Macro Deodatis 1996 Wind Simulation Points
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Description |
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This macro create simulation point according to G. Deodatis 1996. Macro version: 1.0 Last modified: 2024-04-15 LabRPS version: All Author: LabRPS |
Author |
LabRPS |
Download |
None |
Links |
How to install macros How to customize toolbars |
Macro Version |
1.0 |
Date last modified |
2024-04-15 |
LabRPS Version(s) |
All |
Default shortcut |
None |
See also |
Macro Deodatis 1996 Mean Wind Profile |
This macro create simulation point according to G. Deodatis 1996. There are three simulation points created with WindLabFeatureLocationDistribution feature.
Simulation Point Distribution
Script
You can find the source code on the following Github repository: Get the code here!
Macro_Deodatis_1996_Wind_Simulation_Points.RPSMacro
# -*- coding: utf-8 -*- # (c) Koffi Daniel 2024 import WindLab import GeneralToolsGui import WindLabObjects from LabRPS import Vector as vec import LabRPS import numpy def compute(): installResuslt = WindLab.installPlugin("WindLabPlugin") doc = LabRPS.ActiveDocument if not doc: doc = LabRPS.newDocument() # create WindLab simulation called "Simulation" sim = WindLabObjects.makeSimulation(doc, "Simulation") # check if the simulation does really exist if not sim: LabRPS.Console.PrintError("The simulation does not exist.\n") # abord the computation featureType = "General Distribution" featureGroup = "Location Distribution" # create the feature and add it to the existing simulation (you may refer to the WindLab Workbench page in # case you don't understand the next line) genSimPoints= WindLabObjects.makeFeature("MyNewFeature", sim.Name, featureType, featureGroup) # check if the created feature is good if not genSimPoints: LabRPS.Console.PrintError("Error on creating the uniform points feature.\n") # abord the computation # create the simulation points by their coordinates v1 = vec(0, 0, 35) v2 = vec(0, 0, 40) v3 = vec(0, 0, 140) # add the points to the locations genSimPoints.Locations = [v1, v2, v3] # compute the simulation points coordinates. WindLab will internally use the "genSimPoints" feature simPoints = sim.computeLocationCoordinateMatrixP3() # now you can convert the coordinate matrix to numpy array and use it for any other purposes arr = numpy.asarray(simPoints) # you can also show the result in a table, pass False as last argument to the function to ask # LabRPS to only show the data without plotting them GeneralToolsGui.GeneralToolsPyTool.showArray(sim.getSimulationData().numberOfSpatialPosition, 4, simPoints, False) compute()