Publications

Displaying 1 - 4 of 4

Inflow Turbulence Effects on Large Eddy Simulations of the Flow around an Axisymmetric Hill

March 7, 2022

Author(s)

Rikhi Bose, Emil Simiu

Turbulent flow around an axisymmetric hill at Reynolds number Re H ∼ 1.3 × 10 5 with respect to the hill height is studied using resolved large-eddy simulations (LES). The purpose of the paper is to examine the effect of turbulence in the inflow boundary

Data-Based Models for Hurricane Evolution Prediction: A Deep Learning Approach

September 8, 2021

Author(s)

Rikhi Bose, Adam L. Pintar, Emil Simiu

Fast and accurate prediction of hurricane evolution from genesis onwards is needed to reduce loss of life and enhance community resilience. In this work, a novel model development methodology for predicting storm trajectory is proposed based on two classes

Forecasting the Evolution of North Atlantic Hurricanes: A Deep Learning Approach

June 30, 2021

Author(s)

Rikhi Bose, Adam L. Pintar, Emil Simiu

Accurate prediction of storm evolution from genesis onwards may be of great importance considering that billions of dollars worth of property damage and numerous casualties are inflicted each year all over the globe. In the present work, two classes of

Simulations of Flow Over an Axisymmetric Hill

February 26, 2021

Author(s)

Rikhi Bose, DongHun Yeo

In this report, high-Reynolds number turbulent flow around an axisymmetric hill is studied using large eddy and unsteady Reynolds averaged Navier-Stokes simulations and the results are extensively validated against experiment. The boundary-layer thickness

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