Aerodynamic characteristics of a square cylinder in streamwise sinusoidal flows DOI
Xincong Wang, Q.S. Li, Bin Lu

и другие.

Physics of Fluids, Год журнала: 2024, Номер 36(7)

Опубликована: Июль 1, 2024

The aerodynamic characteristics of a square cylinder in streamwise sinusoidal flows with non-zero mean velocity are investigated numerically by large eddy simulation. ratio the inflow frequency fu to natural Karman vortex shedding fvs varies from 0.125 8. fluctuating intensity 5% 20%. forces, pressures, time-averaged flow structures, and dynamics investigated. results show that effects limited for cases lower within (0.125fvs, fvs) become pronounced when frequencies (fvs, 8fvs). As increases 4 fvs, recirculation regions on lateral surface keep shrinking toward leading edge, resulting reattachment shear layer side surface. strength is weakened due less intensified interactions wake region, attains minimum separated–reattaching fields. variation structures deformation pressure distribution, lager negative pressures surfaces recovery leeward wall. drag root (r.m.s.) lift forces decrease during this process. further 8 layers tend vent again. intensity, force, r.m.s. force increase reversely, maintaining level than those smooth flow. In addition, found be dominated inflow-induced gradient field. intensities magnifies flows.

Язык: Английский

Interpretation and prediction of the three-dimensional coherent structure and its dynamics of tornado-like vortex via delayed proper orthogonal decomposition DOI
Lei Zhou, Bernd R. Noack, K.T. Tse

и другие.

Physics of Fluids, Год журнала: 2025, Номер 37(1)

Опубликована: Янв. 1, 2025

This study proposes a three-dimensional mode-based surrogate framework to predict the tornado-like vortex (TLV) derived from fuzzy neural network and delayed proper orthogonal decomposition method. First, near-break-down TLV is simulated via large-eddy simulation, its mean, fluctuating statistical flow feature analyzed. Then, spatiotemporal features of coherent structure are extracted interpreted. Next, capability proposed future state an unsteady chaotic field systematically evaluated, including variation velocity, pressure, vorticities as well statistics. Finally, parametric analysis also conducted investigate influence three key parameters [i.e., Fuzzy rules or output (K1 K2), time embedding number (d)] contained in step forward prediction (K) on predicted accuracy. Results show that for TLV, wandering effect largely affects dynamical feature, characteristics distinct, exhibiting essence swirling jet flow. 3D model can correctly with relative error less than 2% radial, tangential, vertical velocity component. It found time-delayed has great Thus, achieve optimal predicting effect, it suggested d taken 8, K1, K2 18, when making multi-step predictions, largest K should not exceed 7.

Язык: Английский

Процитировано

5

Reconstruction and short-term prediction of wind pressure field on cylindrical coal sheds under undisturbed conditions using dynamic mode decomposition DOI
Qingkuan Liu,

Jing Huo,

Shijie Liu

и другие.

Journal of Wind Engineering and Industrial Aerodynamics, Год журнала: 2025, Номер 258, С. 106017 - 106017

Опубликована: Янв. 30, 2025

Язык: Английский

Процитировано

1

Flow mechanism of a vibrating prism using the combined K-nearest neighbor and dynamic mode decomposition method DOI
Zengshun Chen, Likai Zhang, Yujie Wu

и другие.

Journal of Wind Engineering and Industrial Aerodynamics, Год журнала: 2025, Номер 258, С. 106013 - 106013

Опубликована: Фев. 2, 2025

Язык: Английский

Процитировано

1

CFD- and BPNN- based investigation and prediction of air pollutant dispersion in urban environment DOI
Xisheng Lin, Yunfei Fu, Daniel Ziyue Peng

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 100, С. 105029 - 105029

Опубликована: Окт. 29, 2023

Язык: Английский

Процитировано

19

The linear-time-invariance notion of the Koopman analysis. Part 2. Dynamic Koopman modes, physics interpretations and phenomenological analysis of the prism wake DOI Creative Commons
Cruz Y. Li, Zengshun Chen, K.T. Tse

и другие.

Journal of Fluid Mechanics, Год журнала: 2023, Номер 959

Опубликована: Март 22, 2023

This serial work presents a Linear-Time-Invariance (LTI) notion to the Koopman analysis, finding consistent and physically meaningful modes addressing long-standing problem of fluid-structure interactions: deterministically relating fluid structure. Part 1 (Li et al., 2022) developed Koopman-LTI architecture applied it pedagogical prism wake. By systematic procedure, LTI generated sampling-independent linearization that captured all recurring dynamics, six corresponding, orthogonal, in-synch excitation-structure response mechanisms. 2 analyzes modal duplets' underpin their physical interpretations, providing phenomenological revelation subcritical dynamical mode shape, results show two mechanisms at St1=0.1242 St5=0.0497 describe shear layer associated B\'ernard-K\'arm\'an shedding, turbulence production, which together overwhelm upstream crosswind walls by instigating reattachment-type response. The on-wind walls' similarity renders them spectrally unified interface. Another four harmonic counterparts, namely subharmonic St7=0.0683, second St3=0.2422, ultra-harmonics St7 =0.1739 St13=0.1935, govern downstream wall. 2P wake is also observed as an embedded bluff-body Finally, this discovered vortex breathing phenomenon, describing constant energy exchange in wake's circulation-entrainment-deposition processes. With Koopman-LTI, one may pinpoint exact excitations responsible for specific structural response, or vice versa.

Язык: Английский

Процитировано

17

Best practice guidelines for the dynamic mode decomposition from a wind engineering perspective DOI
Cruz Y. Li, Zengshun Chen, A.U. Weerasuriya

и другие.

Journal of Wind Engineering and Industrial Aerodynamics, Год журнала: 2023, Номер 241, С. 105506 - 105506

Опубликована: Авг. 24, 2023

Язык: Английский

Процитировано

14

Learning-based hierarchical cooperative eco-driving with traffic flow prediction for hybrid electric vehicles DOI

Xiaolin Tang,

Linyang Zheng,

Jiaxin Chen

и другие.

Energy Conversion and Management, Год журнала: 2024, Номер 321, С. 119000 - 119000

Опубликована: Сен. 11, 2024

Язык: Английский

Процитировано

5

The role of transverse inclination on the flow phenomenology around cantilevered prisms and the tripole wake mode DOI
Zengshun Chen, Jie Bai, Siyu Wang

и другие.

Journal of Fluids and Structures, Год журнала: 2023, Номер 118, С. 103837 - 103837

Опубликована: Фев. 2, 2023

Язык: Английский

Процитировано

13

Isolation, decomposition, and mechanisms of the aerodynamic nonlinearity and flow field phenomenology of structure-motion-induced dynamics in fluid–structure interactions DOI Open Access
Yemeng Xu, Cruz Y. Li, Zengshun Chen

и другие.

Physics of Fluids, Год журнала: 2023, Номер 35(4)

Опубликована: Апрель 1, 2023

This study focuses on the aerodynamic nonlinearity and flow field phenomenology of structure-motion-induced dynamics in fluid–structure interactions (FSI), which is essential for response prediction. Through dynamic-meshing large-eddy simulations with near-wall resolution, nonlinear damping still wind has been isolated by forced vibration, its phenomenological characteristics physical mechanisms have analyzed. The results show that can account up to 30% total damping, cannot be ignored also reveals three-dimensional vorticity vary nonlinearly structure motion, leading hysteresis effect between forces displacement. Furthermore, in-depth analysis discloses eight types coherent substructures, including Stick, Phone, Bowknot, Crutch, Droplet, Bat, Horn, Flag are solely induced structural motion. Insights into these substructures' formation, evolvement, dissipation, superposable magnitude disclosed. research offers a new perspective understanding nature FSI, serving as reference various FSI applications, bridges, high-building design, other related fields.

Язык: Английский

Процитировано

12

Enhanced Koopman operator-based robust data-driven control for 3 degree of freedom autonomous underwater vehicles: A novel approach DOI
Mehran Rahmani, Sangram Redkar

Ocean Engineering, Год журнала: 2024, Номер 307, С. 118227 - 118227

Опубликована: Май 23, 2024

Язык: Английский

Процитировано

5