Vahid Tavanashad

Vahid Tavanashad
Intel

PhD in Mechanical Engineering
Computational Scientist - HPC Specialist

About

11
Publications
1,722
Reads
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92
Citations
Citations since 2017
10 Research Items
92 Citations
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2017201820192020202120222023051015202530
2017201820192020202120222023051015202530
2017201820192020202120222023051015202530
Introduction
Research interests: Computational fluid dynamics, High-performance computing, Numerical methods
Education
October 2015 - May 2020
Iowa State University
Field of study
  • Mechanical Engineering
September 2010 - September 2012
University of Tehran
Field of study
  • Mechanical Engineering
September 2006 - September 2010
University of Tehran
Field of study
  • Mechanical Engineering

Publications

Publications (11)
Article
Full-text available
Velocity fluctuations in the carrier phase and dispersed phase of a dispersed multiphase flow are studied using particle-resolved direct numerical simulation. The simulations correspond to a statistically homogeneous problem with an imposed mean pressure gradient and are presented for $\Re_m=20$ and a wide range of dispersed phase volume fractions...
Article
This study provides a detailed account of stochastic approaches that may be utilized in Eulerian-Lagrangian simulations to account for neighbour-induced drag force fluctuations. The frameworks examined here correspond to Langevin equations for the particle position (PL), particle velocity (VL) and fluctuating drag force (FL). Rigorous derivations o...
Conference Paper
Full-text available
The hypersonic and supersonic aerodynamics usually involve significant shock-wave boundary layer interaction. This work introduces a specialized force partitioning method to analyze the flow features in shock-wave boundary layer interaction problems over rigid and flexible walls. The pressure force on the wall is partitioned into different componen...
Article
Full-text available
Fully resolved simulation of flows with buoyant particles is a challenging problem since buoyant particles are lighter than the surrounding fluid, and as a result, the two phases are strongly coupled together. In this work, the virtual force stabilization technique introduced by Schwarz et al. [Schwarz, S., Kempe, T., & Fröhlich, J. (2015). A tempo...
Article
Full-text available
The objective of this study is to understand the dynamics of freely evolving particle suspensions over a wide range of particle-to-fluid density ratios. The dynamics of particle suspensions are characterized by the average momentum equation, where the dominant contribution to the average momentum transfer between particles and fluid is the average...
Article
Full-text available
We derive analytical solutions for hydrodynamic sources and sinks to granular temperature in moderately dense suspensions of elastic particles at finite Reynolds numbers. Modelling the neighbour-induced drag disturbances with a Langevin equation allows an exact solution for the joint fluctuating acceleration–velocity distribution function 𝑃(𝑣′,𝑎′;𝑡...
Article
Standard Eulerian–Lagrangian (EL) methods generally employ drag force models that only represent the mean hydrodynamic force acting upon a particle-laden suspension. Consequently, higher-order drag force statistics, arising from neighbor-induced flow perturbations, are not accounted for; this has implications on the predictions for particle velocit...
Preprint
Full-text available
We derive analytical solutions for hydrodynamic sources and sinks to granular temperature in moderately dense suspensions of elastic particles at finite Reynolds numbers. Modeling the neighbor-induced drag disturbances with a Langevin equation allows an exact solution for the joint fluctuating acceleration-velocity distribution function P(v',a';t)....
Conference Paper
Full-text available
Traditional structural health monitoring (SHM) techniques are often based on the assumption that the loading is either absent or can be treated as a stationary random variable. Many of the current SHM methods also necessitate strong actuation or an excessive number of sensors unsuitable for high-speed applications. Here we present an SHM technique...
Preprint
Full-text available
Standard Eulerian--Lagrangian (EL) methods generally employ drag force models that only represent the mean hydrodynamic force acting upon a particle-laden suspension. Consequently, higher-order drag force statistics, arising from neighbor-induced flow perturbations, are not accounted for; with implications on predictions for particle velocity varia...
Article
Full-text available
In the present work, the collapse of a single non-spherical gas bubble situated above a rigid wall and surrounded by a viscoelastic liquid is studied numerically using the boundary element method (BEM). Assuming that the liquid obeys the "material" Maxwell modelas its constitutive equation, the modified viscous potential theory developed by Lind an...

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