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Dataset cylincf-01 creation pipeline: Circular cylinder in a cross flow, mach number 0.03 and reynolds number 200
This article presents an aeroacoustic workflow (pipeline) to generate a flow and acoustic
dataset for studying flow-induced sound in the context of a cylinder in cross flow. The …
dataset for studying flow-induced sound in the context of a cylinder in cross flow. The …
Feasibility study on solving the Helmholtz equation in 3D with PINNs
Room acoustic simulations at low frequencies often face significant uncertainties of material
parameters and boundary conditions due to absorbing material. We discuss the application …
parameters and boundary conditions due to absorbing material. We discuss the application …
Offline coupling of segregated multi-physical simulations with consistent boundary conditions and source terms based on scattered data
S Schoder - arxiv preprint arxiv:2308.04608, 2023 - arxiv.org
This article presents the openCFS submodule scattered data reader for coupling multi-
physical simulations performed in different simulation programs. For instance, by …
physical simulations performed in different simulation programs. For instance, by …
OpenCFS-Data: Data pre-post-processing tool for OpenCFS
S Schoder, K Roppert - arxiv preprint arxiv:2302.03637, 2023 - arxiv.org
Many numerical simulation tools have been developed and are on the market, but there is
still a strong need for appropriate tools capable to simulate multi-field problems, especially …
still a strong need for appropriate tools capable to simulate multi-field problems, especially …
openCFS-Data: Implementation of the Stochastic Noise Generation and Radiation Model (SNGR)
S Schoder - arxiv preprint arxiv:2302.05622, 2023 - arxiv.org
Preliminary aeroacoustic investigations in competitive industries require rapid numerical
simulation techniques to gain initial insight into the flow and acoustic field. Although there …
simulation techniques to gain initial insight into the flow and acoustic field. Although there …
[PDF][PDF] Physics-Informed Neural Networks for Modal Wave Field Predictions in 3D Room Acoustics
S Schoder - Applied Sciences (Switzerland), 2025 - preprints.org
The capabilities of Physics-Informed Neural Networks (PINNs) to solve the Helmholtz
equation in a simplified three-dimensional room are investigated. From a simulation point of …
equation in a simplified three-dimensional room are investigated. From a simulation point of …
[PDF][PDF] Post-processing flows using physics-informed neural networks
In this contribution, the Helmholtz decomposition of a compressible flow velocity field into
vortical and compressible structures is implemented using a finite element framework and …
vortical and compressible structures is implemented using a finite element framework and …