01602nam a2200169 4500000000100000008004100001260001300042100001600055700001200071700001500083700002600098245007100124300001200195490000800207520119500215020002201410 2021 d bSpringer1 aLimao Zhang1 aYue Pan1 aXianguo Wu1 aMirosław Skibniewski00aArtificial Intelligence in Construction Engineering and Management aXI, 2630 v1633 a

This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.

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