نتایج جستجو برای: bluff body aerodynamics or hydrodynamics
تعداد نتایج: 3988407 فیلتر نتایج به سال:
To improve the performance and efficiency of ordinary galloping energy harvesters (GEHs), this paper proposes a GEH with striped bluff body. The fluid-structure coupling simulation body oscillator harvester was carried out using COMSOL Multiphysics. cloud diagram in flow field, tip displacement at beam, lifting dragging force, trace frequency response are analyzed. Simulation results show that ...
Circa 1.1 Ga granitic magmatism in Texas was manifested as two compositional groups: (1) the 1.12 Ga Red Bluff granitic suite in west Texas; and (2) 1.12-1.07 Ga granites of the Llano uplift of central Texas. Both suites share some characteristics typical of 'anorogenic' granites (e.g. potassiumand iron-rich bulk compositions, Fe-rich hydrous silicates, emplacement conditions involving low oxyg...
The Fourth International Workshop on Measurement and Computation of Turbulent Nonpremixed Flames (TNF4) was hosted by the Darmstadt University of Technology and was attended by 87 researchers from 10 countries. The main topics of discussion included: results for the piloted CH4/air jet flames D, E, and F progress on calculations of bluff-body stabilized flames progress on LES for combustion exp...
On the application of artificial neural network for the development of a nonlinear aeroelastic model
Aeroelastic Computational Fluid Dynamics simulations have traditionally been associated to a high computational cost, making them prohibitive in initial phase of the design. Analytic models, which may not be accurate for nonlinear aerodynamics, utilized order size those structures. Recently, some authors proposed use artificial neural networks reduce error prediction aerodynamic coefficients bl...
The objective of this study is to minimize the drag coefficient of aerodynamics bodies for a specified design Reynolds number regime. With the aerodynamics model the gradient of the objective function (drag coefficient) cannot be determined analytically. Furthermore, it is expected that the objective function is multi-modal, i.e. it shows more than one minimum. Therefore, the optimization algor...
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