Nearly billions of passengers flow through Suzhou North Railway Station every year. When the high-speed train slows down before entering the station, this exhibition hall could be visible at a glance! The advantage of site location determines its uniqueness. Each visible façade of architecture is very important. We carried out researches in two ways; one is the garden type, some enclosed elements are applied in space constraints to achieve orderly space change. Obviously, it is difficult for garden-style to achieve the meaning carried by the building, so we adapted another way that setting a point to make it a whole without scatter, let it become a city landmark and visual focus!
CONCEPT
This building is located near one of the high speed rail station and acts as an monumental building in Suzhou, China. The building is used as an Exhibition Hall so, to make the building more interactive to the visitors the exterior façade is responsive to the human movements. The façade will go inwards as humans come closer and move outwards as they move away from the façade.
PSEUDO CODE
Set one line from rhino
Divide curve to get multiple points
02.A. Create an attractor point for the surface
02 B. Making a surface with this points
02.A.
Make a range with same steps as the number of points
Connect it to Sine Graph mapper
Then remap the graph mapper
And connect it to explode tree
Connect the data to vector yz
Then connect it to move with base geometry
Connecting the moved points with distance
Adding an attractor point to the distance
Remap the distance and connect to amplitude
Connecting the amplitude with the axis in which the Points will move
Connecting the axis to move with the base points
02.B.
Moving the line in z axis to get the façade
Connecting the attracted points and points moved to z axis to Bezier Span
Giving surface the extrusion and color
Repeating the same process for all four sides and merge it to control with one slider.
DESIGN
Human responsive facade is a project of IAAC, the Institute for Advanced Architecture of Catalonia, developed during the Master in Advanced Architecture (MAA01) 2020/21 by students: Aswin Kumar and Harshul Goti; Faculty: David Andrés León; faculty assistant: Ashkan Foroughi; and student assistants: Laukik Lad & Uri Lewis
