Author: Krishnendu G S
Introduction
In CFD simulations, specifying turbulence variables at the inlets is often a challenge due to the uncertainty in the exact nature of incoming turbulence. Instead of directly estimating these complex turbulence properties, it is often more practical to use intuitive parameters such as turbulent intensity, turbulent length scale, or eddy viscosity ratio, which can be more easily related to the physical characteristics of the problem. The turbulent length scale helps in estimating the properties, but it must be chosen carefully. If it’s too large, it suggests eddies bigger than the problem itself; if too small, turbulence energy dissipates too quickly. Similarly, the eddy viscosity ratio is particularly useful in low-turbulence cases where estimating a characteristic turbulent length scale is challenging. For internal flows, it is often better to estimate the turbulent length scale. Because each of these parameters serves a different purpose and is more suitable for specific flow conditions, there is no universal method to compute all turbulence variables at once, unlike simpler fluid parameters. Instead, estimating turbulence properties step by step ensures consistency with the CFD model while maintaining physical relevance. This calculator provides a structured approach, allowing you to compute the necessary parameters based on the most appropriate inputs for your specific case.
Calculation of Turbulence Properties
To determine the required turbulence properties, this calculator uses a set of well-established equations and estimations. The following sections explain the key equations used in the calculator:
Turbulent intensity (
)
Turbulent intensity is a dimensionless measure of the fluctuations in velocity within a turbulent flow, expressed as a percentage of the mean flow velocity. It provides insight into the level of turbulence in a given flow field.
where u′ is the root-mean-square (RMS) of velocity fluctuations, and U is the mean velocity of the flow.
Typical estimations of turbulence intensity
- Low-Turbulence Case:
- Observed in flows originating from stationary fluids, such as external flow around cars, submarines, and aircraft.
- High-quality wind tunnels can also achieve very low turbulence levels.
- Typical turbulence intensity: well below 1%.
- Medium-Turbulence Case:
- Found in moderately complex devices like large pipes, ventilation systems, and low-speed flows (low Reynolds number).
- Typical turbulence intensity: 1% – 5%.
- High-Turbulence Case:
- Occurs in high-speed flows within complex geometries, such as heat exchangers and rotating machinery (e.g., turbines and compressors).
- Typical turbulence intensity: 5% – 20%.
- Fully Developed Pipe Flow:
- For fully developed duct flow, the turbulence intensity at the core can be estimated using the empirical relation
where Re is the Reynolds number based on the pipe’s hydraulic diameter.
Turbulent length scale (
)
The turbulent length scale represents the size of the largest eddies in a turbulent flow. It defines the scale at which energy-containing eddies transfer energy to smaller eddies in the turbulence cascade.
Some of the commonly used methods for defining the length scale are outlined below:
- Classical Definition (Based on classical book on Turbulence Modeling by Wilcox):
- Mixing Length Model (used in Fluent and OpenFOAM):
- Dimensional Definition (used in CFX):
where C is an empirical constant (typically 0.09), k is the turbulent kinetic energy, and
is the turbulent dissipation rate.
Estimating the Turbulent Length Scale
- Turbine Inlet (Complex Flow Geometries):
- At the inlet to a turbine stage or other complex geometries, the turbulent length scale is commonly set as a percentage of the channel height.
- A typical value is around 5% of the channel height.
- Grid-Generated Turbulence (Flow Inside Computational Grid):
- In cases of grid-generated turbulence, the turbulent length scale is often set to be close to the size of the grid bars.
- Fully Developed Pipe Flow (Internal Flow):
- For pipe flow, the turbulent length scale can be estimated using the hydraulic diameter (
).
- In fully developed pipe flow, the turbulence length scale is approximately 3.8% of the hydraulic diameter:
- For turbulence models based on the mixing-length approach (e.g., Fluent, Openfoam), this becomes 7% of the hydraulic diameter:
- For pipe flow, the turbulent length scale can be estimated using the hydraulic diameter (
Turbulent Kinetic Energy (
)
Turbulent kinetic energy represents the average kinetic energy per unit mass associated with eddies in a turbulent flow. It is physically characterized by the root-mean-square (RMS) velocity fluctuations. It is defined as:
where ,
, and
are the turbulent velocity fluctuations in each direction (m/s).
In CFD simulations, turbulence intensity () is commonly used to estimate the initial condition for turbulent kinetic energy (k).
where U is the initial velocity, and is the initial turbulence intensity (%).
Using length scale and eddy viscosity ratio:
- Classical Definition (Based on classical book on Turbulence Modeling by Wilcox):
- Mixing Length Model (used in Fluent and OpenFOAM):
- Dimensional Definition (used in CFX):
where C is an empirical constant (typically 0.09),
is the density,
is the molecular dynamic viscosity,
is the viscosity ratio, and
is the turbulent length scale.
Turbulent Dissipation Rate (
)
The turbulence dissipation rate represents the rate at which turbulent kinetic energy is converted into thermal energy due to viscous effects. It is given by:
Using length scale:
- Classical Definition (Based on classical book on Turbulence Modeling by Wilcox):
- Mixing Length Model (used in Fluent and OpenFOAM):
- Dimensional Definition (used in CFX):
Using eddy viscosity ratio:
where C is an empirical constant (typically 0.09), k is the turbulent kinetic energy,
is the turbulent length scale,
is the density,
is the molecular dynamic viscosity, and
is the viscosity ratio.
Specific Turbulence Dissipation Rate or Turbulence frequency (
)
The specific turbulence dissipation rate represents the rate at which turbulent kinetic energy is dissipated into thermal internal energy per unit volume and time.
It is defined as:
Using length scale:
- Classical Definition (Based on classical book on Turbulence Modeling by Wilcox):
- Mixing Length Model (used in Fluent and OpenFOAM):
- Dimensional Definition (used in CFX):
Using eddy viscosity ratio:
where C is an empirical constant (typically 0.09),
is the turbulent dissipation rate, k is the turbulent kinetic energy,
is the turbulent length scale,
is the density,
is the molecular dynamic viscosity, and
is the viscosity ratio.
Eddy Viscosity Ratio or viscosity ratio (
)
The eddy viscosity ratio represents the ratio of turbulent viscosity () to molecular dynamic viscosity (
), indicating the dominance of turbulent effects over molecular viscosity in a given flow.
The turbulent viscosity is given by:
The turbulent viscosity ratio is:
where is a turbulence model constant which usually has a value of 0.09, k is the turbulent kinetic energy,
is the density,
is the molecular dynamic viscosity,
is the turbulent dissipation rate, and
is the specific turbulence dissipation rate.
References
[1] Versteeg, H. K. (2007). An introduction to computational fluid dynamics the finite volume method, 2/E. Pearson Education India.
[2] CFD-Online Turbulence length scale
[3] (2025) ANSYS Fluent 2025 R1, “User Guide”.
[4] ANSYS, Inc. “ANSYS CFX-Solver Modelling guide.” (2025)
[5] OpenCFD Ltd. (2021). OpenFOAM User Guide: Version 2112. OpenCFD Ltd. https://www.openfoam.com/documentation/user-guide/
Contact us
If you are interested in consultancy services, please write to us with your requirements. We will get back to you and arrange an online Teams/Zoom meeting to discuss this further. Either fill out the form below or email us at consult@flowthermolab.com. Please note that we offer consultancy services only for industries (B2B) and not for individuals or students.
Our CFD Courses
Interested in learning Computational Fluid Dynamics, Programming, and the Finite Element Method? Explore our courses!
CFD Foundation Course
The first course in CFD to build a strong foundation in theory, coding, and CFD Tools.
Ansys Fluent Beginners to Advanced Level
A comprehensive course to gain a strong grip on the CFD tool, ANSYS Fluent
OpenFOAM for Beginners
The beginner's course to learn and master the most popular open-source CFD tool.
Scientific Computing with C++ : Part1
Learn C++ from scratch to the advanced level for scientific programming
Introduction to FSI
The beginner's course to learn and master the most popular open-source CFD tool.
Introduction to Finite Element Method
A course to learn the fundamentals of the Finite Element Method
Scientific Computing with Python
Learn Python from scratch to the advanced level for scientific programming
Scientific Computing with C++ : Part2
Learn C++ for scientific computing with advanced features
StarCCM+ for a Beginner
This is a beginner's course to learn and master one of the most popular and demanding CFD Tools in the…
Fluid Dynamics for CFD: Part1
Learn the fundamentals of fluid dynamics from a practical perspective
UDF, User defined function (ANSYS Fluent)
Learn UDF & C programming and be a Pro to customize ANSYS Fluent
ML/AI for Fluid Dynamics: A comprehensive training
11 days live workshop on ML and AI of Fluid dynamics in Collaboration with the University of Michigan by Prof. Ricardo Vinuesa
Fundamentals and CFD of Aero-Acoustics
7 days live workshop over weekends to learn High-speed aerodynamics: Theory, Implementation and Hands-on Problems
AI/ML for Fluids Dynamics: An online course
Learn AI/ML for fluid dynamics in a practical way
OpenFOAM- Rotating machine
OpenFOAM rotating machinery course covering MRF, AMI, and CFD workflows. Live sessions, practical examples, and expert guidance included