Model:TURBINS

TURBINS

Also known as
Model type	Modular
Model part of larger framework
Note on status model
Date note status model

Incorporated models or components:

Spatial dimensions	2D, 3D
Spatial extent	Patch-Scale
Model domain
One-line model description	An immersed boundary, Navier–Stokes code for the simulation of gravity and turbidity currents interacting with complex topographies.
Extended model description	TURBINS, a highly parallel modular code written in C, is capable of modeling gravity and turbidity currents interacting with complex topographies in two and three dimensions. Accurate treatment of the complex geometry, implementation of an efficient and scalable parallel solver, i.e. multigrid solver via PETSc and HYPRE to solve the pressure Poisson equation, and parallel IO are some of the features of TURBINS. TURBINS enables us to tackle problems involving the interaction of turbidity currents with complex topographies. It provides us with a numerical tool for quantifying the flow field properties and sedimentation processes, e.g. energy transfer, dissipation, and wall shear stress, which are difficult to obtain even at laboratory scales. By benefiting from massively parallel simulations, we hope to understand the underlying physics and processes related to the formation and deposition of particles due to the occurrence of turbidity currents.

Keywords:	turbidity current, numerical simulation, complex topography, polydisperse suspension, sedimentation, parallel computing,

Supported platforms	Linux, Mac OS, Windows
Other platform
Programming language	C
Other program language
Code optimized	Single Processor, Multiple Processors
Multiple processors implemented	Distributed memory
Nr of distributed processors
Nr of shared processors
Start year development	2007
Does model development still take place?	Yes
If above answer is no, provide end year model development
Code development status
When did you indicate the 'code development status'?
Model availability	As code
Source code availability (Or provide future intension)	Through CSDMS repository
Source web address
Source csdms web address	https://github.com/csdms-contrib/turbins
Program license type	GPL v2
Program license type other
Memory requirements	Roughly, 1 GB per 270,000 grid cells.
Typical run time	Day(s)

Describe input parameters	A self-explanatory file "input.inp" should be set before running the code. Flow and particle parameters such as Reynolds number, Peclet number, particle settling velocity(ies) can be set here. Also, number of grid nodes, domain length, output file flags and simulation runtime, etc should be entered.
Input format	ASCII
Other input format
Describe output parameters	Depending on the flags set in the "input.inp" file, flow properties such as velocity, pressure, particle concentration(s), particle deposit mass, bottom shear stress, kinetic and potential energy, dissipation rate, suspended particle mass, current front location, and etc are recorded at the given timesteps.
Output format	ASCII, Binary
Other output format
Pre-processing software needed?	No
Describe pre-processing software
Post-processing software needed?	Yes
Describe post-processing software	A simple C++ code is called to convert raw binary data to "*.vtr" (see VTK format) that can be read by a software called Paraview.
Visualization software needed?	Yes
If above answer is yes	Matlab
Other visualization software	Paraview

Describe processes represented by the model	Any density driven current including particle-laden flows produced by the lock-exchange (or continuous inflow) can be simulated. The flow can interact with any arbitrary topography on the bottom.
Describe key physical parameters and equations	Navier-Stokes equation in Bousinessq approximations: to describe the ambient fluid's motion Transport equation(s): to describe the particle and/or salinity concentration field evolution. Reynolds number, Peclet number, particle settling velocities.
Describe length scale and resolution constraints	The current version is a DNS code, i.e. no turbulence model is incorporated yet. Hence, grid resolution should be carefully treated to resolve all the flow scales. In other words, limited by the computational costs, we are restricted to low Reynolds numbers (O(1,000)-O(10,000)).
Describe time scale and resolution constraints
Describe any numerical limitations and issues

Describe available calibration data sets
Upload calibration data sets if available:
Describe available test data sets
Upload test data sets if available:
Describe ideal data for testing

Do you have current or future plans for collaborating with other researchers?

Is there a manual available?	No
Upload manual if available:
Model website if any
Model forum / discussion board

Comments

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Model info

Authors

Mohamad Nasr-Azadani

Source code

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