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Xisheng Lin
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A parametric and feasibility study for data sampling of the dynamic mode decomposition: Range, resolution, and universal convergence states
CY Li, Z Chen, TKT Tse, AU Weerasuriya, X Zhang, Y Fu, X Lin
Nonlinear Dynamics 107 (4), 3683-3707, 2022
422022
Establishing direct phenomenological connections between fluid and structure by the Koopman-Linearly Time-Invariant analysis
CY Li, Z Chen, TKT Tse, AU Weerasuriya, X Zhang, Y Fu, X Lin
Physics of Fluids 33 (12), 2021
262021
A parametric and feasibility study for data sampling of the dynamic mode decomposition: Spectral insights and further explorations
CY Li, Z Chen, TKT Tse, AU Weerasuriya, X Zhang, Y Fu, X Lin
Physics of Fluids 34 (3), 2022
232022
The linear-time-invariance notion to the Koopman analysis: The architecture, pedagogical rendering, and fluid–structure association
CY Li, Z Chen, X Lin, AU Weerasuriya, X Zhang, Y Fu, TKT Tse
Physics of Fluids 34 (12), 2022
172022
A POD-DMD augmented procedure to isolating dominant flow field features in a street canyon
Y Fu, X Lin, L Li, Q Chu, H Liu, X Zheng, CH Liu, Z Chen, C Lin, TKT Tse, ...
Physics of Fluids 35 (2), 2023
152023
The linear-time-invariance notion of the Koopman analysis. Part 2. Dynamic Koopman modes, physics interpretations and phenomenological analysis of the prism wake
CY Li, Z Chen, KT Tim, AU Weerasuriya, X Zhang, Y Fu, X Lin
Journal of Fluid Mechanics 959, A15, 2023
112023
Best practice guidelines for the dynamic mode decomposition from a wind engineering perspective
CY Li, Z Chen, AU Weerasuriya, X Zhang, X Lin, L Zhou, Y Fu, KT Tim
Journal of Wind Engineering and Industrial Aerodynamics 241, 105506, 2023
62023
The Linear-Time-Invariance Notion of the Koopman Analysis-Part 2: Physical Interpretations of Invariant Koopman Modes and Phenomenological Revelations
CY Li, Z Chen, TKT Tse, AU Weerasuriya, X Zhang, Y Fu, X Lin
arXiv preprint arXiv:2112.03029, 2021
62021
Physio-chemical modeling of the NOx-O3 photochemical cycle and the air pollutants’ reactive dispersion around an isolated building
Y Fu, X Lin, X Zheng, L Wang, CH Liu, X Zhang, CY Li, KT Tse
Building Simulation 16 (9), 1735-1758, 2023
42023
The linear-time-invariance notion of the koopman analysis-part 1: The architecture, practical rendering on the prism wake, and fluid-structure association
CY Li, Z Chen, TKT Tse, AU Weerasuriya, X Zhang, Y Fu, X Lin
arXiv preprint arXiv:2112.02985, 2021
42021
Best practice for the dynamic mode decomposition in wind engineering applications
CY Li, Z Chen, TKT Tse, AU Weerasuriya, X Zhang, Y Fu, X Lin
8th European-African Conference on Wind Engineering (8EACWE) Proceedings, 11-14, 2022
32022
A Parametric and Feasibility Study for Data Sampling of the Dynamic Mode Decomposition--Part II: Input Variable, Truncation, Interpolation, and Cross-Validation
CY Li, Z Chen, TKT Tse, A Umenga Weerasuriya, X Zhang, Y Fu, X Lin
arXiv e-prints, arXiv: 2110.06577, 2021
22021
CFD-and BPNN-based investigation and prediction of air pollutant dispersion in urban environment
X Lin, Y Fu, DZ Peng, CH Liu, M Chu, Z Chen, F Yang, KT Tim, CY Li, ...
Sustainable Cities and Society 100, 105029, 2024
12024
The NOx-O3 photochemical reactive air pollutant dispersion around an isolated building—The role of turbulence model and building aspect ratio
Y Fu, X Lin, L Li, M Chu, CH Liu, Z Chen, CY Li, KT Tse
Building and Environment 245, 110906, 2023
12023
Energetic and dynamic characterization of pollutant dispersion in varied building layouts through an augmented analysis procedure
Y Fu, CY Li, Z Zhao, B Zhang, KT Tse, CM Mak, Z Chen, X Feng, X Lin, ...
Physics of Fluids 36 (3), 2024
2024
Applied Koopmanistic interpretation of subcritical prism wake physics using the dynamic mode decomposition
CY Li, X Lin, G Hu, L Zhou, TKT Tse, Y Fu
Wind and Structures 37 (3), 191-209, 2023
2023
Establishing Direct Phenomenological Connections between Fluid and Structure by the Koopman-Linearly-Time-Invariant Decomposition
CY Li, Z Chen, TKT Tse, A Umenga Weerasuriya, X Zhang, Y Fu, X Lin
arXiv e-prints, arXiv: 2110.09010, 2021
2021
The linear-time-invariance notion to the Koopman analysis: decouple and quantify the cause-effect relationships of fluid-structure interactions
CY Li, Z Chen, TKT Tse, X Zhang, Y Fu, X Lin, Y Wang, Z Peng
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