Towards next generation design of sustainable, durable, multi-hazard resistant, resilient, and smart civil engineering structures
The design philosophy and methodology of civil engineering structures have been
constantly evolving, from the early strength-based to more recent performance-based design …
constantly evolving, from the early strength-based to more recent performance-based design …
Physics-guided, physics-informed, and physics-encoded neural networks in scientific computing
Recent breakthroughs in computing power have made it feasible to use machine learning
and deep learning to advance scientific computing in many fields, including fluid mechanics …
and deep learning to advance scientific computing in many fields, including fluid mechanics …
Intelligent structural design of shear wall residence using physics‐enhanced generative adversarial networks
Intelligent structural design using generative adversarial networks (GANs) is a revolutionary
design approach for building structures. Despite its far‐reaching capability, the data quantity …
design approach for building structures. Despite its far‐reaching capability, the data quantity …
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 …
Prediction of failure modes, strength, and deformation capacity of RC shear walls through machine learning
Shear walls are typically the major lateral load-carrying components in high-rise buildings
owing to their high lateral strength and stiffness. This study introduces a technique for …
owing to their high lateral strength and stiffness. This study introduces a technique for …
Intelligent beam layout design for frame structure based on graph neural networks
The layout design of the frame structure beams is a critical task in frame structure design.
Traditional automatic layout methods often rely on established rules. However, the …
Traditional automatic layout methods often rely on established rules. However, the …
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 …
Machine learning in structural design: an opinionated review
C Málaga-Chuquitaype - Frontiers in Built Environment, 2022 - frontiersin.org
The prominence gained by Artificial Intelligence (AI) over all aspects of human activity today
cannot be overstated. This technology is no newcomer to structural engineering, with logic …
cannot be overstated. This technology is no newcomer to structural engineering, with logic …
Dual generative adversarial networks for automated component layout design of steel frame-brace structures
With the development of artificial intelligence (AI), it gains in popularity to use AI to solve
problems in civil engineering. However, the research on AI is mainly focused on the field of …
problems in civil engineering. However, the research on AI is mainly focused on the field of …
Automatic floor plan analysis and recognition
Due to recent advances in machine learning, there has been an explosive development of
multiple methodologies that automatically extract information from architectural floor plans …
multiple methodologies that automatically extract information from architectural floor plans …