Getting Started

Prerequisites

Python 3
NumPy
Matplotlib
SciPy
YAML
MoorPy
PyHAMS
CCBlade

Note: RAFT uses CCBlade and currently is set up for the version of CCBlade that is part of the larger WISDEM code. We recommend installing WISDEM for the time being.

Installation

Download/clone and install the RAFT repository as well as those of MoorPy, pyHAMS, and WISDEM.

To install RAFT for development use:

run `python setup.py develop` or `pip install -e .` from the command line in the main RAFT directory.

To install RAFT for non-development use:

run `python setup.py` or `pip install .` from the command line in the main RAFT directory.

Example

An example script for running RAFT and an example YAML input file describing the VolturnUS-S 15 MW floating wind turbine design is included in the examples folder of the RAFT repository. The script is shown below, illustrating the main function calls involved in running a RAFT analysis.

import raft
import yaml

# open the design YAML file and parse it into a dictionary for passing to raft
with open('VolturnUS-S_example.yaml') as file:
        design = yaml.load(file, Loader=yaml.FullLoader)

# Create the RAFT model (will set up all model objects based on the design dict)
model = raft.Model(design)

# Evaluate the system properties and equilibrium position before loads are applied
model.analyzeUnloaded()

# Compute natural frequencies
model.solveEigen()

# Simule the different load cases
model.analyzeCases(display=1)

# Plot the power spectral densities from the load cases
model.plotResponses()

# Visualize the system in its most recently evaluated mean offset position
model.plot(hideGrid=True)