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jiasheng yang
jiasheng yang
PhD student, KIT
Verifierad e-postadress på kit.edu
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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
232022
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
212022
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
52023
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
52022
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
42023
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
32020
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
12021
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
12021
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
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Artiklar 1–20