A5019919229- Coastal and Marine Dynamics
- Coastal wetland ecosystem dynamics
- Geological formations and processes
- Aeolian processes and effects
- Hydrology and Sediment Transport Processes
- Particle Dynamics in Fluid Flows
- Soil erosion and sediment transport
- Tropical and Extratropical Cyclones Research
- Ocean Waves and Remote Sensing
- Fluid Dynamics Simulations and Interactions
- Landslides and related hazards
- Oceanographic and Atmospheric Processes
- Granular flow and fluidized beds
- Fluid Dynamics and Turbulent Flows
- Hydraulic flow and structures
- Underwater Acoustics Research
- Coagulation and Flocculation Studies
- Meteorological Phenomena and Simulations
- Wind and Air Flow Studies
- Flood Risk Assessment and Management
- Petroleum Processing and Analysis
- Fluid Dynamics and Heat Transfer
- Pickering emulsions and particle stabilization
- Aquatic and Environmental Studies
- Earthquake and Tsunami Effects
University of Delaware
2016-2025
University of Florida
2002-2025
Villanova University
2024-2025
Virginia Tech
2024
Florida Agricultural and Mechanical University
2018
HR Wallingford
2018
University of Plymouth
2018
Florida State University
2018
University of Hull
2018
John Wiley & Sons (United States)
2014
A model is presented for concentrated sediment transport that driven by strong, fully developed turbulent shear flows over a mobile bed. Balance equations the average mass, momentum and energy two phases are phrased in terms of concentration–weighted (Favre averaged) velocities. Closures correlations between fluctuations concentration particle velocities based on those collisional grain flow. This appropriate particles so massive their fall velocity exceeds friction fluid Particular...
Abstract. In this paper, a three-dimensional two-phase flow solver, SedFoam-2.0, is presented for sediment transport applications. The solver extended from twoPhaseEulerFoam available in the 2.1.0 release of open-source CFD (computational fluid dynamics) toolbox OpenFOAM. approach phase modeled as continuum, and constitutive laws have to be prescribed stresses. proposed two different intergranular stress models are implemented: kinetic theory granular flows dense rheology μ(I). For stress,...
Abstract Flocculation of sediments is crucial for morphodynamics, biogeochemical cycles, and ecological processes in aquatic environments. Here we present field evidence that bio-cohesion primarily drives the flocculation suspended on a coastal algal reef. Results from concurrent measurements sediment mass volume concentrations, along with Reynolds stress, reveal unexpected trends, data deviate classic Rouse formula when non-cohesive assumed. Direct estimates particle effective density show...
A two‐phase model is implemented to study the effects of wave shape on transport coarse‐grained sediment in sheet flow regime. The based balance equations for average mass, momentum, and fluctuation energy both fluid phases. Model simulations indicate that responses flow, such as velocity profiles, instantaneous bed shear stress, flux, total amount mobilized sediment, cannot be fully parameterized by quasi‐steady free‐stream may correlated with magnitude local horizontal pressure gradient...
In this paper we present a model describing dilute sediment transport that involves two‐phase mass and momentum equations k − ϵ for the energy of turbulent flow. We apply to steady, uniform, open channel flow calculate concentration velocity profiles in two ways. semianalytical approach adopt boundary layer approximations obtain improve upon single‐phase Rouse formula [ , 1937 ]. The improvement is due incorporation dissipation presence sediment. numerical integrate time‐dependent steady...
Abstract To understand the interaction between wave‐breaking induced turbulent coherent structures and suspended sediment transport, we report a Large‐Eddy Simulation (LES) study of processes over near‐prototype scale barred beach. The numerical model is implemented using open‐source CFD toolbox, OpenFOAM ® , in which incompressible three‐dimensional filtered Navier‐Stokes equations for water air phases are solved with finite volume scheme. A fluid (VOF) method used to capture evolution...
We introduce a two‐phase model for sand transport in sheet flow regime. This uses collisional theory and k – ɛ fluid turbulence closure to respectively the sediment phase stresses. The stress adopts balance equation of particle fluctuation energy based on kinetic that incorporates two‐way interactions between phases. also considers interaction particles. Model‐data comparisons layer oscillatory flows U‐tube open channel demonstrate model's predictive skill. For steady velocity follows...
Studying particle-laden oscillatory channel flow constitutes an important step towards understanding practical application. This study aims to take a forward in our of the role turbulence on fine-particle transport and back effect fine particles modulation using Eulerian–Eulerian framework. In particular, simulations presented this are selected investigate wave-induced sediment processes typical coastal setting. Our modelling framework is based simplified two-way coupled formulation that...
Abstract The interactions between waves, tidal currents, and bathymetry near New River Inlet, NC, USA are investigated to understand the effects on resulting hydrodynamics sediment transport. A quasi‐3‐D nearshore community model, NearCoM‐TVD, is used in this integrated observational modeling study. model validated with observations of waves currents at 30 locations, including a recently dredged navigation channel shallower channel, ebb delta, for range flow offshore wave conditions during...
Abstract Biophysical cohesion, introduced predominantly by Extracellular Polymeric Substances (EPS) during mineral flocculation in subaqueous environments, plays important role morphodynamics, biogeochemical cycles and ecosystem processes. However, the mechanism of how EPS functioning with cohesive particles affects settling behaviors remain poorly understood. We measure initial rate, floc size velocity artificial (Xanthan gum) mixtures. Combining results from these previous studies...
This paper presents a comparative analysis of three State Charge (SoC) estimation methods for lithium-ion batteries: Coulomb Counting, Voltage-based, and Deep Learning. The study evaluates their performance in simulated environment with varying temperature profiles, discharge conditions, capacity adjustments. Metrics such as RMSE MAE were used to assess accuracy. Results show that Voltage-based achieves the highest accuracy scenario (RMSE: 0.4159, MAE: 0.3744), while Learning demonstrates...