Artificial Intelligence and Optimisation Techniques for Risk Reduction in Civil Engineering

Sayers, William ORCID: 0000-0003-1677-4409 (2021) Artificial Intelligence and Optimisation Techniques for Risk Reduction in Civil Engineering. In: Handbook of Research on Digital Transformation, Industry Use Cases, and the Impact of Disruptive Technologies. Advances in E-Business Research Book Series . IGI Global, Hershey PA, pp. 55-72. ISBN 9781799877127

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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.

Item Type:	Book Section
Additional Information:	Chapter 4 Chapter may be accessed for a fee from the publisher's website. The ebook is available to members of the the University of Gloucestershire via the 'Organisation' weblink.
Related URLs:	Publisher Organisation
Subjects:	H Social Sciences > HF Commerce > HF5001 Business T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas:	Applied Business & Technology
Depositing User:	Anne Pengelly
Date Deposited:	21 Dec 2021 11:14
Last Modified:	31 Oct 2023 12:59
URI:	https://eprints.glos.ac.uk/id/eprint/10495

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