Multiphysics Processes and Modeling in Marine Geotechnics
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Soil and Water".
Deadline for manuscript submissions: 20 July 2026 | Viewed by 3
Special Issue Editors
Interests: submarine slope stability analysis and prediction; local scour and protection; solute transport
Special Issues, Collections and Topics in MDPI journals
Interests: soil improvement; bio-geotechnical engineering; constitutive model of soil and stabilized soil
Special Issues, Collections and Topics in MDPI journals
2. College of Harbor, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China
Interests: fluid–seabed–structure interactions; solute transport; offshore renewable energy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Marine geotechnics underpins a wide range of onshore, offshore, and subsea applications, including energy development, coastal infrastructure, and emerging solutions for climate mitigation. This Special Issue focuses on recent advances in marine geotechnics, with particular emphasis on coupled physical processes, fluid–structure–seabed interaction, and innovative modeling strategies.
Topics of interest include, but are not limited to, the hydro-mechanical and thermo-hydro-mechanical behavior and constitutive modeling of marine geological materials such as calcareous sand and soft clay, numerical simulations of coastal underground structures including tunnels and pits, soil foundation improvement techniques in coastal areas such as soil solidification and flowable solidified soil, geomechanical integrity and deformation processes associated with offshore carbon capture and storage (CCS), and coupled multiphysics processes such as scour, liquefaction, and seepage governing fluid–seabed and fluid–seabed–structure interactions.
The Special Issue encourages contributions employing a broad range of methodologies, including laboratory and in situ experiments, physical modeling in wave flumes or centrifuges, and advanced numerical simulations. In addition, emerging data-driven and hybrid approaches, such as machine learning and physics-informed neural networks (PINNs), are encouraged to enhance predictive capability, data integration, and uncertainty quantification. Review articles synthesizing recent progress and outlining future research directions in marine geotechnics are also welcome.
Prof. Dr. Xiaoli Liu
Prof. Dr. Jianfeng Zhu
Dr. Hongyi Zhao
Guest Editors
Manuscript Submission Information
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Keywords
- marine geotechnics
- coupled processes
- multiphysics processes
- fluid–structure–seabed interaction
- carbon capture and storage
- data-driven modeling
- physics-informed neural networks
- soil improvement
- constitutive model
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