./episode_166.sh

📚 🧠 “Only the educated are free.” – Epictetus

Feb 04, 2024

💦 The Potential of Machine Learning to Enhance Computational Fluid Dynamics

Machine learning is rapidly becoming a core technology for scientific computing, with numerous opportunities to advance the field of computational fluid dynamics. This paper highlights some of the areas of highest potential impact, including to accelerate direct numerical simulations, to improve turbulence closure modelling, and to develop enhanced reduced-order models.

Full Paper

💻 Validation and Insight Using Ansys Mechanical

Reviewing the calculated results is the most critical part of any simulation. Evaluating deformation and stresses is a primary objective of our analysis, and we may need to determine our engineered design’s safety factors. However, postprocessing also helps us verify that our model setup was correct and that we don't have unexpected behaviors we can't account for. Moreover, we can compare results from different designs to evaluate the optimal configuration.

💦 Physics-Informed Neural Networks for Fluid Mechanics

🚴 CFD "Superman" Cyclist

The paper analyses drag on various cycling positions, including the "Superman".

The analysis is performed by Computational Fluid Dynamics (CFD) simulations with the 3D RANS equations and the Transition SST k-ω model. The simulations are validated wind tunnel measurements. The results are analyzed in terms of frontal area, drag area, and surface pressure coefficient.

Paper

🧠 PlotNeuralNet

Latex code for drawing neural networks for reports and presentation. Have a look into examples to see how they are made. Additionally, let’s consolidate any improvements that you make and fix any bugs to help more people with this code.

GitHub Repo

🤓 Wave Equation

The wave equation is a partial differential equation that describes the propagation of various types of waves.
The equation appears throughout many fields in physics, including acoustics, fluid dynamics, electromagnetism, and quantum mechanics.

The one-dimensional equation was first discovered by d’Alembert in 1746 as he studied how vibrations propagated through a string, and the two- and three-dimensional equations were solved soon after by Euler during his study of acoustics.

💻 AutoFEA Analysis

💻 Engineering Tool of the Week - CALCULIX

CalculiX is a package designed to solve field problems. The method used is the finite element method.

With CalculiX Finite Element Models can be built, calculated and post-processed. The pre- and post-processor is an interactive 3D-tool using the openGL API. The solver is able to do linear and non-linear calculations. Static, dynamic and thermal solutions are available.

Website.

📚Book of the Week

The Finite Element Method: Linear Static and Dynamic Finite Element Analysis

This text is geared toward assisting engineering and physical science students in cultivating comprehensive skills in linear static and dynamic finite element methodology. Based on courses taught at Stanford University and the California Institute of Technology, it ranges from fundamental concepts to practical computer implementations. Additional sections touch upon the frontiers of research, making the book of potential interest to more experienced analysts and researchers working in the finite element field.

Get on Amazon