Outputs (2)

A neural network based non-intrusive surrogate modelling framework for fluid-structure interaction (2024)
Journal Article
Fairchild, D., & Şugar-Gabor, O. (in press). A neural network based non-intrusive surrogate modelling framework for fluid-structure interaction. International Journal of Multiphysics, 18(3),

The use of surrogate modelling in Multiphysics simulation is becoming increasingly attractive due to large computation time and hardware demands of modern simulations. These methods aim to reduce the computational time and complexity of the determina... Read More about A neural network based non-intrusive surrogate modelling framework for fluid-structure interaction.

Non-intrusive reduced-order model for unsteady fluid flow and fluid-structure interaction problems (2022)
Presentation / Conference
Sugar-Gabor, O., & Fairchild, D. (2022, October). Non-intrusive reduced-order model for unsteady fluid flow and fluid-structure interaction problems. Presented at International Conference of Aerospace Sciences AEROSPATIAL 2022, INCAS, Bucharest, Romania

A non-intrusive reduced-order model applicable to time-dependent parametric systems is
developed. The model is based on extracting a reduced-order basis from high-order snapshots via proper
orthogonal decomposition. Multi-layered feedforward artifi... Read More about Non-intrusive reduced-order model for unsteady fluid flow and fluid-structure interaction problems.