نتایج جستجو برای: velocity prediction program

تعداد نتایج: 836921  

Journal: :Biochemical and Biophysical Research Communications 1989

Journal: :International Journal of Computer Applications 2019

The current study presents the results of the aerodynamic noise prediction of the flow field around a NACA 0012 airfoil at a chord-based Reynolds number of 100,000 and at 8.4 degree angle of attack. An incompressible Large Eddy Simulation (LES) turbulence model is applied to obtain the instantaneous turbulent flow field. The noise prediction is performed by the Ffowcs Williams and Hawkings (FW-...

ژورنال: مهندسی دریا 2007
خسروی, محمد, علیشاهی, محمدمهدی, نیک سرشت, امیرحسین,

Prediction of hydrodynamic loads during water impact is of great significance in the structural design of flying vehicles. Also the importance of the slam force of waves on the members of offshore structures cannot be overemphasized. No theoretical tool is available to handle this complicated phenomenon exactly and the experimental procedures in the laboratory are both time-consuming and expens...

Journal: :Zisin (Journal of the Seismological Society of Japan. 2nd ser.) 2009

Monir Taherkhani Peyman Pourafshary,

  Diffusivity equation commonly used for pressure distribution prediction in porous media results from substituting equation of state and continuity equation in Navier-Stokes momentum equation. From mathematical point of view this equation format shows infinite propagation speed for pressure pulse through porous media, which is physically impossible. This issue may caused by numerous assumption...

Journal: :Research Journal of Applied Sciences, Engineering and Technology 2019

Journal: :Applied sciences 2022

In engineering blasting, the slope surfaces in blasting area exert various effects on blast vibration velocity. For example, effect and whipping are generated area, which will influence The is key protection for many projects; therefore, it of practical value to explore surface speed prediction against it. velocity was analyzed by numerical simulation fitting. field monitoring data were fitted ...

The limiting velocity in open channels to prevent long-term sedimentation is predicted in this paper using a powerful soft computing technique known as Extreme Learning Machines (ELM). The ELM is a single Layer Feed-forward Neural Network (SLFNN) with a high level of training speed. The dimensionless parameter of limiting velocity which is known as the densimetric Froude number (Fr) is predicte...

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