Browse research papers in Building and Construction - Engineering Discover 3 academic papers with AI-powered analysis

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Building and Construction

Construction methods, materials, and management, including sustainable construction, building information modeling, construction safety, project management, and innovations in building technology

3 papers in this specialization

Papers

Towards a semantic Construction Digital Twin: Directions for future research

This review examines the limitations of Building Information Modeling (BIM) during construction and explores the potential of semantic Construction Digital Twins (CDTs) to address these limitations. It proposes a three-tiered framework for progressively developing CDTs, emphasizing the integration of IoT, AI, and linked data to enable smarter construction services.

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Calin%20et%20al%20Digital%20Twin%20paper.pdf

Jul 14, 10:36 AM

GMAN: A Graph Multi-Attention Network for Traffic Prediction

The paper introduces GMAN, a graph multi-attention network that predicts traffic conditions (volume and speed) on road networks. GMAN uses spatial and temporal attention mechanisms with gated fusion to model complex correlations and a transform attention layer to reduce error propagation, achieving state-of-the-art results on two real-world datasets, especially for long-term predictions.

Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM

This study uses machine learning, specifically the xgBoost model, to predict the flexural capacity of reinforced concrete beams strengthened with fabric-reinforced cementitious matrix (FRCM). The xgBoost model outperformed existing analytical models and a SHAP analysis identified the area of tensile steel reinforcement, width of the beam, FRCM area, and effective beam depth as the most influential factors.