Artificial intelligence in construction engineering and management
By Limao Zhang, Yue Pan, Xianguo Wu, Mirosław J. Skibniewski

Artificial intelligence in 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.

Artificial intelligence in construction engineering and management 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 tunnel-induced damages, risk estimates, and defect detection.

A tremendous transformation has taken place in the past years with the emerging applications of AI in the construction industry.

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.

Artificial intelligence in construction engineering and management highlights the latest technologies and applications of AI in the domain of construction engineering and management (CEM).

Various AI techniques have been developed to make machines mimic human cognitive processes in terms of learning, reasoning, and self-correcting.