Turbulence Chapter 4: Laminar-turbulent Transition Modeling
This chapter addresses the physical mechanisms governing laminar–turbulent transition and the challenges of modeling transition within the RANS framework. Different transition routes are introduced from a physical perspective, followed by a discussion of why traditional turbulence models fail to capture transition. Modern RANS-compatible transition models are then described, focusing on intermittency-based and laminar kinetic energy approaches used in industrial CFD.
Why Transition Matters in Engineering CFD
Most engineering flows operate at Reynolds numbers where:
Boundary layers are neither fully laminar nor fully turbulent
Large portions of surfaces may remain laminar
Transition strongly affects:
Wall shear stress (drag)
Heat transfer rates
Separation and reattachment
Losses in turbomachinery
Aerodynamic efficiency of airfoils and blades
Assuming “fully turbulent everywhere” often:
Overpredicts drag and heat transfer
Suppresses laminar separation bubbles
Produces incorrect pressure distributions
What Is Laminar–Turbulent Transition
Transition is the progressive breakdown of an initially laminar flow into turbulence.
Key characteristics:
It is not instantaneous
It occurs over a finite spatial region
Flow alternates between laminar and turbulent states locally
The flow in this region is called transitional, and its properties differ significantly from both laminar and turbulent limits.
Routes to Transition
Three main physical routes to transition are identified.
4.1 Natural Transition
Occurs when:
Free-stream turbulence is very low
Flow instabilities grow from small disturbances
Mechanism:
Small-amplitude waves (Tollmien–Schlichting waves) amplify downstream
Flow becomes three-dimensional
Turbulent spots form and merge
Key features:
Strongly Reynolds-number dependent
Sensitive to surface quality and pressure gradients
Long transition length
Natural transition is typical of:
External aerodynamics
Wind turbine blades
Aircraft wings in clean environments
4.2 By-Pass Transition
Occurs when:
Free-stream turbulence is moderate to high
External disturbances penetrate the laminar boundary layer
Mechanism:
Free-stream fluctuations generate streaks via lift-up mechanism
Instabilities bypass classical linear instability stages
Transition occurs much earlier
Characteristics:
Shorter transition region
Weaker Reynolds-number dependence
Strong sensitivity to turbulence intensity and length scales
Typical in:
Turbomachinery
Internal flows
Flows with upstream wakes
4.3 Separation-Induced Transition
Occurs when:
Laminar boundary layer separates under adverse pressure gradient
Mechanism:
Laminar separation creates a free shear layer
Shear-layer instabilities rapidly grow
Turbulence forms during or shortly after reattachment
Features:
Very rapid transition
Strong coupling with separation dynamics
Large impact on pressure losses
Common in:
Low-pressure turbine blades
Wind turbine suction sides
Compressor cascades
Why Standard RANS Models Cannot Predict Transition
Conventional RANS models assume:
Fully developed turbulence
Continuous turbulence production
No laminar regime
As a result:
Turbulence is artificially generated at the leading edge
Laminar regions cannot exist
Transition location is not predicted, only imposed
This motivates special transition models, not just modified turbulence closures.
Modeling Transition Within RANS
Transition modeling must satisfy:
Local formulation (no boundary-layer integration)
Compatibility with unstructured meshes
Ability to handle different transition routes
Robustness in complex geometries
This excludes:
eⁿ stability methods
Non-local correlation-based approaches
Boundary-layer marching techniques
Intermittency Concept
A key idea in transition modeling is intermittency.
Intermittency represents:
The fraction of time a flow behaves turbulently at a given location
Interpretation:
Intermittency = 0 → fully laminar
Intermittency = 1 → fully turbulent
0 < intermittency < 1 → transitional flow
Engineering quantities are obtained by blending laminar and turbulent behavior based on intermittency.
Transport-Based Intermittency Models
Modern transition models solve:
A transport equation for intermittency
One or more auxiliary equations to trigger transition onset
This approach:
Avoids non-local operations
Works on unstructured grids
Is compatible with parallel solvers
The intermittency variable locally suppresses or activates turbulence production in the RANS equations.
Transition SST Model
9.1 Core Idea
The Transition SST model combines:
SST k–ω turbulence model
Intermittency transport equation
Transition onset criterion based on empirical correlations
Transition onset depends on:
Free-stream turbulence intensity
Pressure gradient
Boundary layer history
9.2 Local Formulation via Vorticity Reynolds Number
Instead of boundary-layer thickness:
A vorticity-based Reynolds number is computed everywhere
Its maximum inside the boundary layer correlates with transition onset
This allows:
Fully local evaluation
Use in complex 3D geometries
9.3 Separation-Induced Transition Treatment
Special corrections allow:
Rapid turbulence growth after laminar separation
Correct prediction of laminar separation bubbles
Without this correction:
Reattachment is often predicted too far downstream
Intermittency Transition Model
This model:
Uses a single intermittency equation
Relies entirely on empirical correlations
Avoids transport of transition Reynolds number
Advantages:
Simpler formulation
Can predict crossflow transition
Limitations:
Strong dependence on calibration database
Less physically transparent than SST-based approach
Laminar Kinetic Energy (k–kₗ–ω) Model
This approach introduces:
A transport equation for laminar kinetic energy
Represents pre-transitional fluctuations
Physical idea:
Free-stream turbulence induces velocity fluctuations in laminar boundary layers
These fluctuations grow until turbulence develops
Advantages:
More physics-based
Good for bypass transition
Limitations:
Less robust
More sensitive to inlet turbulence specification
Practical Mesh and Modeling Requirements
Transition models require:
Near-wall resolution (typically y⁺ < 1)
Smooth wall-normal mesh expansion
Accurate inlet turbulence specification
Poor mesh quality:
Can shift transition location dramatically
Can suppress laminar separation bubbles
Transition modeling is more sensitive to mesh and BCs than turbulence modeling.
Engineering Intuition
Transition controls where turbulence starts
Turbulence models control how turbulence behaves
Separation-induced transition is often the dominant mechanism in practice
Fully turbulent simulations can miss key physics
A useful rule:
If separation or heat transfer matters, transition modeling matters.
Study Priorities
If short on time, focus on:
Physical routes to transition
Intermittency concept
Why RANS cannot predict transition by itself
Differences between Transition SST and k–kₗ–ω
Sensitivity to mesh and inlet turbulence
Key Takeaways
Transition is a finite, spatial process.
Three main routes: natural, bypass, separation-induced.
Standard RANS assumes fully turbulent flow.
Intermittency enables RANS-based transition modeling.
Transition SST is the industrial workhorse.
Mesh quality and inlet turbulence are critical.

