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Artificial Intelligence and Optimisation Techniques for Risk Reduction in Civil Engineering

Artificial Intelligence and Optimisation Techniques for Risk Reduction in Civil Engineering
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Author(s): William K. P. Sayers (University of Gloucestershire, UK)
Copyright: 2022
Pages: 18
Source title: Handbook of Research on Digital Transformation, Industry Use Cases, and the Impact of Disruptive Technologies
Source Author(s)/Editor(s): Martin George Wynn (University of Gloucestershire, UK)
DOI: 10.4018/978-1-7998-7712-7.ch004

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Abstract

Artificial intelligence techniques are at the centre of a major shift in business today. They have a very broad array of applications within businesses, including that of optimisation for risk reduction in civil engineering projects. This is an active area of research, which has started to see real-world applications over the last few decades. It is still hindered by the extreme complexity of civil engineering problems and the computing power necessary to tackle these, but the economic and other benefits of these emerging technologies are too important to ignore. With that in mind, this chapter reviews the current state of research and real-world practice of optimisation techniques and artificial intelligence in risk reduction in this field. It also examines related promising techniques and their future potential.

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