نتایج جستجو برای: aerodynamic loads

تعداد نتایج: 52469  

Journal: :Journal of Fluids and Structures 2021

The structural motion and unsteady aerodynamic loads of a pitching airfoil model that features an actuated trailing edge flap are determined experimentally using single measurement data processing system. This integrated approach provides alternative to the coordinated use multiple systems for simultaneous position flow field measurements in large-scale fluid–structure interaction experiments. ...

This work aimed to prepare a nanoemulsion preparation containing budesonide and assess its aerodynamic behavior in comparison with suspension of budesonide. In-vitro aerodynamic performance of the corresponding micellar solution (ie. nanoemulsion preparation without oil) was investigated too. Nanoemulsions of almond oil containing budesonide, as a hydrophobic model drug molecule, were prepared ...

Journal: :Transportation safety and environment 2023

Abstract The purpose of this study is to establish the correlation between boundary layer over subgrade and aerodynamic loads acting on train model in conventional wind tunnel tests. Firstly, flow characteristics around with different leading-edge angles (15◦, 30◦, 45◦) are investigated through PIV experimental test method. Then, tests performance a high-speed carried out. results compared prev...

Journal: :Physics of Fluids 2023

For the design and certification of wind turbines, it is essential to provide fast accurate unsteady aerodynamic load prediction models for whole operational range angle attack, up 180° vertical-axis 90° horizontal-axis turbines. This work describes a computationally efficient forces model based on deep learning approach, namely bidirectional long short-term memory (BiLSTM) algorithm, an airfoi...

Journal: :Journal of Computational Physics 2021

A physics-based data-driven computational framework for the quantitative analysis of vortex kinematics and vortex-induced loads in vortex-dominated problems is presented. Such flows are characterized by dominant influence a small number structures, but complexity these makes it difficult to conduct this at level individual vortices. The method presented here combines machine learning-inspired c...

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