HAVA-DSMCX1

GPU-accelerated DSMC solver for rarefied and nonequilibrium flows.

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Direct simulation Monte Carlo · GPU

HAVA-DSMCX1

Kinetic DSMC solver for rarefied and nonequilibrium flows: hypersonic vehicles, spacecraft plumes, high-altitude aerothermodynamics and gas–surface interaction.

• 50–100× faster than CPU DSMC
• Continuum to free-molecular
• Runtime visualization

Overview

HAVA-DSMCX1 is an in-house, GPU-accelerated direct simulation Monte Carlo (DSMC) solver developed by the PI for rarefied gas dynamics and nonequilibrium flows. DSMC is a widely used method for solving the Boltzmann transport equation where continuum assumptions break down, including hypersonic flows, spacecraft plumes, high-altitude aerothermodynamics, vacuum expansions and plume–surface interactions.

HAVA-DSMCX1 is designed for modern GPU architectures, enabling large simulations that would otherwise need substantial CPU resources. Highly optimized particle-movement, collision and sampling algorithms give speedups above 50–100× over traditional CPU-based DSMC implementations, depending on the problem and hardware.

The software supports steady and time-accurate three-dimensional flows with complex geometries, moving boundaries, gas–surface interactions and multi-species mixtures in thermal nonequilibrium. Particle weighting and adaptive sampling allow efficient simulations across Knudsen numbers from continuum to free-molecular flow.

GPU-based rendering and rasterization let flow-field quantities be visualized during the run, removing expensive post-processing for simulations with hundreds of millions of particles.

Physical models

Collision cross sections use the Variable Hard Sphere (VHS) and Variable Soft Sphere (VSS) models. Energy exchange between translational and internal modes uses the Larsen–Borgnakke approach, with internal energy relaxation rates from the Millikan–White and Parker models.

Ongoing work

The solver is the kinetic component of the HAVA multi-fidelity framework and is being integrated with GPU-accelerated Navier–Stokes and hybrid continuum–kinetic solvers. Ongoing developments include gas-phase chemistry, gas–surface reactions, particle-laden flows, plasma and electromagnetic effects, and machine-learning-assisted acceleration for next-generation hypersonic and space applications.

Simulations & verification