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20072022
most citedTurbulence Modeling in the Age of Data

1.5k citations · 2.3k across the 33 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

physics.comp-ph2018

Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence

Hillary R. Fairbanks, Lluis Jofre, Gianluca Geraci +2

Efficiently performing predictive studies of irradiated particle-laden turbulent flows has the potential of providing significant contributions towards better understanding and opt…

physics.comp-ph2018★ 38 cited

Immersed-finite-element method for deformable particle suspensions in viscous and viscoelastic media

Amir Saadat, Chris J. Guido, Gianluca Iaccarino +1

Deformable elastic bodies in viscous and viscoelastic media constitute a large portion of synthetic and biological complex fluids. We present a parallelized 3D-simulation methodolo…

stat.ME2018★ 1 cited

Cutting the Double Loop: Theory and Algorithms for Reliability-Based Design Optimization with Statistical Uncertainty

Zachary del Rosario, Richard W. Fenrich, Gianluca Iaccarino

Statistical uncertainties complicate engineering design -- confounding regulated design approaches, and degrading the performance of reliability efforts. The simplest means to tack…

math.NA2018

Quadrature Strategies for Constructing Polynomial Approximations

Pranay Seshadri, Gianluca Iaccarino, Tiziano Ghisu

Finding suitable points for multivariate polynomial interpolation and approximation is a challenging task. Yet, despite this challenge, there has been tremendous research dedicated…

physics.flu-dyn2018★ 1.5k cited

Turbulence Modeling in the Age of Data

Karthik Duraisamy, Gianluca Iaccarino, Heng Xiao

Data from experiments and direct simulations of turbulence have historically been used to calibrate simple engineering models such as those based on the Reynolds-averaged Navier--S…

physics.flu-dyn2018★ 3 cited

An uncertainty estimation module for turbulence model predictions in SU2

Aashwin Ananda Mishra, Jayant Mukhopadhaya, Gianluca Iaccarino +1

With the advent of improved computational resources, aerospace design has testing-based process to a simulation-driven procedure, wherein uncertainties in design and operating cond…

physics.comp-ph2018★ 24 cited

Multi-fidelity uncertainty quantification of irradiated particle-laden turbulence

Lluis Jofre, Gianluca Geraci, Hillary Fairbanks +2

The study of complex systems is often based on computationally intensive, high-fidelity, simulations. To build confidence in the prediction accuracy of such simulations, the impact…