Adam Sierakowski
Johns Hopkins University
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Publication
Featured researches published by Adam Sierakowski.
Journal of Computational Physics | 2016
Adam Sierakowski; Andrea Prosperetti
We present enhancements and new capabilities of the Physalis method for simulating disperse multiphase flows using particle-resolved simulation. The current work enhances the previous method by incorporating a new type of pressure-Poisson solver that couples with a new Physalis particle pressure boundary condition scheme and a new particle interior treatment to significantly improve overall numerical efficiency. Further, we implement a more efficient method of calculating the Physalis scalar products and incorporate short-range particle interaction models. We provide validation and benchmarking for the Physalis method against experiments of a sedimenting particle and of normal wall collisions. We conclude with an illustrative simulation of 2048 particles sedimenting in a duct. In the appendix, we present a complete and self-consistent description of the analytical development and numerical methods.
Computer Physics Communications | 2016
Adam Sierakowski
We present work on a new implementation of the Physalis method for resolved-particle disperse two-phase flow simulations. We discuss specifically our GPU-centric programming model that avoids all device-host data communication during the simulation. Summarizing the details underlying the implementation of the Physalis method, we illustrate the application of two GPU-centric parallelization paradigms and record insights on how to best leverage the GPU’s prioritization of bandwidth over latency. We perform a comparison of the computational efficiency between the current GPU-centric implementation and a legacy serial-CPU-optimized code and conclude that the GPU hardware accounts for run time improvements up to a factor of 60 by carefully normalizing the run times of both codes.
Journal of Computational Physics | 2017
Yayun Wang; Adam Sierakowski; Andrea Prosperetti
Abstract The physalis method for the fully-resolved simulation of particulate flows is extended to include heat transfer between the particles and the fluid. The particles are treated in the lumped capacitance approximation. The simulation of several steady and time-dependent situations for which exact solutions or exact balance relations are available illustrates the accuracy and reliability of the method. Some examples including natural convection in the Boussinesq approximation are also described.
Physical Review Fluids | 2017
Daniel Willen; Adam Sierakowski; Gedi Zhou; Andrea Prosperetti
Bulletin of the American Physical Society | 2016
Yayun Wang; Adam Sierakowski; Andrea Prosperetti
Bulletin of the American Physical Society | 2016
Adam Sierakowski; Laura Johanna Lukassen
Bulletin of the American Physical Society | 2016
Daniel Willen; Adam Sierakowski; Andrea Prosperetti
Bulletin of the American Physical Society | 2015
Adam Sierakowski
Bulletin of the American Physical Society | 2015
Daniel Willen; Adam Sierakowski; Andrea Prosperetti
Archive | 2014
Laura Johanna Lukassen; Adam Sierakowski; Martin Oberlack