Skip to content Skip to navigation

HAMeRS

Hydrodynamics Adaptive Mesh Refinement Simulator (HAMeRS)

HAMeRS (github here) is an in-house flow solver to provide the capability to simulate compressible single-species and multi-species flows with dynamic mesh refinement technique and high-order methods. The solver is designed with the object-oriented methodology. Parallelization of code, management and storage of data are facilitated by the SAMRAI library, which is a high-performance library for patched-based adaptive mesh refinement (AMR) from Lawrence Livermore National Laboratory (LLNL).

Currently, following features have been implemented:

- Euler and compressible Navier-Stokes solvers

- High-order conservative shock- and interface-capturing WCNS family including the sixth-order localized dissipation WCNS

- Sixth-order finite difference schemes for diffusive/viscous flux in conservative or non-conservative form

- Value, gradient and multiresolution wavelet sensors for identifying regions for refinement

- Single-species, four-equation (assuming isothermal and isobaric equilibria between species) and five-equation (assuming isobaric equilibrium between species) multi-species flow models

- Multi-time stepping with Runge-Kutta schemes

Component graph of HAMeRS:

Framework of HAMeRS

Animation of SF6-Air Richtmyer-Meshkov instability simulation using HAMeRS with 10,008 CPU cores:

Another animation of shock-bubble interaction simulation using HAMeRS:

 

Journal Articles:

Wong, M. L., & Lele, S. K. (2017). High-order localized dissipation weighted compact nonlinear scheme for shock-and interface-capturing in compressible flows. Journal of Computational Physics, 339, 179-209. [full text]

Posters:

Wong, M. L., Livescu, D., & Lele, S. K. (2018). Adaptive Mesh Refinement Simulations of Richtmyer-Meshkov Instability with Re-Shock. In Thermal & Fluid Sciences Affiliates and Sponsors Conference 2018. [poster]

Wong, M. L., & Lele, S. K. (2017). High-Order Adaptive Mesh Refinement Framework for Shock-Induced Mixing. In 57th Annual Meeting of the Affiliates of Stanford University in Aeronautics and Astronautics. [poster]

Talks and Conferences:

Wong, M. L., & Lele, S. K. (2016). Multiresolution Feature Detection in Adaptive Mesh Refinement with High-Order Shock-and Interface-Capturing Scheme. In 46th AIAA Fluid Dynamics Conference. [paper]

Wong, M. L., & Lele, S. K. (2016). Improved weighted compact nonlinear scheme for flows with shocks and material interfaces: algorithm and assessment. In 54th AIAA Aerospace Sciences Meeting. [paper]