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Man-Long (Norman) Wong edited this page May 31, 2020 · 21 revisions

Welcome to the HAMeRS wiki!

HAMeRS is a compressible Navier-Stokes/Euler solver with the patch-based adaptive mesh refinement (AMR) technique. The parallelization of the code and all the construction, management and storage of cells are facilitated by the Structured Adaptive Mesh Refinement Application Infrastructure (SAMRAI) from the Lawrence Livermore National Laboratory (LLNL).

The code consists of various explicit high-order finite difference shock-capturing WCNS's (Weighted Compact Nonlinear Schemes) for capturing shock waves, material interfaces, and turbulent features. The AMR algorithm implemented is based on the one developed by Berger et al.

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:

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

SF6-Air

Another animation of shock-bubble interaction simulation using HAMeRS

SF6-Air

Journal Articles:

Wong, M. L., Livescu, D., & Lele, S. K. (2019). High-resolution Navier-Stokes simulations of Richtmyer-Meshkov instability with reshock. Physical Review Fluids, 4(10), 104609. [full text]

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. [full text]

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. [full text]

Other Articles:

Huang, D. Z., Wong, M. L., Lele, S. K., & Farhat, C. (2019). A Homogenized Flux-Body Force Approach for Modeling Porous Wall Boundary Conditions in Compressible Viscous Flows. arXiv preprint arXiv:1907.09632. [full text]

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