Advanced informatic technologies for intelligent construction: A review
Since there is a growing interest in driving the digital transformation of the construction
industry, the goal of this paper is to provide a full picture and understanding of the emerging …
industry, the goal of this paper is to provide a full picture and understanding of the emerging …
Generative AI design for building structures
Designing building structures presents various challenges, including inefficient design
processes, limited data reuse, and the underutilization of previous design experience …
processes, limited data reuse, and the underutilization of previous design experience …
Seismic response prediction of a train-bridge coupled system based on a LSTM neural network
High complexity and randomness in high-speed train-bridge interactive dynamic analysis
under earthquake lead to massive calculations in high-speed railway seismic design. To …
under earthquake lead to massive calculations in high-speed railway seismic design. To …
Intelligent design of shear wall layout based on graph neural networks
Structural scheme design of shear wall structures is important because it is the first stage
that guides the project along its entire structural design process and significantly impacts the …
that guides the project along its entire structural design process and significantly impacts the …
[HTML][HTML] Machine learning prediction of BLEVE loading with graph neural networks
In this paper, we propose an innovative machine learning approach for predicting
overpressure wave propagation generated by Boiling Liquid Expanding Vapor Explosion …
overpressure wave propagation generated by Boiling Liquid Expanding Vapor Explosion …
Enhanced multi-scenario running safety assessment of railway bridges based on graph neural networks with self-evolutionary capability
Accurate and efficient safety assessment for train-bridge coupled (TBC) systems is
paramount in railway engineering. Traditional neural networks, though efficient and apt for …
paramount in railway engineering. Traditional neural networks, though efficient and apt for …
Base‐isolation design of shear wall structures using physics‐rule‐co‐guided self‐supervised generative adversarial networks
Seismic isolation can significantly improve the seismic resilience of buildings, resulting in a
growing demand for seismic isolation designs. Meanwhile, the deep generative network …
growing demand for seismic isolation designs. Meanwhile, the deep generative network …
A rapid analysis framework for seismic response prediction and running safety assessment of train-bridge coupled systems
With high-speed railway lines increasing gradually, the running safety assessment (RSA) of
train-bridge coupled (TBC) systems has become an indispensable part of railway seismic …
train-bridge coupled (TBC) systems has become an indispensable part of railway seismic …
Design-condition-informed shear wall layout design based on graph neural networks
The construction industry, traditionally labor-intensive, has now been evolving towards
automation and the incorporation of intelligence. Notably, the shear wall layout has been a …
automation and the incorporation of intelligence. Notably, the shear wall layout has been a …
[HTML][HTML] Green buildings: requirements, features, life cycle, and relevant intelligent technologies
Green buildings are designed and constructed according to the principles of sustainable
development and are an inevitable trend in future architectural development. Nowadays …
development and are an inevitable trend in future architectural development. Nowadays …