Project Details
Grant Program
Faculty Development Competitive Research Grants Program 2022-2024
Project Description
This research proposal focuses on the development of computational tools and methods for optimizing the design of functional free-form surfaces, such as airfoils/hydrofoils, wings, blades, propellers and ship hulls, appearing in several important engineering applications.
We are mainly targeting to:
1. Extend/enhance our team-developed toolbox of IGA-enabled BEM solvers to tackle a wider range of flow simulation problems accurately and efficiently;
2. Reduce the dimension of the design space for shape optimization problems that still depend on relatively high number of parameters, and finally
3. Introduce physics-informed surrogate models (including physics-informed neural networks) for optimization cases which still bear a prohibitive computational cost.
We are mainly targeting to:
1. Extend/enhance our team-developed toolbox of IGA-enabled BEM solvers to tackle a wider range of flow simulation problems accurately and efficiently;
2. Reduce the dimension of the design space for shape optimization problems that still depend on relatively high number of parameters, and finally
3. Introduce physics-informed surrogate models (including physics-informed neural networks) for optimization cases which still bear a prohibitive computational cost.
Short title | Shape Optimization of Free-form Functional surfaces |
---|---|
Acronym | SOFFA – PHYS |
Status | Active |
Effective start/end date | 1/1/22 → 12/31/24 |
Keywords
- Design Optimization
- Isogeometric Analysis
- Physics-informed surrogate models
- Dimensionality reduction
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