Machine learning in architecture

B Topuz, NÇ Alp - Automation in Construction, 2023 - Elsevier
This paper explores the utilisation of machine learning in architecture, focusing on the
addressed problems and commonly employed programming languages, software, platforms …

[HTML][HTML] Digital technologies in offsite and prefabricated construction: Theories and applications

Z Cheng, S Tang, H Liu, Z Lei - Buildings, 2023 - mdpi.com
Due to its similarity to industrialized products, the offsite construction industry is seen as a
focus for the transformation of Construction 4.0. Many digital technologies have been …

Pushing the boundaries of modular-integrated construction: A symmetric skeleton grammar-based multi-objective optimization of passive design for energy savings …

Q Zhou, F Xue - Energy and Buildings, 2023 - Elsevier
Abstract Modular-integrated Construction (MiC) is an emerging construction technique
promoted in the building sector for high productivity and low waste emission in the …

Automated building layout generation using deep learning and graph algorithms

L Wang, J Liu, Y Zeng, G Cheng, H Hu, J Hu… - Automation in …, 2023 - Elsevier
Designing architectural layouts is a complex task that has garnered significant attention in
the research community. While automated site layout design and flat layout design have …

BIM-based building geometric modeling and automatic generative design for sustainable offsite construction

VJL Gan - Journal of Construction Engineering and Management, 2022 - ascelibrary.org
Offsite construction is gaining attention due to government policies promoting automation
and productivity. Therefore, understanding the impact of building design on construction cost …

Automated structural design optimization of steel reinforcement using graph neural network and exploratory genetic algorithms

M Li, Y Liu, BCL Wong, VJL Gan, JCP Cheng - Automation in Construction, 2023 - Elsevier
Structural design optimization for steel reinforcement (rebar) is a critical part of reinforced
concrete structures. In practice, this process is conducted manually or semi-automatically for …

A novel Data-Driven framework based on BIM and knowledge graph for automatic model auditing and Quantity Take-off

H Liu, JCP Cheng, VJL Gan, S Zhou - Advanced Engineering Informatics, 2022 - Elsevier
Abstract Model auditing is a critical step before conducting Building Information Modeling
(BIM)-based Quantity Take-off (QTO) because these models may contain various human …

Automated layout of modular high-rise residential buildings based on genetic algorithm

Z Fan, J Liu, L Wang, G Cheng, M Liao, P Liu… - Automation in …, 2023 - Elsevier
The conventional design process of modular high-rise residential buildings (MHRBs) heavily
relies on the experience of designers, leading to concerns about design efficiency and …

Graph-based learning for automated code checking–Exploring the application of graph neural networks for design review

T Bloch, A Borrmann, P Pauwels - Advanced Engineering Informatics, 2023 - Elsevier
Although automated code checking (ACC) has been a subject of interest for many years, we
have not yet seen significant breakthroughs in the field that may lead to the development of …

An edge-weighted graph triumvirate to represent modular building layouts

X Lin, J Chen, W Lu, H Guo - Automation in Construction, 2024 - Elsevier
Representing building layouts as graphs can extract critical design patterns that would
facilitate space syntax analyses as well as design mining and automation but traditional …