.2025.147082

International Journal of Materials and Product Technology, 2025 Vol.70 No.1, pp.43 - 59

Received: 12 Jul 2024
Accepted: 16 Jan 2025
Published online: 10 Jul 2025 *

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