Uncertainty Quantification of RANS Data-Driven Turbulence Modeling
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Updated
Jan 11, 2021 - C++
Uncertainty Quantification of RANS Data-Driven Turbulence Modeling
An interfacing library to deploy machine-learning models in CFD codes easily
OpenFOAM solver to calculate the resolved Reynolds stress, turbulent kinetic energy and dissipation rate at runtime in LES
1D RANS model simulation at fully developed turbulent channel flow.
Some of the fastest decoding range-based Asymetric Numeral Systems (rANS) codecs for x64
RANS simulation of a turbulent channel flow
Master thesis project for data-driven wall modeling for turbulent flows
RANS is a Python-based command-line tool that securely encrypts and decrypts files and directories using AES-GCM encryption. It also collects system information and can send it to a Discord webhook, making it suitable for both personal data protection and security auditing purposes.
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