Predicting drag on rough surfaces by transfer learning of empirical correlations S Lee, J Yang, P Forooghi, A Stroh, S Bagheri Journal of Fluid Mechanics 933, A18, 2022 | 23 | 2022 |
Direct numerical simulation-based characterization of pseudo-random roughness in minimal channels J Yang, A Stroh, D Chung, P Forooghi Journal of Fluid Mechanics 941, A47, 2022 | 21 | 2022 |
Prediction of equivalent sand-grain size and identification of drag-relevant scales of roughness--a data driven approach J Yang, A Stroh, S Lee, S Bagheri, B Frohnapfel, P Forooghi Journal of Fluid Mechanics. 2023;975:A34., 2023 | 5 | 2023 |
Shear response behavior of STF/kevlar composite fabric in picture frame test Y Ma, X Hong, Z Lei, R Bai, Y Liu, J Yang Polymer Testing 113, 107652, 2022 | 5 | 2022 |
A comparison of hydrodynamic and thermal properties of artificially generated against realistic rough surfaces J Yang, J Velandia, S Bansmer, A Stroh, P Forooghi International Journal of Heat and Fluid Flow 99, 109093, 2023 | 4 | 2023 |
Comparison of different solvers and geometry representation strategies for DNS of rough wall channel flow F Theobald, K Schäfer, J Yang, B Frohnapfel, M Stripf, P Forooghi, A Stroh Proceedings of the 14th WCCM-ECCOMAS Congress, 2020 | 3 | 2020 |
Simulation of Flow over Pseudo-Random Rough Surfaces J Yang, A Stroh, P Forooghi High Performance Computing in Science and Engineering'20: Transactions of …, 2021 | 1 | 2021 |
Study of irregular roughness in minimal channels J Yang, A Stroh, S Jakirlic, B Frohnapfel, P Forooghi ETMM 13, International symposium on engineering, turbulence, modelling and …, 2021 | 1 | 2021 |
Drag prediction of rough-wall turbulent flow using data-driven regression Z Shi, SMH Khorasani, H Shin, J Yang, S Lee, S Bagheri arXiv preprint arXiv:2405.09256, 2024 | | 2024 |
Data-driven discovery of drag-inducing elements on a rough surface through convolutional neural networks H Shin, SMH Khorasani, Z Shi, J Yang, S Lee, S Bagheri arXiv preprint arXiv:2405.09071, 2024 | | 2024 |
Flow resistance over heterogeneous roughness made of spanwise-alternating sandpaper strips B Frohnapfel, L von Deyn, J Yang, J Neuhauser, A Stroh, R Örlü, D Gatti Journal of Fluid Mechanics 980, A31, 2024 | | 2024 |
Asessment of roughness characterization methods for data-driven predictions J Yang, A Stroh, S Lee, S Bagheri, B Frohnapfel, P Forooghi | | 2024 |
Modeling roughness effects using the DANS/DEM approach F Chedevergne, J Yang, A Stroh, P Forooghi ICHMT DIGITAL LIBRARY ONLINE, 2023 | | 2023 |
Assessing different roughness description methods in skin friction prediction J Yang, A Stroh, S Lee, S Bagheri, B Frohnapfel, P Forooghi 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling …, 2023 | | 2023 |
DNS-based thermohydraulic assessment of artificial roughness surrogates J Yang, J Velandia, S Bansmer, A Stroh, P Forooghi International Heat Transfer Conference Digital Library, 2023 | | 2023 |
Study of Data-Driven Prediction of Roughness Skin Friction J Yang, A Stroh, P Forooghi International Conference on High Performance Computing in Science and …, 2022 | | 2022 |
An active learning approach for the prediction of hydrodynamic roughness properties J Yang, A Stroh, P Friederich, B Frohnapfel, P Forooghi 12th International Symposium on Turbulence and Shear Flow Phenomena, TSFP …, 2022 | | 2022 |
Dataset for DNS-based characterization of pseudo-random roughness in minimal channels J Yang, A Stroh, D Chung, P Forooghi | | 2022 |
Dataset for Study of irregular roughness in minimal channels J Yang, A Stroh, S Jakirlić, P Forooghi, B Frohnapfel | | 2021 |
Data-driven prediction of roughness skin friction J Yang, A Stroh, P Forooghi | | |