Journal
Guest editor(s)
Antonio Gomes Correia, Panagiotis G. Asteris, Giovanni Spagnoli
The application of Artificial Intelligence (AI) has increased in various engineering applications, but to a lesser extent in the field of ground improvement (GI) at both field and laboratory scale. There is an urgent need to automate the process of data acquisition and processing in real time from different types of sensors for further geotechnical parameter assessment, quality control and decision-making. It is important that the GI industry embraces this.
Furthermore, the application of AI algorithms can enhance the capacity of prediction of settlement, compressive strength, stress-strain behaviour, compaction and/or consolidation performances, essential for analysing serviceability or stability of geotechnical infrastructures, including life cycle assessment.
Finally, the use of multiple objective functions for design performance is a challenge satisfying imposed constraints due to materials, technologies, costs, or environmental issues. The relative success and accuracy of AI applications is dependent on the number and type of datasets, together with the selection of input parameters. This Special Issue aims to share developments and advances in AI and its application in GI. Authors are encouraged to share laboratory and field research experiences, together with case studies.
For more information on this special issue, visit the website here.
