14.3.11. Open Channel Wave Boundary Conditions

Open channel wave boundary conditions allow you to simulate the propagation of regular/irregular waves, which is useful in the marine industry for analyzing wave kinematics and wave impact loads on moving bodies and offshore structures.

Small amplitude wave theories are generally applicable to lower wave steepness and lower relative height, while finite amplitude wave theories are more appropriate for either increasing wave steepness or increasing relative height. Wave steepness is generally defined as the ratio of wave height to wave length, and relative height is defined as the ratio of wave height to the liquid depth.

Ansys Fluent provides the following options for incoming surface gravity waves through velocity inlet boundary conditions:

  • First order Airy wave theory, which is applied to small amplitude waves in shallow to deep liquid depth ranges, and is linear in nature.

  • Higher order Stokes wave theories, which are applied to finite amplitude waves in intermediate to deep liquid depth ranges, and are nonlinear in nature.

  • Higher order Cnoidal/Solitary wave theories, which are applied to finite amplitude waves in shallow depth ranges, and are nonlinear in nature.

  • Superposition of linear waves, which is used to generate various physical phenomena such as interference, betas, standing waves, and irregular waves.

  • Long/Short-crested wave spectrums, which are used for modeling nonlinear random waves in intermediate to deep liquid depth ranges based on a wave energy distribution function.

Short gravity wave expressions for each wave theory are based on infinite liquid height, whereas shallow or intermediate wave expressions are based on finite liquid height.

The wave height is defined as follows:

(14–49)

where is the wave amplitude, is the wave amplitude at the trough, and is the wave amplitude at the crest. For linear wave theory, and for nonlinear wave theory, .

The wave number () is:

(14–50)

where is the wave length.

The vector form for the wave number is

(14–51)

where is the reference wave propagation direction, is the direction opposite to gravity and is the direction normal to and . The wave numbers in the and directions are defined by Equation 14–52 and Equation 14–53, respectively:

(14–52)

(14–53)

is the wave heading angle, which is defined as the angle between the wavefront and reference wave propagation direction, in the plane of and .

The effective wave frequency is defined as

(14–54)

where is the wave frequency and is the averaged velocity of the flow current. The effects of a moving object could also be incorporated with the flow current when the flow is specified relative to the motion of the moving object.

The wave speed or celerity is defined as

(14–55)

The final velocity vector for incoming waves obtained by superposing all the velocity components is represented as:

(14–56)

where , , and are the velocity components of the surface gravity wave in the , , and directions, respectively.

The variable is used in all of the wave theories and is defined as:

(14–57)

and are the space coordinates in the and directions, respectively, is the phase difference, and is the time.

14.3.11.1. Airy Wave Theory

The wave profile for a linear wave is given as

(14–58)

where is as define as above in Open Channel Wave Boundary Conditions.

The wave frequency is defined as follows for shallow/intermediate waves:

(14–59)

and as follows for short gravity waves:

(14–60)

where is the liquid height, is the wave number, and is the gravity magnitude.

The velocity components for the incident wave boundary condition can be described in terms of shallow/intermediate waves and short gravity waves.

Velocity Components for Shallow/Intermediate Waves

(14–61)

(14–62)

Velocity Components for Short Gravity Waves

(14–63)

(14–64)

where is the height from the free surface level in the direction , which is opposite to that of gravity. For more information on how to use and set up this model, refer to Modeling Open Channel Wave Boundary Conditions in the User’s Guide.

14.3.11.2. Stokes Wave Theories

Fluent formulates the Stokes wave theories based on the work by John D. Fenton[174]. These wave theories are valid for high steepness finite amplitudes waves operating in intermediate to deep liquid depth range.

The generalized expression for wave profiles for higher order Stokes theories (second to fifth order) is given as

(14–65)

The generalized expression for the associated velocity potential is given as

(14–66)

Where,

(14–67)

is referred to as wave steepness.

= wave theory index (2 to 5: From 2nd order Stokes to 5th order Stokes respectively).

Wave celerity, is given as

(14–68)

For 2nd order Stokes, . (Therefore, 2nd order Stokes uses the same dispersion relation as used by first order wave theory.) For 3rd and 4th order Stokes, .

= complex expressions of as discussed in [174].

Wave frequency, , is defined as

(14–69)

Velocity components for surface gravity waves are derived from the velocity potential function.

(14–70)

(14–71)

(14–72)

14.3.11.3. Cnoidal/Solitary Wave Theory

Fluent formulates the Cnoidal/Solitary wave theories that are expressed using complex Jacobian and elliptic functions based on the work by John D. Fenton (1998) [175]. The cnoidal solution displays long flat troughs and narrow crests of real waves in shallow waters. In the limit of infinite wavelength, the cnoidal solution describes a solitary wave as a wave with a single hump, having no troughs. Due to the complexity of the cnoidal wave theories, solitary wave theories are more widely used for shallow depth regimes.


Note:  For simplicity, the higher order terms, which are functions of relative height, have been omitted from the numerical details below. Refer to the work of John D. Fenton [175] for detailed numerical expressions.


The elliptic function parameter, , is calculated by solving the following nonlinear equation:

(14–73)

Trough height from the bottom, , is derived from the following relationship:

(14–74)

Wave number, , is defined as:

(14–75)

Wave celerity, , is defined as:

(14–76)

Wave frequency, , is defined as:

(14–77)

The wave profile for a shallow wave is defined as:

(14–78)

Where is defined as:

(14–79)

where is the translational distance from reference frame origin in the direction.

Velocity components for the fifth order wave theories are expressed as:

(14–80)

(14–81)

(14–82)

where are the numerical coefficients mentioned in the reference [175].


Note:  Solitary wave theory expressions are derived by assuming that the waves have infinite wave length. Based on this assumption we get:


14.3.11.4. Choosing a Wave Theory

Applying linear versus nonlinear wave theories to shallow waves is limited by the Ursell number. For nonlinear waves, the Ursell number criterion is based on waves being single-crested, without producing any secondary crests at the trough. Wave theories should be chosen in accordance with wave steepness and relative height, as waves try to acquire a nonlinear pattern with increasing wave steepness or relative height. Second and fourth order wave theories are more prone to produce secondary crests. Choosing the correct wave theory for a particular application depends on the input parameters within the wave breaking and stability limit, as described below:

  • Mandatory Check for Complete Wave Regime within Wave Breaking Limit

    The wave height to liquid depth ratio (relative height) within the wave breaking limit is defined as:

    (14–83)

    (14–84)

    The wave height to wave length depth ratio (wave steepness) within the breaking limit is defined as:

    (14–85)

    (14–86)

  • Check for Wave Theories within Wave Breaking and Stability Limit

    For this check, the wave type is represented with the appropriate wave theory in the following manner:

    • Linear Wave: Airy Wave Theory

    • Stokes Wave: Fifth Order Stokes Wave Theory

    • Shallow Wave: Fifth Order Cnoidal/Solitary Wave Theory

    Checks for wave theories between second to fourth order are performed between linear and fifth order Stokes wave.

    • Wave Regime Check

      The liquid height to wave length ratio for short gravity waves is defined as:

      (14–87)

      For Stokes waves the ratio is defined as:

      (14–88)

      For shallow waves, the ratio is defined as:

      (14–89)

    • Wave Steepness Check

      The wave height to wave length ratio for linear waves is defined as:

      (14–90)

      For Stokes waves the ratio is defined as:

      (14–91)


      Note:  Stokes waves are generally stable for a wave steepness below 0.1. Waves may be either stable or unstable in the range of 0.1 to 0.12. Waves are most likely to break at wave steepness values above 0.12.


      For shallow waves, the ratio is defined as:

      (14–92)

    • Relative Height Check

      The wave height to liquid depth ratio for a linear wave is defined as:

      (14–93)

      For Stokes wave in shallow regime the ratio is defined as:

      (14–94)


      Note:  Stokes waves are generally stable for a relative height below 0.4. Waves are most likely to break at a relative height above 0.4.


      For shallow waves, the ratio is defined as:

      (14–95)

    • Ursell Number Stability Criterion

      The Ursell number is defined as:

      (14–96)

      The Ursell number stability criterion for a linear wave is defined as:

      (14–97)

      The criterion for Stokes wave in shallow regime is defined as:

      (14–98)


      Note:  Stokes waves are generally stable for .

      Ursell numbers between 10 and 26 represent the transition to a shallow regime, therefore Stokes waves could be unstable. Stokes waves are more applicable in intermediate and deep liquid depth regimes.


      The criterion for shallow waves is defined as:

      (14–99)

14.3.11.5. Superposition of Waves

The principle of superposition of waves can be applied to two or more waves simultaneously passing through the same medium. The resultant wave pattern is produced by the summation of wave profiles and velocity potentials of the individual waves. Depending on the nature of the superposition, the following phenomena are possible:

  • Interference: Superposition of waves of the same frequency and wave heights, travelling in the same direction. Constructive interference occurs in cases of waves travelling in the same phase, while destructive interference occurs in cases of waves travelling in opposite phases.

  • Beats/Wave Group: Superposition of waves of same wave heights travelling in the same direction with nearly equal frequencies. The beats are generated by increase/decrease in the resultant frequency of the waves over time.

    For marine applications, this concept of wave superposition is known as a Wave Group. In a wave group, packets (group) of waves move with a group velocity that is slower than the phase speed of each individual wave within the packet.

  • Stationary/Standing Waves: Superposition of identical waves travelling in opposite directions. This superposition forms a stationary wave where each particle executes simple harmonic motion with the same frequency but different amplitudes.

  • Irregular Waves: Superposition of waves with different wave heights, frequencies, phase differences, and direction of propagation. Irregular sea waves are quite common in marine applications, and can be modeled by superimposing multiple waves.


Note:  The superposition principle is only valid for linear and small-amplitude waves. Superposition of finite amplitude waves may be approximate or invalid because of their nonlinear behavior and dependency of the wave dispersion on wave height.


14.3.11.6. Modeling of Random Waves Using Wave Spectrum

Random waves on the sea surface are generated by the action of the wind over the free surface. The higher the wind speed, the longer the wind duration, and the longer the distance over which the wind blows (fetch), the larger the resulting waves. You can simulate random wave action for open channel wave boundary conditions by specifying a wave spectrum that describes the distribution of energy over a range of wave frequencies. Fluent provides several formulations for wave spectra based on wind speed, direction, duration, and fetch.

14.3.11.6.1. Definitions
Fully Developed Sea State

When the wind blown over the sea imparts its maximum energy to the waves, the sea is said to be fully developed. This means that the sea state is independent of the distance over which the wind blows (fetch) and the duration of the wind. Sea elevation can be assumed as statistically stable in this case.

The sea state is often characterized by the following parameters which can be estimated from the wind speed and fetch:

Significant Wave Height (Hs)

Mean wave height of the largest 1/3 of waves.

Peak Wave Frequency (ωp) or Period

The frequency or period corresponding to the highest wave energy.

Long-Crested Sea

If the irregularity of the observed waves are only in the dominant wind direction, such that there are mainly unidirectional waves with different amplitudes but parallel to each other, the sea is referred to as a long-crested irregular sea.

Short-Crested Sea

When irregularities are apparent along the wave crests in multiple directions, the sea is referred to as short-crested.

14.3.11.6.2. Wave Spectrum Implementation Theory
14.3.11.6.2.1. Long-Crested Random Waves (Unidirectional)

Long-crested random wave spectrums are unidirectional and are a function of frequency only.

Ansys Fluent provides the following wave frequency spectrum formulations:

14.3.11.6.2.1.1. Pierson-Moskowitz Spectrum

The Pierson-Moskowitz spectrum is valid for a fully developed sea and assumes that waves come in equilibrium with the wind over an unlimited fetch [3].

(14–100)

where: 
  = Wave frequency
  = Peak wave frequency
  = Significant Wave Height

14.3.11.6.2.1.2. JONSWAP Spectrum

The JONSWAP spectrum is a fetch-limited version of the Pierson-Moskowitz spectrum in which the wave spectrum is considered to continue to develop due to nonlinear wave-wave interactions for a very long time and distance. The peak in the wave spectrum is more pronounced compared to the Pierson-Moskowitz spectrum [3].

(14–101)

where: 
  = Pierson-Moskowitz spectrum
  = Wave frequency
  = Peak wave frequency
  = Peak shape parameter
 
  = Spectral width parameter
 

14.3.11.6.2.1.3. TMA Spectrum

The TMA spectrum is a modified version of the JONSWAP wave spectrum that is valid for finite water depth [3].

(14–102)

is a depth function given by:

(14–103)

k is the wave number calculated from the dispersion relation

where g is the magnitude of gravity and h is the liquid depth.

14.3.11.6.2.2. Short-Crested Random Waves (Multi-Directional)

Short-crested random waves are multidirectional and are a function of both frequency and direction. The short-crested wave spectrum is expressed as:

(14–104)

where: 
  = Frequency spectrum
  = Directional spreading function

The following equation must be satisfied:

which imposes the following condition on the spreading function:

where: 
 
 
  = Principal (mean) wave heading angle
  = Angular spread from

Ansys Fluent offers two options for specifying the directional spreading function,

14.3.11.6.2.2.1. Cosine-2s Power Function (Frequency Independent)

In the cosine-2s power function formulation, the directional spreading function, , is frequency independent and is given by:

(14–105)

where: 
 

 

= positive integer between 1 and n

 

14.3.11.6.2.2.2. Hyperbolic Function (Frequency Dependent)

In the hyperbolic function formulation, the directional spreading function, , is frequency dependent and is given by:

(14–106)

in which:

14.3.11.6.2.3. Superposition of Individual Wave Components Using the Wave Spectrum

Series of individual wave components are generated for the given frequency range and angular spread. These are then superposed using linear wave theory.

Figure 14.4: Typical Wave Spectrum

Typical Wave Spectrum

For each wave component, the amplitude is calculated from:

(14–107)

The final wave profile after superposing all the individual wave components is given by:

(14–108)

where: 
  = Number of frequency components
  = Number of angular components
  = Amplitude of individual wave component
 

  = Wave number for nth frequency component
  = Heading angle for the mth angular component
  = Random phase difference uniformly distributed between 0 and 2π

14.3.11.6.3. Choosing a Wave Spectrum and Inputs

The wave spectrum is represented by a wave energy distribution function characterized by two basic inputs: Significant Wave Height () and Peak Angular Frequency (). In addition, you will enter the minimum and maximum wave frequencies ( and ) and the number of frequencies at which to evaluate the spectrum. You should select the frequency range in such a way that most of the wave energy is contained in the specified range. In general, the recommended frequency range is:

Minimum Angular Frequency,
Maximum Angular Frequency,

When choosing the spectrum and input values, it is important to analyze and consider various parameters of the resulting waves. Fluent can compute various metrics based on your inputs and assess whether the chosen spectrum and parameters are appropriate. The metrics that are computed are detailed below.

Estimation of Wave Lengths

The wave length is given by

where is the wave number which is calculated from the following relationships:

For intermediate depth: ,
For short gravity waves: ,

Thus,

Minimum wave length:
Maximum wave length:
Peak wave length:

Estimation of Time Periods

The peak time period is given by

The mean time period and the zero-upcrossing time periods are approximated as follows.

Mean time period:
Zero upcrossing period:

where is the peak shape parameter.

Wave Regime Check

For the short gravity wave assumption, you should ensure that:

In general, the TMA spectrum is appropriate for intermediate depth, while the JONSWAP and Pierson-Moskowitz spectrums are valid under the short gravity wave assumption.

Relative Height Check

For the intermediate/deep treatment to be valid, the relative height should satisfy:

Sea Steepness Check

The sea steepness is computed in two ways:

based on peak time period

based on zero-upcrossing time period

and compared with limiting relations for each method:

Estimation of Peak Shape Parameter

The peak shape parameter, is estimated by:


Note:  For , the JONSWAP spectrum reduces to the Pierson-Moskowitz spectrum.


14.3.11.7. Nomenclature for Open Channel Waves

Symbol

Description

Reference wave propagation direction

direction normal to and

Direction opposite to gravity

Wave Height

Significant Wave Height

Wave Steepness

Wave Amplitude

Liquid Height

Trough Height

Peak Shape Parameter

Wave Length

Wave Heading Angle

Wave Number

Wave Number in the direction

Wave Number in the direction

Wave Celerity

Wave Frequency

Effective Wave Frequency

Peak Wave Frequency

Elliptical Function Parameter

Complete Elliptical Integral of the First Kind

Complete Elliptical Integral of the Second Kind

, ,

Jacobian Elliptic Functions

Spatial coordinate in the direction

Spatial coordinate in the direction

Spatial coordinate in the direction

Translational distance from reference frame origin in the direction

Velocity Potential

Averaged velocity of flow current

Velocity components for surface gravity waves in the , , and directions, respectively.