69 skills found · Page 1 of 3
danieljprice / PhantomPhantom Smoothed Particle Hydrodynamics and Magnetohydrodynamics code
martinjrobins / SPH DEMAn academic c++ code for numerical modelling of fluid-particle systems using Smoothed Particle Hydrodynamics (SPH) and Discrete Element Modeling (DEM)
fabm-model / FabmThe Framework for Aquatic Biogeochemical Models (FABM): a Fortran 2003 programming framework for biogeochemical models of marine and freshwater systems.
Mohid-Water-Modelling-System / MohidOfficial MOHID Water Modelling System repository
HEMLab / HiPIMS CUDAHigh-Performance Integrated Hydrodynamic Modelling System (HiPIMS-CUDA) for flood modelling
llnl / SpheralNo description available
passaH2O / DoradoFor shallow-water Lagrangian particle routing.
openearth / GlofrimGlobally Applicable Framework for Integrated Hydrological-Hydrodynamic Modelling (GLOFRIM)
CyprienBosserelle / BG FloodNumerical model for simulating shallow water hydrodynamics on the GPU using an Adaptive Mesh Refinment type grid. The model was designed with the goal of simulating inundation (River, Storm surge or tsunami). The model uses a Block Uniform Quadtree approach that runs on the GPU but the adaptive/multi-resolution/AMR is being implemented and not yet operational. The core SWE engine and adaptivity has been inspired and taken from St Venant solver from Basilisk and the CUDA GPU memory model has been inspired by the work from Vacondio _et al._2017)
HuysmanWang / Deep Learning Aided Porous Media Hydrodynamic Analysis And Three Dimensional ReconstructionThe study of hydrodynamic behavior and water-rock interaction mechanisms is typically characterized by high computational efficiency requirements, to allow for the fast and accurate extraction of structural information. Therefore, we chose to use deep learning models to achieve these requirements. In this paper we started by comparing the image segmentation performance of a series of autoencoder architectures on complex geometries of porous media. The goal was to extract hydrodynamic connectivity channels and the mineral composition of rock samples on SEM (Scanning electron microscopy) data, obtained with a 0.97 accuracy. We then focused on improving the computational efficiency of LBM by using GPU acceleration, which allowed us to rapidly simulate structural flow field features of complex porous media. The results obtained showed that we were able to improve the computational efficiency by a factor of 21 in our device environment. We subsequently employed a SWD-Cycle-GAN technique to migrate sedimentation features to the initial 2D structure slices to reconstruct a 3D (three-dimensional) porous media geometry, that fits the depositional features more closely. Overall, we propose a new method for 3D structure reconstruction and permeability performance analysis of porous media, based on deep learning. The proposed method is fast, efficient and accurate.
H-Qin / CHANS HiPIMS FLAMEGPUThe HiPIMS-FLAMEGPU Coupled Model Framework integrates the high-performance hydrodynamic modeling capabilities of HiPIMS with the flexible agent-based modeling environment of FLAMEGPU. This combined framework allows for the simulation of complex interactions between human activities and flooding processes.
schism-dev / PyschismPython interface for handling the SCHISM model.
openearth / XbeachXBeach open-source numerical model to simulate hydrodynamic and morphodynamic processes and impacts on sandy coasts
nerdalize / Deltares Delft3d BDocker container to run Delft3D: a world leading open-source 2D/3D modeling suite to investigate hydrodynamics, sediment transport, morphology and water quality for fluvial, estuarine and coastal environments.
robjameswall / DhitoolsPython tools for working with DHI MIKE21
ZhenduoZhu / HydroSedFoamA parallelized two-dimensional hydrodynamic, sediment transport, and bed morphology model using OpenFOAM
zcobell / MetOceanViewerMultipurpose tool for viewing hydrodynamic model data, such as ADCIRC, with a gui interface
open-toolbox / SWMM AstlingenThis hydrodynamic SWMM model is developed by Congcong Sun (Institut de Robòtica i Informàtica Industrial (CSIC-UPC) under the supervise of Manfred Schütze (Department of Water and Energy, ifak), Morten Borup and Luca Vezzaro (Department of Environmental Engineering of Technical University of Denmark). Quote and mention the authors are needed during the use and dissemination of this model.
AMReX-Fluids / AMReX HydroAMReX-based hydro routines
haowang-astro / JetsimpyA hydrodynamic model of gamma-ray burst jet and afterglow
