This article presents a state-of-the-art review of the applications of Artificial Intelligence (AI),
Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in …

Metamodel-assisted optimization is a valuable alternative to handle structural design
optimization procedures, which are usually quite expensive and sometimes even prohibitive …

Accurate prediction of structural responses under seismic action is important for the
performance assessment of structures. However, depending on the variability of the …

Abstract Design automation addresses the problem of manual and time-consuming design
processes by streamlining and optimizing the creation of products, systems, or solutions …

Abstract Monte Carlo Tree Search (MCTS) is a search technique that in the last decade
emerged as a major breakthrough for Artificial Intelligence applications regarding board-and …

With the rapid growth of deep learning technology, the potential for its use in structural
engineering has substantially increased in recent years. This study proposes an innovative …

Conceptual design is crucial for designing offshore jacket substructures because it sets the
direction for the entire design process. Nevertheless, conventional simulation-based …

In scenarios where complex analyses are routinely conducted on similar structures, such as
in a redesign process to meet performance requirements or when input parameters require …

This research demonstrates how pre-tensioned concrete beams (PT beams) are designed
holistically using artificial neural networks (ANNs). To establish reverse design scenarios …

The complex and time-consuming nature of building design necessitates meticulous
attention to detail and adherence to principles. Automation in the design process is crucial …