Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Adam Sierakowski is active.

Publication


Featured researches published by Adam Sierakowski.


Journal of Computational Physics | 2016

Resolved-particle simulation by the Physalis method

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

GPU-centric resolved-particle disperse two-phase flow simulation using the Physalis method

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

Fully resolved simulation of particulate flows with particles-fluid heat transfer

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

Continuity waves in resolved-particle simulations of fluidized beds

Daniel Willen; Adam Sierakowski; Gedi Zhou; Andrea Prosperetti


Bulletin of the American Physical Society | 2016

Fully-resolved simulation of particle rotation in a turbulent flow

Yayun Wang; Adam Sierakowski; Andrea Prosperetti


Bulletin of the American Physical Society | 2016

Closing the reduced position-space Fokker-Planck equation for shear-induced diffusion using the Physalis method

Adam Sierakowski; Laura Johanna Lukassen


Bulletin of the American Physical Society | 2016

Continuity waves in fully resolved simulations of settling particles

Daniel Willen; Adam Sierakowski; Andrea Prosperetti


Bulletin of the American Physical Society | 2015

Validation of a Hertzian contact model with nonlinear damping

Adam Sierakowski


Bulletin of the American Physical Society | 2015

Fully resolved simulations of 2,000 fluidized particles

Daniel Willen; Adam Sierakowski; Andrea Prosperetti


Archive | 2014

Numerical parameter determination for a new Fokker-Planck approach for shear-induced diffusion of non-Brownian particles using particle DNS

Laura Johanna Lukassen; Adam Sierakowski; Martin Oberlack

Collaboration


Dive into the Adam Sierakowski's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Daniel Willen

Johns Hopkins University

View shared research outputs
Top Co-Authors

Avatar

Yayun Wang

Johns Hopkins University

View shared research outputs
Top Co-Authors

Avatar

Gedi Zhou

Johns Hopkins University

View shared research outputs
Top Co-Authors

Avatar

Martin Oberlack

Technische Universität Darmstadt

View shared research outputs
Researchain Logo
Decentralizing Knowledge