Mathematics Webinar | Computational Methods for Fluid Flow, 15 October 2024
Mesh generation and its adaptivity are recognized as one of the major challenges in the Computational Fluid Dynamics (CFD) workflow in the NASA report: CFD Vision 2030 study. The quality of a mesh is extremely important to obtain reliable solutions and guarantee numerical stability. Adaptive mesh refinement strategies offer the potential for superior accuracy at reduced cost, but the issues include robustness, error estimation, and software complexity. This webinar introduces adaptive mesh-free methods in CFD modelling and adaptive mesh refinement methods, proposed based on the qualitative theory of differential equations and their performance.
Date: 15 October 2024 at 9:00 a.m. CEST | 3:00 a.m. EDT | 3:00 p.m. CST Asia
Webinar ID: 846 1040 4481
Register now for free!
Program:
| Speaker/Presentation | Time in CEST | Time in CST Asia |
| Dr. Zhenquan Li Chair Introduction |
9:00–9:05 a.m. | 3:00–3:05 p.m. |
| Dr. Tao Zhang Collocation-Based Mesh-Free CFD Methods for Aerodynamics Modelling |
9:05–9:30 a.m. | 3:05–3:30 p.m. |
| Q&A Session | 9:30–9:35 a.m. | 3:30–3:35 p.m. |
| Dr. Zhenquan Li Adaptive Mesh Refinement Methods Based on the Qualitative Theory of Differential Equation |
9:35–10:00 a.m. | 3:35–4:00 p.m. |
| Q&A Session | 10:00–10:05 a.m. | 4:00–4:05 p.m. |
| Dr. Rajnesh Lal The Process of Velocity Driven Adaptive Mesh Refinement Method |
10:05–10:30 a.m. | 4:05–4:30 p.m. |
| Q&A Session | 10:30–10:35 a.m. | 4:30–4:35 p.m. |
| Dr. Zhenquan Li Closing of Webinar |
10:35–11:00 a.m. | 4:35–5:00 p.m. |
After registering, you will receive a confirmation email containing information on how to join the webinar. Registrations with academic institutional email addresses will be prioritized.
Unable to attend? Register anyway and we will let you know when the recording is available to watch.
Webinar Chair and Keynote Speakers:
- Dr. Zhenquan Li (Chair), School of Computing and Mathematics, Charles Sturt University, Australia;
- Dr. Tao Zhang, School of Engineering, University of Leicester, UK;
- Dr. Rajnesh Lal, School of Mathematical and Computing Science, Fiji National University, Fiji.
Relevant Special Issue:
“Advanced Computational Methods for Fluid Dynamics and Applications”
Guest Editor: Dr. Zhenquan Li
Deadline for manuscript submissions: 30 November 2024
For more information about this webinar, please visit the following link: https://sciforum.net/event/Mathematics-13.