vardhah/UUV-design-optimization
A design optimization study of underwater vehicle using Bayesian optimization and deep learning based surrogate model
This project helps naval architects and engineers optimize the hull design of unmanned underwater vehicles (UUVs). By inputting a parametric CAD design of a UUV hull, it quickly evaluates different shapes to determine the most hydrodynamically efficient design. The output is an optimized hull shape that minimizes drag, significantly faster than traditional methods.
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Use this if you need to rapidly explore and optimize UUV hull designs for minimal drag, using either direct simulations or highly accelerated AI-powered approximations.
Not ideal if your primary goal is to optimize for factors other than drag, or if you do not work with parametric CAD models of marine or aeronautical hulls.
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13
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Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Mar 13, 2023
Commits (30d)
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