Artificial Intelligence and Data Mining in Geotechnical Engineering: Innovative Approaches and Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 2134
Special Issue Editors
Interests: geotechnical engineering; soft soils; soil improvement; slopes stability; artificial intelligence (AI); neural networks; evolutionary algorithms
Special Issues, Collections and Topics in MDPI journals
Interests: artificial Intelligence; machine learning; optimization; real-time monitoring; civil engineering; geotechnics; construction industry
Special Issue Information
Dear Colleagues,
Artificial intelligence and data mining now play a pivotal role in virtually every field of knowledge, with geotechnical engineering being no exception. In recent times, artificial intelligence and data mining have served as the catalysts for significant advancements, leading to more efficient and optimized systems. Furthermore, they are increasingly recognized as essential tools for effectively tackling some of the most intricate geotechnical challenges, with a focus on reducing environmental impacts and promoting sustainable solutions. Examples of such tools include the utilization of smart geomaterials, the implementation of intelligent construction and monitoring techniques, and the integration of artificial intelligence strategies. Together, these innovations are propelling geotechnics toward more efficient solutions for addressing complex problems.
In this Special Issue of the journal Applied Sciences, we invite the submission of top-tier original research articles that delve into the cutting-edge applications of artificial intelligence and data mining in addressing intricate geotechnical challenges and their role in advancing environmentally conscious solutions within the domain of geotechnical engineering, spanning both the design and construction phases. We welcome papers that encompass a wide spectrum of areas, including but not limited to the following: road and railway infrastructure, airport runways, tunneling endeavors, deep excavations, water supply systems, sewer networks, electrical grids, telecommunications infrastructure, slope stability analysis, soil enhancement techniques, asset management strategies, and monitoring and intelligent construction methodologies.
We encourage the submission of papers that demonstrate high levels of technical rigor, encompassing both theoretical explorations and practical applications across diverse disciplines. Such contributions will not only expand our understanding of information technologies within geotechnical engineering but also shed light on the potential cross-applicability of techniques and methods, fostering interdisciplinary insights. We eagerly anticipate the submission of exceptional original research articles and insightful review papers that explore various facets of information technologies in the realm of geotechnical engineering.
Dr. Joaquim Tinoco
Dr. Manuel Parente
Guest Editors
Manuscript Submission Information
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Keywords
- tunnels and deep excavations
- roads, railways and airport runways
- water supply, sewers, electrical grids, and telecommunications
- asset management
- new construction materials and mixture design
- intelligent constructions
- intelligent maintenance technologies
- materials behavior (rock, soil, cementitious mixtures)
- site characterization
- soil improvement
- slopes stability
- monitoring, surveillance, and field measurement methods
- virtual reality and augmented reality
- advanced design techniques
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