A literature review on fluid-coupled particle scale models and open-source software to realistically simulate submarine sediments
(si apre in una nuova finestra)
There has been a large body of literature on fluid-coupled particle-based methods, such as unresolved or fully resolved Computational Fluid Dynamics-DEM and Pore Finite Volume-DEM. The modelling of realistic particle shapes is also becoming feasible computationally. An initial step is to review existing approaches to model the pore-scale hydrodynamic coupling of submarine soil from quasi-static to fast flowing regimes. Furthermore, we will investigate the capability and limitations of widely used open-source software packages, and discuss the possibility to integrate realistic particle shapes and pore-scale hydrodynamics.
Formulation and algorithm for 3D PFEM and MPM
(si apre in una nuova finestra)
A preliminary version of a unified formulation for modelling soil-water-structure interaction will be delivered. The complete set of equations governing the interaction among saturated slow- and fast-flowing porous media (subsea soil) non-Newtonian fluid (sea water)and solid (structure) will be implemented in the framework of particle finite element method for large deformation analysis, and compared with a volume-coupled formulation of multi-phase MPM.
DC vacancies definition and advertisement
(si apre in una nuova finestra)
The description of each DC clearly defined and the positions advertised on the POSEIDON website and social media.The report should include the links to EURAXESS and other publications media, together with the text of the vacancies and the period that remained open.
POSEIDON repositories for open access setup
(si apre in una nuova finestra)
Setup of the POSEIDON repositories ready on Open Science platforms such as Zenodo, GitHub/GitLab, for sharing open research data and software.
A generic statistical framework for quantification and propagation of uncertainties in soil strength parameters
(si apre in una nuova finestra)
Established a Bayesian approach-based framework is for combining prior information and limited data, quantifying different components of uncertainty, and facilitating their propagation. The generic statistical framework will improve procedures and guidelines for obtaining probabilistic predictions of soil strength parameters to be used in reliability-based offshore foundation designs.