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Back Matter
Oct 3, 2023

Back Matter for Computational Fluid Dynamics Modeling in Water Infrastructure

Publication: Computational Fluid Dynamics Modeling in Water Infrastructure: Best Practices

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Accuracy of model
42
Activated sludge (AS) process
10–11. See also biological process models
American Society of Mechanical Engineers (ASME)
1
ASME
. See American Society of Mechanical Engineers
Aspect ratio, mesh
15
Biological process models
10–11
Boundary conditions
19–23
degassing
21
errors
44
mass-flow inlet
20
outflow
21
periodic
22
porous jump
22
pressure inlet
20
pressure outlet
21
symmetry
22
turbulence closure conditions
23
velocity inlet
20
velocity outlet
20
wall
21
Boundary layer mesh
16–18
Boundedness
42
CAD model error
43
Calibration
45–46
Cell zone conditions
23
CFD
. See computational fluid dynamics
Chemical process models
11
Computational fluid dynamics (CFD)
1
biological process models
10–11
boundary conditions
19–23
calibration in
45–46
case complexity
6–7
cell zone conditions
23
chemical process models
11
coordinate systems
7–8
coupled vs. segregated solver for
26–27
discretization of equations for
25–26
documentation
49–50
domain geometry
8–9
framework
3
FVM for
25
grid independence tests for
37–40
guidelines
1
industrial applications
6
initial conditions
19–23
meshing in
13–18
modeling of chlorine contact basins
2
numerical methods
25–30
physical process models
9–10
practices
1–2
problem formulation
phase
6
scale of
9;
quality control for
51–52
reporting of
49–50
software packages
8
stability and convergence of
27–28
timescales
8
turbulence closure conditions
23
turbulence schemes for
33–35
two-dimensional versus three-dimensional modeling approaches, adequacy of
7
uncertainty in engineering
42–45
use of
53
verification and validation (V&V) for
41–46
wastewater applications
2
in water design projects
1–2
Convergence/stability, controlling rate of
27–28
solution initialization
28
time-dependent solutions
28
underrelaxation factors
27
Coordinate systems
7–8
Coupled vs. segregated solver
26–27
Courant–Federich–Lewy (CFL) condition
28
Direct numerical simulation (DNS) strategy
33
Dirichlet boundary condition
19–23
Discretization errors
44
Discretization of equations
25–26
Documentation
49–50
Domain geometry
8–9
Energy conservation
42
Environmental and Water Resources Institute (EWRI)
2
Equiangular skewness, mesh
15
Eulerian method
6–7
EWRI
. See Environmental and Water Resources Institute
Finite volume
25
Finite volume method (FVM)
25
Grid independence tests
37–40
case study
38–40
for sufficient grid resolution
37–38
Hybrid meshing
13–15, 17
Initial conditions
19–23
Jacobian determinant, mesh
15
Lagrangian method
6–7
Large-Eddy simulation (LES)
33
LES
. See large-Eddy simulation
Mass conservation
42
Mathematical model error
43
Mesh/meshing
13–18
aspect ratio
15
boundary layer
16–18
in cell connectivity
13, 15
characteristics of
13–15
equiangular skewness
15
hybrid
13–15, 17
Jacobian determinant
15
metrics
15
nonorthogonality
15
parts of
15
quality
13, 15
size
16
strategy
16–18
structured
13–15
types
13–15
unstructured
13–16
Momentum conservation
42
Navier–Stokes (N–S) equations
25, 33
direct numerical simulation strategy for
33
large-Eddy simulation for
33
RANS closure models for
34–35
RANS strategies for
34
Neumann boundary condition
19
Nonorthogonality, mesh
15
Numerical errors
43
Numerical methods for CFD
25–30
convergence/stability, controlling rate of
27–28
solution initialization
28
time-dependent solutions
28
underrelaxation factors
27
coupled vs. segregated solver
26–27
discretization of equations
25–26
schemes, choice of
29–30
OpenFOAM V6 User Guide, 29
Physical process models
9–10
Postprocessing error
44
Problem formulation phase
6
Process models of CFD
9
biological
10–11
chemical
11
physical
9–10
Quality control for CFD
51–52
definition
51
importance
52
procedures
51–52
RANS closure models
34–35
Realizability
42
Reporting, CFD model
49–50
Representation errors
44
Reynolds-averaged Navier–Stokes (RANS) equations
29, 34–35
Scale of CFD problems
9
Software errors
44
Software packages
8
Solution initialization
28
Structured meshing
13–15
Time-dependent solutions
28
Timescales
8
Turbulence closure conditions
23
Turbulence schemes
33–35
direct numerical simulation strategy
33
large-Eddy simulation
33
RANS closure models
34–35
RANS strategies
34
Two-dimensional versus three-dimensional CFD modeling approaches
7
Uncertainty in engineering, CFD
42–45
Underrelaxation
27
Unstructured meshing
13–16
User errors
43–44
Validation errors
44
Verification and validation (V&V) for CFD model
41–46
accuracy
42
attributes
41–42
boundedness
42
calibration
45–46
energy conservation
42
mass conservation
42
momentum conservation
42
process
45–46
realizability
42
sequencing
45
sources of uncertainty in engineering
42–45
Vortex particle separators
9

Information & Authors

Information

Published In

Go to Computational Fluid Dynamics Modeling in Water Infrastructure
Computational Fluid Dynamics Modeling in Water Infrastructure: Best Practices
Pages: 55 - 57
Editor: Yovanni A. Cataño-Lopera, Ph.D., P.E., D.WRE
ISBN (Online): 978-0-7844-8512-5

History

Published online: Oct 3, 2023

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