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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:
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Euler and compressible Navier-Stokes solvers
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High-order conservative shock- and interface-capturing WCNS family including the sixth-order localized dissipation WCNS
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Sixth-order finite difference schemes for diffusive/viscous flux in conservative or non-conservative form
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Value, gradient and multiresolution wavelet sensors for identifying regions for refinement
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Single-species, four-equation (assuming isothermal and isobaric equilibria between species) and five-equation (assuming isobaric equilibrium between species) multi-species flow models
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Multi-time stepping with Runge-Kutta schemes
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Characteristic non-reflecting boundary conditions
Wong, M. L., Baltzer, J. R., Livescu, D., & Lele, S. K. (2022). Analysis of second moments and their budgets for Richtmyer-Meshkov instability and variable-density turbulence induced by reshock. Physical Review Fluids, 7(4), 044602. [full text]
Huang, D. Z., Wong, M. L., Lele, S. K., & Farhat, C. (2021). Homogenized Flux-Body Force Treatment of Compressible Viscous Porous Wall Boundary Conditions. AIAA Journal, 1-15. [full text]
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]
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]
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]
Aslangil, D., & Wong, M. L. (2022). Study of iso-thermal stratification strength on 2D multi-mode compressible Rayleigh-Taylor instability. In AIAA SCITECH 2022 Forum (p. 0456). [full text]
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