Mesh adaptation framework for embedded boundary methods for computational fluid dynamics and fluid‐structure interaction
Summary Embedded Boundary Methods (EBMs) are often preferred for the solution of Fluid‐
Structure Interaction (FSI) problems because they are reliable for large structural …
Structure Interaction (FSI) problems because they are reliable for large structural …
Discrete embedded boundary method with smooth dependence on the evolution of a fluid‐structure interface
J Ho, C Farhat - International Journal for Numerical Methods in …, 2021 - Wiley Online Library
Embedded boundary methods (EBMs) are robust solution methods for highly nonlinear fluid‐
structure interaction (FSI) problems. They suffer, however, some disadvantages because …
structure interaction (FSI) problems. They suffer, however, some disadvantages because …
Enhanced strategy for adaptive Cartesian grid generation with arbitrarily complex 3D geometry
S Meng, D Zhou, X Yuan, X Li, H Chen, L Bi - Advances in Engineering …, 2022 - Elsevier
This article presents an enhanced strategy for generating Cartesian grids for arbitrary
complex three-dimensional (3D) geometry. It addresses the major challenges, including …
complex three-dimensional (3D) geometry. It addresses the major challenges, including …
Towards a validated fsi computational framework for supersonic parachute deployments
A has been discussed in previous works, due to the parachute anomalies during NASA's
recent Low-Density Supersonic Decelerator Project, the Jet Propulsion Laboratory …
recent Low-Density Supersonic Decelerator Project, the Jet Propulsion Laboratory …
On the use of high order central difference schemes for differential equation based wall distance computations
A computationally efficient high-order solver is developed to compute the wall distances by
solving the relevant partial differential equations, namely: Eikonal, Hamilton–Jacobi (HJ) …
solving the relevant partial differential equations, namely: Eikonal, Hamilton–Jacobi (HJ) …
Enhancement on parallel wall distance calculation methodology for partitioned unstructured grid
H Zhi, S Deng, T **ao, Z Chen - International Journal for …, 2023 - Wiley Online Library
Minimum distance to a solid wall is a primary parameter in turbulence models and overset
grid assembly for computational fluid dynamics. In present work, a parallel advancing front …
grid assembly for computational fluid dynamics. In present work, a parallel advancing front …
An adaptive mesh refinement concept for viscous fluid-structure computations using Eulerian vertex-based finite volume methods
Embedded Boundary Methods (EBMs) for the solution of fluid and Fluid-Structure Interaction
(FSI) problems are typically formulated in the Eulerian setting, which makes them especially …
(FSI) problems are typically formulated in the Eulerian setting, which makes them especially …
A comprehensive framework for coupled nonlinear aeroelasticity and flight dynamics of highly flexible aircrafts
C Zhang, Z Zhou, X Zhu, L Qiao - Applied Sciences, 2020 - mdpi.com
A framework to model and analyze the coupled nonlinear aeroelasticity and flight dynamics
of highly flexible aircrafts is presented. The methodology is based on the dynamics of 3D co …
of highly flexible aircrafts is presented. The methodology is based on the dynamics of 3D co …
Aerodynamic shape optimization using an embedded boundary method with smoothness guarantees
JB Ho, C Farhat - AIAA Scitech 2021 Forum, 2021 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2021-0280. vid In the context of
aerodynamic shape optimization problems, embedded boundary methods (EBMs) are …
aerodynamic shape optimization problems, embedded boundary methods (EBMs) are …
[書籍][B] An Embedded Boundary Method with Smoothness Guarantees and its Impact on Aerodynamic Shape Optimization with Topological Changes
JBH Ho - 2022 - search.proquest.com
Aerodynamic shape optimization using computational fluid dynamics (CFD) displaces the
traditional aerodynamic design paradigm. Optimization algorithms automate the design …
traditional aerodynamic design paradigm. Optimization algorithms automate the design …