Overview
- Highlights recent advances, technologies, and applications of AI in construction engineering and management
- Includes a wide range of solutions to address many challenging construction problems—tunnel-induced damages, defect detection, and risk estimates
- Presents how industrial participants can operate projects more efficiently and safely by increasing the automation/productivity and enhance competitiveness globally?
Part of the book series: Lecture Notes in Civil Engineering (LNCE, volume 163)
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Table of contents (11 chapters)
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Front Matter
Keywords
About this book
Authors and Affiliations
About the authors
Yue Pan is currently a Ph.D. candidate at the School of Civil and Environmental Engineering (CEE) in Nanyang Technological University, Singapore. Her research interests include construction informatics, building information modeling, and data mining to support smart construction engineering and management. She received the M.S. of Civil Engineering from Carnegie Mellon University, USA, in 2017, where she was involved in the group of advanced infrastructure systems (AIS). She earned the B.S. of Engineering Mechanics from Tongji University, China, in 2016.
Xianguo Wu is Professor at the School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology (HUST), China. Prof. Wu received the Ph.D. degree at HUST in 2006. Her research interests include tunnel construction safety, BIM, digital twin, and green buildings. She had led several projects funded by the National Natural Science Foundation of China (NSFC).
Dr. Skibniewski is A. James Clark Endowed Chair Professor of Construction Engineering and Project Management in the Department of Civil and Environmental Engineering at the University of Maryland in College Park.USA. Prior to his current appointment, he served for 20 years as a faculty member at Purdue University in West Lafayette, Indiana, where he held a position of Professor of Civil Engineering, Construction Engineering and Management. He received his M.Eng. degree from Warsaw University of Technology, and M.S. and Ph.D. degrees from Carnegie Mellon University. As a researcher and educator, Professor Skibniewski currently specializes in e-commerce technology applications to engineering project management for construction and in construction automation. Dr. Skibniewski served on the National Academy of Engineering USA-Germany and USA-Japan Frontiers In Engineering committees, American Society of Civil Engineers' Robotics and Field Sensing Committee, Information Technology Committee, and Intelligent Computing Committee, various technical committees of the Construction Industry Institute.
Bibliographic Information
Book Title: Artificial Intelligence in Construction Engineering and Management
Authors: Limao Zhang, Yue Pan, Xianguo Wu, Mirosław J. Skibniewski
Series Title: Lecture Notes in Civil Engineering
DOI: https://doi.org/10.1007/978-981-16-2842-9
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-16-2841-2Published: 19 June 2021
Softcover ISBN: 978-981-16-2844-3Published: 20 June 2022
eBook ISBN: 978-981-16-2842-9Published: 18 June 2021
Series ISSN: 2366-2557
Series E-ISSN: 2366-2565
Edition Number: 1
Number of Pages: XI, 263
Number of Illustrations: 16 b/w illustrations, 89 illustrations in colour
Topics: Construction Management, Artificial Intelligence, Computational Intelligence, Image Processing and Computer Vision, Computer-Aided Engineering (CAD, CAE) and Design