Print Email Facebook Twitter A material point/finite volume method for coupled shallow water flows and large dynamic deformations in seabeds Title A material point/finite volume method for coupled shallow water flows and large dynamic deformations in seabeds Author Zheng, X. (Durham University) Seaid, Mohammed (Durham University) Pisano, F. (TU Delft Geo-engineering) Hicks, M.A. (TU Delft Geo-engineering) Vardon, P.J. (TU Delft Geo-engineering) Huvaj, Nejan (Middle East Technical University) Osman, Ashraf S. (Durham University) Date 2023 Abstract A hybrid material point/finite volume method for the numerical simulation of shallow water waves caused by large dynamic deformations in the bathymetry is presented. The proposed model consists of coupling the nonlinear shallow water equations for the water flow and a dynamic elastoplastic system for the seabed deformation. As a constitutive law, we consider a linear elastic-non-associative plastic model with the Drucker-Prager yield criterion allowing for large deformations under undrained cases. The transfer conditions between these models are achieved by using forces sampled from the hydraulic pressure and the friction terms along the interface between the seabed soil and shallow water. A detailed description regarding the coupled algorithm for the hybrid material point/finite volume method is presented. Several numerical examples are investigated to demonstrate the performance of the finite volume method for simulations of shallow water flow and the material point method for capturing the large deformation process of the solid phase. We also present numerical simulations of an undrained clay column collapse that induced shallow water waves and a dam-break problem to demonstrate the excellent performance of the proposed hybrid material point/finite volume method. Subject Finite volume methodHybrid methodsLarge deformation analysisMaterial point methodShallow water flows To reference this document use: http://resolver.tudelft.nl/uuid:7d3212d5-672e-4122-bcd6-ce1e3338c191 DOI https://doi.org/10.1016/j.compgeo.2023.105673 ISSN 0266-352X Source Computers and Geotechnics, 162 Part of collection Institutional Repository Document type journal article Rights © 2023 X. Zheng, Mohammed Seaid, F. Pisano, M.A. Hicks, P.J. Vardon, Nejan Huvaj, Ashraf S. Osman Files PDF 1_s2.0_S0266352X23004305_main.pdf 3.21 MB Close viewer /islandora/object/uuid:7d3212d5-672e-4122-bcd6-ce1e3338c191/datastream/OBJ/view