ven with great advances in computational techniques and computing power during recent decades, the modeling of unsteady separated flows, such as those encountered in the wake of a re-entry vehicle, continues to be one of the most challenging problems in CFD. Of most interest to the aerothermodynamics community is accurately predicting transient heating loads on the base of a blunt body, which w...

هدف: پیشرفت جوامع بالاخص کشورهای درحال توسعه تا حد زیادی در گرو گسترش نهادهای دانشگاهی است. هم‌چنین یکی از مهم‌ترین ویژگی‌های آموزشی، درهم‌تنیدگی ساختارهای آموزش و اشتغال واقع هر آموزشی باید بازدهی یا توجیه اقتصادی داشته باشد که عالی‌ترین نوع آن ایجاد متناسب با فراگیر بر این اساس پژوهش حاضر به بررسی وضعیت راهیابی دانشجویان فارغ‌التحصیلان کارشناسی ارشد دکتری رشته تکنولوژی بازار کار عوامل مؤثر نظ...

In large eddy simulations (LES) of wall-bounded flows, the need to resolve energycarrying eddies in the vicinity of the wall leads to a prohibitive cost which prevents its use at very high Reynolds numbers. To overcome this limitation, many attempts have been made in the last two decades to model the unresolved scales near the wall. These works mainly focused on two different approaches: hybrid...

The paper provides a proposal for an MPLS-based transport network for future Radio Access Networks (RANs) and compares this with a regular IP-based transport network. Our MPLS-based approach takes into account the specific needs of current and future RANs especially with respect to QoS requirements and flexibility. In the paper we compare the MPLS-based solution with a regular IP-based network....

This study investigates linear and nonlinear dynamic LES and unified RANS-LES models obtained by stochastic analysis regarding the simulation of the atmospheric boundary layer. The advantages of dynamic LES methods are their accuracy, the ability to account for anisotropy and backscatter, and their computational stability. The advantage of unified RANS-LES models is their ability to provide res...

Hybrid acoustic prediction methods have an important advantage over the current Reynolds averaged Navier-Stokes (RANS) based methods in that they only involve modeling of the relatively universal subscale motion and not the configuration dependent larger scale turbulence. Unfortunately, they are unable to account for the high frequency sound generated by the turbulence in the initial mixing lay...

In a context of growing awareness and prevalence of mental disorders, cognitive modeling has emerged as an important contribution to the study of the mind and its processes. Computational models have proved to be indispensable tools for precise and systematic simulations of cognitive processes, and have a potential application in the diagnosis and treatment of such pathologies. We propose a con...

We report further progress in the development of agglomerated multigrid techniques for fully unstructured grids in three dimensions. Following the previous studies that identified key elements to grid-independent multigrid convergence for a model equation, and that demonstrated impressive speed-up in single-processor computations for a model diffusion equation, inviscid flows, and Reynolds-aver...