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Numerical simulation methods for sense-phase dredging flows
Bartholomeus Johannes Konijn
Faculty of Engineering Technology
University of Twente
Research output
:
Thesis
›
PhD Thesis - Research UT, graduation UT
226
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Earth and Planetary Sciences
Particle
100%
Sand
100%
Dredging
100%
Simulation
100%
Concentration (Composition)
83%
Sediment
50%
Solid
50%
Parameter
50%
Water
50%
Condition
33%
Investigation
33%
Model
33%
Liquid
33%
Mixture
33%
Diameter
33%
Behavior
33%
Filling
33%
Site
16%
Rate
16%
Collection
16%
Actuator
16%
Purpose
16%
Bed
16%
Flow Distribution
16%
Value
16%
Speed
16%
Time
16%
Rheometer
16%
Experiment
16%
Surface Pressure
16%
Utilization
16%
Position (Location)
16%
Momentum
16%
Solid Phase
16%
Show
16%
Charge Flow Device
16%
Conservation Equation
16%
Physics
Sensory Perception
100%
Particle
100%
Simulation
100%
Volume
83%
Fractions
83%
Solid State
50%
Independent Variables
33%
Liquids
33%
Diameters
33%
Water
33%
Viscosity
33%
Model
33%
Parameter
16%
Momentum
16%
Value
16%
Water Phase
16%
Speed
16%
Sites
16%
Performance
16%
Position (Location)
16%
Flow Distribution
16%
Shears
16%
Utilization
16%
Pressure
16%
Engineering
Simulation Method
100%
Computer Simulation
100%
Water
50%
Models
33%
Particle Diameter
33%
Mixture
33%
Computational Fluid Dynamics
16%
Rheometer
16%
Experiments
16%
Velocity
16%
Flow Condition
16%
Experimental Work
16%
Function of Time
16%
Two-Fluid Model
16%
Conservation Equation
16%
Excavation
16%
Codes
16%
Ships
16%
Performance
16%
Constitutive Relation
16%
Viscosity
16%
Liquid Viscosity
16%
Applications
16%
Determines
16%
Flow Field
16%
Flow Simulation
16%
Shear Rate
16%
Chemistry
Volume
100%
Procedure
100%
Solid
80%
Water Type
60%
Suspension
60%
Mixture
40%
Viscosity
40%
Liquid
40%
Cylinder
20%
Fluidized Bed
20%
Pump
20%
Time
20%
Velocity
20%
Momentum
20%
Rate
20%
Application
20%
Pressure
20%
Pharmacology, Toxicology and Pharmaceutical Science
Water
100%
Pump
33%