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Business Case

Stress-Testing Shock Capturing with Double Mach Reflection

Example: 2d-double-mach-reflection
  • Aerospace
  • Energy
  • Oil & Gas

What This Simulation Does

The 2d-double-mach-reflection example drives a strong Mach 10 shock into an inclined wall, generating the canonical double Mach reflection pattern: incident and reflected shocks, a Mach stem, a slip line, and a triple point. It is one of the most demanding stress tests for shock capturing in high-order solvers.

- Compressible Euler equations — inviscid single-phase ideal gas (γ = 1.4) with entropy-filter shock capturing

- Entropy filter — enforces a discrete minimum-entropy principle, keeping the high-order solution positive and oscillation-free across the Mach-10 shock

- Moving-shock boundary — a time-dependent moving-shock condition on the top boundary reproduces the classic setup exactly

Key Parameters

- Grid: quadrilateral elements, polynomial order 3; Gauss–Legendre points

- Post-shock state (ρ, u, v, p) = (8.0, 7.145, −4.125, 116.5) vs ambient (1.4, 0, 0, 1.0)

- Scheme: HLLC Riemann solver; entropy filter (2 iterations); explicit RK4

- Time: fixed Δt = 5 × 10-6, tend = 0.2

The core transferable physics: A strong shock reflects off a surface and produces complex shock–shock interactions. Whether a solver can capture these sharp discontinuities without spurious oscillations — while preserving positivity of density and pressure — determines whether it can be trusted on supersonic inlets, blast loading, and high-pressure valve flows.


What Makes This Capability Unique

Entropy-filter shock capturing

A provably positivity-preserving, minimum-entropy filter keeps high-order accuracy in smooth regions while cleanly capturing Mach-10 discontinuities.

HLLC Riemann resolution

The HLLC solver resolves the contact/slip line and the triple point sharply — the structures that carry the physics of shock-focusing loads.

High-order in smooth regions

Unlike low-order shock solvers, high-order flux reconstruction keeps smooth-region accuracy so peak loads and wave arrival times are not smeared.

Robust at extreme Mach

A stable Mach-10 result on a browser-launched GPU run demonstrates the solver is ready for hypersonic and blast-class problems.


Domain Applications

Select a domain to see how this simulation applies, with industry-specific scenarios and ROI.

The Problem

Hypersonic vehicles, supersonic inlets, and store-separation events are dominated by strong shock reflections and shock–shock interactions. The Mach stem and triple point that form in a double Mach reflection are the same structures that create localized pressure and heating spikes on real airframes — and mis-predicting them can mean structural or thermal-protection failure.

- Shock–boundary-layer and shock–shock interaction drives peak heating on inlets and control surfaces; low-order smearing hides these hot spots.

- Wind-tunnel testing at Mach 10 is scarce and costs $50K–$200K per run; validated shock-capturing CFD offsets many of these.

Global hypersonics R&D exceeds $5B/year, and TPS redesign after a missed heating prediction can cost $10M+.

Applications

ApplicationHow this simulation maps
Hypersonic inlet shock trainReflected-shock and Mach-stem structure maps directly to inlet compression; predicts peak pressure and heating locations
Control-surface shock impingementTriple-point loading indicates where localized heating and pressure spikes hit deflected surfaces
Store / stage separationMoving-shock interactions between bodies validated before expensive coupled 6-DOF runs
TPS sizingSharp shock capture yields the peak heat flux needed to size thermal protection with less margin

Quantifiable Business Value

Scenario: A hypersonics team validates shock-capturing fidelity on this benchmark, then replaces several Mach-10 wind-tunnel entries with GPU CFD and sizes TPS with tighter, evidence-based margins.

MetricTunnel-led programValidated-CFD program
Mach-10 tunnel entries208
Cost per entry$120,000$120,000
Tunnel spend$2,400,000$960,000
TPS over-margin mass penaltyhighreduced
Direct test savings$1,440,000

Lighter, evidence-based TPS margins add range/payload worth far more than the direct test savings over a vehicle program.


Recommended Next Steps

1

Confirm shock-capturing fidelity

Run the benchmark and verify the Mach stem, slip line, and triple point are sharp and oscillation-free at your target resolution.

2

Sweep shock strength

Vary the incident Mach number and wall angle to bracket your application's reflected-shock loads.

3

Apply to your geometry

Carry the verified entropy-filter settings into a simulation of your inlet, vent, or valve to predict peak loads.

Ready to Run This Simulation?

Run this example on SRS's cloud platform. No installation, no infrastructure management — just results.

For questions or to schedule a technical briefing, contact the SRS simulation team.

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