Artificial Intelligence Applications for High-Performance Built Environments

Erscheinungsjahr 2026
ISBN: 978-0-443-44245-2
Verlag: Elsevier Science & Technology

Buch, Englisch, Format (B × H): 152 mm x 229 mm

Artificial Intelligence Applications for High-Performance Built Environments draws on the authors’ international academic and industry experience to provide readers with a comprehensive overview of the beneficial impact of AI to the building industry, with both theoretical insights and real-world applications. The book demonstrates how many building industry challenges can be successfully addressed using intelligent technologies while also presenting detailed, cutting-edge methods of applying AI to a range of building industry procedures and performance aspects of the built environment. Readers will learn how to use AI solutions to address similar problems they may be confronted with in their projects/investigations.

Sections suggests models, algorithms, and tools, providing a practical pathway for readers to apply AI technologies across the entire building process lifecycle to enhance innovation, efficiency, and productivity. The book's emphasis on intelligence technologies appeals equally to academic and industry-based readers who are not only interested in getting in front of the sector’s technology curve but also in discovering innovative, practical solutions.

Autoren/Hrsg.

Lu, Shuai

Bao, Dingwen ‘Nic’

Tan, Yi

Fachgebiete

• Technische Wissenschaften Bauingenieurwesen Baukonstruktion, Baufachmaterialien
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Bauindustrie, Baugewerbe

Inhaltsverzeichnis

1. Introduction
2. Planning
3. Massing
4. Swarm intelligence and generative design
5. Structural optimization
6. New materials and digital fabrication
7. Construction management and digital twin
8. Industrial construction
9. Operation and maintenance
10. Human-centric understanding

Über Autor(innen)

Bao, Dingwen ‘Nic’
Dr. Dingwen ‘Nic’ Bao is a Senior Lecturer in Architecture, Architecture Technology Stream Coordinator, and Director of the FormX Research Lab at RMIT University. He currently serves as a Chief Investigator (CI) for an Australian Research Council (ARC) project and a RACE 2023 project. Dr Bao specializes in advanced architectural design, computational design, topology optimization, behavioral algorithms, additive manufacturing, and robotic fabrication

Lu, Shuai
Dr Shuai Lu is an associate professor at the Institute of Future Human Habitats, Shenzhen International Graduate School, Tsinghua University. Before joining Tsinghua, he was a Lecturer at the University of Sydney. He holds bachelor and Ph.D. degrees from Tsinghua University, and has visiting positions at the National University of Singapore, Technical University of Munich and RWTH Aachen University. Shuai’s research focuses on the interaction of architecture, architectural science and computer science

Tan, Yi
Dr. Yi Tan is an associate professor at the Department of Engineering Management Science, College of Civil and Transportation Engineering, Shenzhen University (SZU). Before joining SZU, he was a research fellow at Nanyang Technological University. He holds a bachelor's degree from Chongqing Jiaotong University, master's degree from University of Southern California, USA and Ph.D. degree from the Hongkong University of Science and Technology. Yi’s research focuses on smart construction, building information modeling, and digital twin