Andrew Bragg

Conference Data Compression Conference Proceedings · January 1, 2022 Analyzing large-scale data from simulations of turbulent flows is memory intensive, requiring significant resources. This major challenge highlights the need for data compression techniques. In this study, we apply a physics-informed Deep Learning techniqu ... Full text Cite

The Conservative Pressure Hessian and the Free Fluid Particle Model

Conference Springer Proceedings in Physics · January 1, 2021 In this work we aim to understand the interplay between deformation and energy of a fluid particle in a turbulent flow, focusing on the role of the pressure Hessian. A new decomposition of the Hessian is proposed, defining a conservative Hessian which cont ... Full text Cite

The influence of reynolds and froude number on the local distribution of settling, inertial particles in turbulence

Conference AIAA Scitech 2020 Forum · January 1, 2020 Particle-laden turbulent flows appear in a diverse range of engineering systems and natural phenomena and have been widely investigated in many theoretical, numerical and experimental studies. In this study, we employ Direct Numerical Simulations (DNS) to ... Full text Cite

Modulation of fluid temperature fluctuations by inertial particles in turbulence

Conference Springer Proceedings in Physics · January 1, 2019 We investigate the effect of the thermal two-way coupling between the fluid temperature field and point-like particles on the temperature statistics in homogeneous and isotropic steady turbulence by means of direct numerical simulations (DNS). Results show ... Full text Cite