As a major metropolitan city with a highly dense population, New York faces a significant challenge of noise pollution. Noise has a negative impact on the environment, and it is an essential problem for those living in such an environment. While several techniques can minimize noise pollution, it is often unavoidable. This project aims to explore noise reduction and create noiseless cities by leveraging computational methods and noise manipulation using point data.
SITE
Location: Vessel, Hudson Yards, NYC
DATA VISUAL
To achieve this goal, a site was chosen to assess the impact of noise on the environment. Vessel, Hudson Yards, was selected, and a survey was conducted using a camera to capture data. The data was converted into a point cloud that represented the site’s 3D form visually.
NOISE DATA
Noise data was captured using noise dosimetry in and around the streets of Hudson Yards, and this audio data was represented with spheres that move and bounds. The points were controlled by the frequency of the sound data, and the big data with a variable of frequency makes the particles move with speed. These particles are referred to as flow field particles.
INITIAL SIMULATION
The initial sound simulation was conducted using point data that was visualized in cells, allowing them to bounds in that space according to the noise data. Using computational tools, the point cloud’s behavior was altered depending on the sound value.
SIMULATING DATA AS FLOW FIELD DIRECTION
To simulate data as a flow field direction in Unity 3D, a grid of directions was created, and objects were spawned within the grid. The grid’s directions told the objects which direction to apply a force in movement. The simulation demonstrated how the point cloud responds to frequency and moves in a particular direction.
NOISE AFFECTING THE BUILDING
Using this method, it was possible to investigate the impact of sound on the structure and how the shape deforms without observing the sound, which was just audible. The strength of the sound wave rapidly left an impression on the surface at street level, but when the height was increased, the impact faded. This method enabled us to see how the sound emerges on the surface and how long it lasts there.
PARTICLE SIMULATION IN RESPECT TO AUDIO
Using this method, it was possible to investigate the impact of sound on the structure and how the shape deforms without observing the sound, which was just audible. The strength of the sound wave rapidly left an impression on the surface at street level, but when the height was increased, the impact faded. This method enabled us to see how the sound emerges on the surface and how long it lasts there.
CLICK HERE TO VIEW THE SIMULATION
CONCLUSION
In summary, this project leverages computational methods to explore noise reduction and create noiseless cities. It showcases how sound data can be used to manipulate point clouds and alter their behavior according to sound values. The resulting deformation of structures provides insights into how noise impacts the environment, making it a useful tool for architects and urban planners.
CLICK HERE TO VIEW THE SIMULATION.
