Results 91 to 100 of about 1,190 (227)
Modulation of wind drag by tidal currents in an embayment
Tidal currents modulate how wind energy enters the surface wave field by influencing both wave drag and wave generation. In Shark Bay, following currents reduce effective wave steepness and wind drag, and opposing currents enhance wave growth. Wind energy is partitioned between wave drag and the creation of new waves, explaining observed tidal ...
Stephen M. Thurgate +1 more
wiley +1 more source
Aerodynamic characteristics of high speed train under turbulent cross winds: A numerical investigation using unsteady-RANS method [PDF]
Increasing velocity combined with reduced mass of modern high speed trains poses the question of influence of strong cross winds on its aerodynamics. Strong cross winds may affect the running stability of high speed trains via the amplified aerodynamic ...
Biadgo Asress Mulugeta +3 more
doaj
Actuation Strategies for Underwater Jet‐Propelled Soft Robots
ABSTRACT This review article examines jet‐propulsion mechanisms in underwater soft robotic systems, focusing exclusively on physically fabricated and experimentally validated robots. Covering research published from 2013 to 2025, this study classifies and evaluates jet‐propulsion robots based on their actuation mechanisms.
Angel Kitone +3 more
wiley +1 more source
Aerodynamics of Harmonically Oscillating Aerofoil at Low Reynolds Number
Two-dimensional flows over harmonically oscillating symmetrical aerofoil at reduced frequency of 0.1 were investigated for a Reynolds number of 135,000, with focus on the unsteady aerodynamic forces, pressure and vortex dynamics at post-stall angles of ...
Nik Ahmad Ridhwan Nik Mohd
doaj
Long‐Term Morphodynamic Responses to Flood Diversion in the Lower Kano River, Japan
ABSTRACT Fluvial morphodynamics—the interaction between water flow, sediment transport, and channel morphology—is a central concern in sustainable river management. However, the long‐term effects of flood diversion remain underexplored. This study investigated the decadal‐scale morphodynamic responses of the lower Kano River in Japan following the ...
Yuta Itsumi +4 more
wiley +1 more source
Experimental Study on Fine Sediment Infiltration (FSI) Processes in Different Gravel Mixtures
ABSTRACT Fine sediment infiltration (FSI) can lead to riverbed clogging, thereby degrading important habitats for aquatic biota in the hyporheic interstitial zone of gravel‐bed rivers (e.g., by reducing oxygen availability). This stress on rivers may increase from anthropogenic influences and can be counteracted by artificial gravel augmentation to ...
Michael Paster +3 more
wiley +1 more source
ABSTRACT Flow velocity measurement is fundamental to hydrological and hydraulic studies, providing essential data for streamflow estimation and river dynamics analysis. Traditional in situ methods like propeller gauges and acoustic Doppler current profilers are accurate but intrusive and labour‐intensive, while non‐intrusive image processing methods ...
Ghazaleh Nassaji Matin +4 more
wiley +1 more source
Redistributive effects of unsteady flow regimes downstream of reservoirs
Abstract Understanding unsteady flow regimes in river channels downstream of a reservoir, is essential for predicting and regulating water level and flow velocity in the lower basin. Using hourly observations of discharge and water level at Xiangjiaba Station from 2018 to 2022, an evaluation indicator was proposed to analyze unsteady flow regimes ...
Guoshuai Zhang +4 more
wiley +1 more source
Bath Vibration During Open Eye Formation in a Physical Model of a Steelmaking Ladle
Using a physical model, this study shows that vibration measurements reliably predict open eye size in steelmaking ladles, offering a practical alternative to visual monitoring. Vessel vibrations stabilize faster than the open eye, except at high frequencies near the bottom.
Mika Pylvänäinen +6 more
wiley +1 more source
ABSTRACT Accurate surface‐pressure prediction over broad operating envelopes is critical for supersonic aerodynamic analysis and design. To overcome the bottlenecks of traditional computational fluid dynamics (CFD) in real‐time performance and computational efficiency, data‐driven deep learning methods have emerged. However, existing data‐driven models
Hongbin Xu, Yin Long, Junlin Wu
wiley +1 more source

