Abstract Recently, there has been a growing interest in utilizing computational fluid dynamics (CFD) for wind resistant design of tall buildings. A key factor that influences the accuracy and expense CFD simulations is size domain. In this paper, effect domain on predictions loads buildings investigated with series sensitivity studies. Four distinct sources error are identified which i...

Introduction Abnormal neural impulses in the nervous system may lead to various diseases and disabilities. High frequency alternating currents (HFAC) has been used to block the propagation of such impulses and improve the symptoms or disabilities. The technique is safe, reversible, and relatively selective, and its reliability, the optimum stimulation parameters, and elimination of the onset re...

Among the all parameters affecting the performance of a downhole de-oiling hydrocyclone, the investigation of internal flow field deserves more attempts especially in the petroleum industry. In this study, the effects of inlet flow rate, inlet oil volume fraction, and oil droplet diameter on the separation efficiency and pressure drop ratio have been investigated along the hydrocyclone body. Al...

Computer vision and machine learning tools offer an exciting new way for automatically analyzing categorizing information from complex computer simulations. Here we design ensemble framework that can independently robustly categorize dissect simulation data output contents of turbulent flow patterns into distinct structure catalogs. The segmentation is performed using unsupervised clustering al...