HTR-1.3 solver: Predicting electrified combustion using the hypersonic task-based research solver

This manuscript presents an updated open-source version of the Hypersonics Task-based Research (HTR) solver. The solver, whose main features are presented in Di Renzo et al. (2020) [9] and & Pirozzoli (2021) [10], is designed for direct numerical simulation reacting flows at high Reynolds numbers. new extends applications HTR solver to turbulent combustion presence external electric fields. In particular, a distributed Poisson compatible with heterogeneous architectures has been incorporated algorithm compute potential distribution bi-periodic configurations. drift fluxes electrically charged species now included transport equations using targeted essentially non-oscillatory scheme. A verification these provided one-dimensional burner stabilized flames, whereas three dimensional flame utilized discuss scalability proposed tool. Program Title: CPC Library link program files: https://doi.org/10.17632/9zsxjtzfr7.3 Developer's repository link: https://github.com/stanfordhpccenter/HTR-solver.git Licensing provisions: BSD 2-clause Programming language: Regent, C++, CUDA Journal reference previous versions: M. Renzo, L. Fu, J. Urzay, solver: exascale-oriented task-based multi-GPU high-order code hypersonic aerothermodynamics, Comput. Phys. Commun. 255 107262. S. Pirozzoli, HTR-1.2 research 1.2, 261 107733. Does supersede version?: Yes Reasons version: New Summary revisions: normalization multicomponent mixture Lu Law [1] 30 chemical scheme added as model methane air TENO-LAD [2] implemented option inviscid discretization FFT-based problems calculation properties (n,6,4) interaction theory charge-neutral interactions optional module ion-wind effects on FFCM-1 [3] Boivin [4] hydrogen Nature problem: solves compressible Navier-Stokes Mach numbers including finite-rate chemistry complex transport. methods simulations (DNS) number flows, such transitional boundary layers enthalpy flames. Solution method: uses low-dissipation finite difference schemes spatial conservation Cartesian stretched grids. time advancement performed either explicit method, when slow therefore does not introduce additional stiffness integration, or operator-splitting method that integrates production rates implicit discretization. Additional comments restrictions unusual features: builds runtime Legion [5] written programming language Regent [6] recently developed Stanford University. Instructions installation components README.md file enclosed repository. T. Lu, C.K. Law, criterion based computational singular perturbation identification quasi steady state species: reduced mechanism oxidation NO chemistry, Combust. Flame 154 (4) (2008) 761-774. Peng, Liu, Li, K. Zhang, Y. Shen, An efficient ENO local adaptive dissipation flow simulation, 425 109902. Smith G.P., Tao Y., H. Wang, Foundational Fuel Chemistry Model 1.0 (FFCM-1), http://nanoenergy.stanford.edu/ffcm1, 2016. P. Boivin, C. Jiménez, A.L. Sánchez, F.A. Williams, H2–air combustion, Proc. Inst. 33 (1) (2011) 517-523. web page: https://legion.stanford.edu http://regent-lang.org