journal article·2025

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

Xuan Liang, Hezhe Pan

Publisher page

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.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: BIM and Construction Integration

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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