Diffusion equation-based room acoustic modeling using a physically informed neural network

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Authors
Robertson, Megan
Issue Date
2024-08
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Electronic thesis
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en_US
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Architectural sciences
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Abstract
In coupled volumes sound energy oscillates between the two rooms. To understand this sound energy flow, we use a diffusion equation model. The diffusion equation with a finite difference solution has been used to model sound energy flow in rooms. However, the finite difference approach requires a fine mesh, making it less computationally efficient for complex geometries or large scales. This work implements a mesh free solution using a physically informed neural network (PINN) with automatic differentiation. We can use PINN to simulate a sound energy impulse response in a room and predict room acoustics of complex geometries.
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August2024
School of Architecture
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Rensselaer Polytechnic Institute, Troy, NY
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