Plugin WindLab SimulatedCorrelationTool

Simulated Correlation Tool Plugin
Description
This plugin computes the temporal correlation the simulated wind velocities. Plugin version: 1.0 Last modified: 15/01/2025 LabRPS version: All Author: Koffi Daniel
Author
Koffi Daniel
Download
None
Features
Simulated Correlation Tool
Plugin Version
1.0
Date last modified
15/01/2025
LabRPS Version(s)
All
Default shortcut
None
See also
None

Introduction

This plugin computes the temporal correlation the simulated wind velocities.

Simulated Correlation Tool

This is the only RPS feature that the plugin implements. It belongs to the table tool group. This feature uses the simulated wind velocity to compute the temporal correlation. Therefore, you need to make sure you simulate random wind velocity first. You can also import the wind velocity from file. Note that if you use the mouse (GUI mode) to run this feature, you have to make sure the active window is the window containing the wind velocity data for which you want to compute the temporal correlation.

Properties

• DatafftPointsNumber: This number of DFT points used during the computation.

Scripting

import LabRPS
import WindLabObjects
import WindLabGui
import WindLab
import GeneralToolsGui

# Before you run this macro, simulation must be run and there  must be a table containing the simulated wind velocities.
def checkResult():
    # Install the correlation checking tool
    installResuslt = WindLab.installPlugin("SimulatedCorrelationToolPlugin")
    if not installResuslt:
        LabRPS.Console.PrintError("The installation of the simulated Correlation tool Plugin has failed.\n")
        return None

    # Get the active simulation which as this time has been run already.   
    sim = WindLabGui.getActiveSimulation()

    # get the simulation data as list assuming that a wind simulation is run and 
    # the result is shown in an AlphaPlot table called "table". Please, edit this table name
    # according to the name of the table where your simulated data are stored.
    velocities = GeneralToolsGui.GeneralToolsPyTool.getTableByName("table")

    # create the correlation checking tool
    simulatedCor = WindLabObjects.makeFeature("simulatedCor", sim.Name,  "Simulated Correlation Tool", "Table Tool")
    
    # check if the created tool is good
    if not simulatedCor:
        LabRPS.Console.PrintError("The creation of the table tool was not successuful.\n")
        return None

    # run the tool
    sim.setActiveFeature(simulatedCor)        
    simulatedCorRest = sim.tableToolCompute(velocities)

    # if we are in Gui mode, show plots
    if LabRPS.GuiUp:

        # LabRPS plot 
        # GeneralToolsGui.GeneralToolsPyTool.tablePlotCurve(len(simulatedCorRest), len(simulatedCorRest[0]), simulatedCorRest, 0, 1)    
       
        # Python plot
       
        import numpy
        import matplotlib.pyplot as plt
        # convert the list to numpy array
        array = numpy.asarray(simulatedCorRest)
        locationJ = sim.LocationIndexJ + 1
        locationK = sim.LocationIndexK + 1
        str1 = "{:d}".format(locationJ)
        str2 = " and {:d}".format(locationK)
        str = "Correlation between Locations " + str1 + str2
        fig, ax = plt.subplots()
        ax.set_title(str)
        ax.plot(array[:,0], array[:,1], color='red')
        ax.set_xlabel('Time Lags (s)')
        ax.set_ylabel('Correlation')
        # ax.grid(True)
        plt.show()

checkResult()