SCHOOL OF PLANNING AND ARCHITECTURE VIJAYAWADA
Aim : To create a 3 - dimensional array of cubes
3D array of cubes : flowchart
Aim : To create an array of rectangles that rotate 90 deg along the middle segment
Aim : To create a parametric portal whose height varies in equal intervals
Aim : To create a parametric portal whose height varies randomly
Aim : To create a parametric portal whose height repeates between two numbers
Aim : To create a dynamic point which moves such that all the circles near the point become smaller
Aim : To create a dynamic point which moves such that all the Attractive point - circles become larger
Aim : To create a facade with movable elements that close as the sun intensity increases and open as it decreases
The facade is made with triangular elements which sinch and move upwards at the centre point
Facade closes according to the location of the sun element
Facade closes opens up when the sun moves away
Aim : To calculate the percentage of visibility that is reduces by placeing obstacles surrounding the field of view
Average visibility of each grid box from every point on the site can also be calculated with the GH script
Aim : To explore the scope of python in improving coding efficiency of grasshopper
Python allows us to extend Grasshopper’s functionality beyond what is provided by its native components. We can write custom scripts to perform complex calculations, automate repetitive tasks, or integrate with external software and libraries.
__author__ = “harsh”
__version__ = “2024.03.18”
import rhinoscriptsyntax as rs import ghpythonlib.components as ghcomp
a= ghcomp.ConstructPoint(x,y,z)
p=[]
for i in range(10): for j in range(5): for k in range (3): pnt = ghcomp.ConstructPoint(i,j,k) p.append(pnt)
In the flowsurface algorithm, the last task of moving the point down by a small distance dz and finding the nearest point on the surface has to be done several number of times; the process would be very elaborate in grasshopper and hence the following python script is used to execute the task :
__author__ = “harsh”
__version__ = “2024.03.18”
import rhinoscriptsyntax as rs import ghpythonlib.components as ghcomp
fpt = []
fpt.append(pt)
dz= ghcomp.VectorXYZ(0,0, -1)[0]
for i in range(iteration): p= fpt[len(fpt)-1] #last point in the list fpt mpt = ghcomp.Move(p,dz)[0] #v is translation vector spt = ghcomp.SurfaceClosestPoint(mpt,srf)[0] fpt.append(spt)
a=spt
__author__ = “kamsa” __version__ = “2024.03.25”
import rhinoscriptsyntax as rs import ghpythonlib.components as ghcomp import math
org=ghcomp.Deconstruct(origin)
pts=[]
step=int(360/count) z=0
In the optimised location algorithm, its very easy to get the smallest average distance value from the grasshopper algorithm, but its very complicated to extract the list item index and the position of the optimised location point; this task is done by the following python script :
__author__ = “harsh” __version__ = “2024.04.01”
import rhinoscriptsyntax as rs import math
T = min(t)
Tidx = t.index(T)
print t,”,”,Tidx
L = f.pop(Tidx) print L
tsorted = sorted(t) print tsorted
Aim : To find the optimal location to place a new point such that it is near to all the existing points
Boundary of site and location of existing buildings
the rectangular grid
GH script
Aim : To optimise the efficiency of the algoritm running the algorithm only for points which have more probablity of being the optimised location
Sine curve in 2D
Z - parametre for sine curve in 3D
Double curve Loft
GH script
Aim : To explore the scope of Ladybug for climatic analysis
An annual monthly chart comparing values of Dry bulb temperature, Relative humidity and wind direction
Ladybug tool imports weather data of any available location from an online https://www.ladybug.tools/epwmap/
Ladybug weather data can be used to prepare several types of graphs with respect to parametres of temperature, humidity, sun radiance etc.
The data output from ladubug can be used for accurate site analysis and for developing initial design concepts.
Ladybug tools enable architects to perform comprehensive environmental analysis early in the design process, facilitating the creation of sustainable and environmentally responsve buildings.
Wind rose charts comparing the wind dpeed and direciton with various other parametres like Dry bulu temperature and Relative Humidity
Shows the realistic sunpath surrounding the building and its context; it also gives additional data such as horizontal radiation.
Skymask : it shows the percentage of sky visible from the site chosen; the surrounding context should also be accurately defined to execute this function.
