Reprint

Intelligent and Computer Technologies Application in Construction

Edited by
September 2023
306 pages
  • ISBN978-3-0365-8150-7 (Hardback)
  • ISBN978-3-0365-8151-4 (PDF)

This book is a reprint of the Special Issue Intelligent and Computer Technologies Application in Construction that was published in

Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary

The construction industry has long been a driving force behind global economic growth; however, despite its boom, it still faces a host of challenges, including lagging productivity, labor, and environmental sustainability. It is therefore crucial for the industry to undergo industrial transformation and upgrade to ensure its continued and healthy development. Intelligent construction provides a promising solution to these challenges. Over the past two decades, intelligent and computer technologies have revolutionized the construction industry, improving sustainability, safety, and productivity. These technologies have become indispensable tools for construction professionals, enabling them to collaborate, communicate, and perform tasks more efficiently. As these technologies continue to advance, there is still much scope for researchers and industry practitioners to promote digital and intelligent transformation in this field. This Special Issue aims to provide a platform to explore state-of-the-art knowledge, practical implementations, and cutting-edge innovations in the area of intelligent and computer technologies and their applications in construction. Intelligent construction is a complex topic that encompasses the entire project life cycle. The papers in this Special Issue provide excellent examples of the development and application of Building Information Modeling (BIM), blockchain, and deep learning to improve safety, quality, and sustainability in construction projects.

Format
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
digital twin; Internet of Things; prefabricated components; hoisting; building information model; long-range radio; Dijkstra’s algorithm; intelligent construction; influencing factors; structural equation modeling; acoustic performance; building; Building Information Modelling (BIM); built environment; optimization algorithms; reverberation time; construction process; safety compliance checking; ontology; BIM; NLP; mobile crane; automated selection; automated localization; virtual construction; construction scene identification; visual relationship detection; scene rules; deep learning; neural networks; highway bridges; deep learning; pipeline component extraction; point clouds; feature; CNN (convolutional neural network); building information modeling; information technology; green building; sustainable building; construction; intelligent construction; driving factors; driving force theory; Porter Diamond Model; grey relation analysis; intelligent structural design; generative adversarial networks; parametric modeling; reinforced concrete shear wall structures; schematic design; blockchain; innovation adoption; construction industry; technology–organization–environment (TOE); PLS-SEM; fsQCA; metro construction project; safety risk management; knowledge expansion; co-occurrence analysis; association rule mining; intelligent construction management (ICM); construction industry; maturity assessment system; improvement plan; building information modelling; BIM adoption; construction industry; technology factors; Yemen; partial least square; PLS; SEM; n/a