01615nam a2200181 4500000000100000000000100001008004100002260001300043100001600056700001200072700001500084700002600099245007100125300001200196490000800208520119500216020002201411 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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