Artificial Intelligence (AI) Applications in ground improvement
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Ground Improvement Upcoming Themed Issue
Submit your abstract by 31 May 2024
Introduction
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.
List of topic areas
We kindly invite you to contribute paper submissions capturing new and original feasibility studies and innovative applications, using AI, for all aspects of ground improvement, ground reinforcement and grouting to this Special Issue, addressing at least one of the topics below:
- Soil mapping by using AI to analyze large and complex datasets from multiple sources, such as satellite imagery, remote sensing, soil surveys, and field measurements
- Reinforcement learning and optimization techniques to design and implement optimal ground improvement strategies (enhancing decision-making processes and improving project efficiency)
- Sensors and intelligent methods. Applications and advantages of Artificial Neural Network (ANN) compared to other AI methods
- Real-time monitoring, data collection, data transmission, data management and data analysis. Examples from ground improvement projects
- Quality control, performance prediction and life cycle assessment
- Case studies covering application of IoT and/or AI (The Artificial Intelligence of Things (AIoT))
- Opportunities and challenges for future research and practical applications of AI in ground improvement (real-time monitoring, autonomous ground improvement installation equipment, virtual reality simulations), robotics
- Enhancement of risk assessment in ground improvement
- Use of AI to analyse large and complex datasets from multiple sources.
Submissions Information
Submit your abstract by 31 May 2024
Author guidelines must be strictly followed
If you are invited to submit your full paper, please register with the ICE review system and then navigate to the journal that you wish to submit to. Choose article type "Themed issue" and then the specific name from the drop-down menu on screen.
Key Deadlines
Closing date for abstract submissions: 31 May 2024
Closing date for full manuscript submissions: 31 October 2024
Guest Editors
Professor Antonio Gomes Correia
University of Minho - Portugal
Professor Panagiotis G. Asteris
Computational Mechanics Laboratory, School of Pedagogical & Technological Education - Greece
Dr Giovanni Spagnoli
Sweco - Germany
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