Computer Aided Design and Simulation
Varsha Prasanna Kumar
An array of a single volume was created along all three axes. The number of repetitions could be varied up to infinity as per the design.
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A curved surface was created using different reference points on a set curve. The size and randomness of the loft surface could be controlled as per the design.
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Tools Learnt: Divide, Randomise, Loft, Custom Preview
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Frame
As an extension to the previous exercise, the arcs were divided and a multiple pipe framework was constructed. The number of divisions and pipes could be varied as per the design.
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Tools Learnt: Flip Matrix, Interpolate, Pipe
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Point Attraction
A varied point is placed on a plane with different circular surfaces. The surface sizes are varied according to their proximity to the point.
Tools Learnt: Bounds, Deconstruct Domain, Scale
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The Twist
Inspired by BIG Architects, an array of rectangles are created along an axis and the rectangles at the middle are twisted and rotated 90 degrees to create an interesting form.
Tools Learnt: Domain, Repeat Data, Rotate
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Vernoi
A surface is created along a plane and then populated with required numbers using the Vernoi tool. A facade skin is then developed by creating offsets of the Vernoi.
Learnt: Populate 2D, Vernoi, Brep
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Tools
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Kinetic Facade
A triangular mesh surface is developed as a facade skin. This surface is then linked to the positioning of the Sun such that the panels that are in close proximity to the Sun are closed and vice versa.
Tools Learnt: Grid, 2pt Vector, Evaluate Surface
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The Process of creating the Kinetic Facade.
Click Here for the working video of the Facade.
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Isovist
Isovist refers to the percentage of view that a person gets from a partcular point. Through this process, we can determine the best viewable position on the site to place structures.
Tools Learnt: Isovist, Field of View calculation
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Waterflow
Python’s computational capabilities are harnessed to assess the undulating surface, determining water flow direction and pathways for effective hydraulic analysis within the design process.
Tools Learnt: Evaluate Surface, Python
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Ideal Location
In any given site context with existing facilities, the ideal location to place a new facility is evaluated here by using python scripting as well as the galapagos solver.
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Tools Learnt: Python, Galapagos Solver
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Ladybug
Ladybug Tools in Grasshopper offer designers powerful environmental analysis tools, enabling precise evaluations of factors such as daylighting, solar radiation, and energy performance to support sustainable design decisions efficiently.
Learnt: Ladybug Tools, Radiance, Galapagos Solver
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Tools
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