DRONEOD PHYSICS MODEL · CORE SIMULATION ENGINE

DRONEOD PHYSICS MODEL · CORE SIMULATION ENGINE

ERNEST

ERNEST

ERNEST

Fly it a thousand times before you build it once.

Fly it a thousand times before you build it once.

ERNEST is the physics brain behind every DroneOD airframe: coupled fluid-structure interaction and CFD, all-terrain fatigue and finite element analysis, on-demand digital wind tunnels, and a research track applying quantum algorithms to the Navier–Stokes equations.

● LIVE SOLVE · CFD FIELD

ITER 004200

RESIDUAL 4.1e-06

CELLS 4.8 M

Cl/Cd 18.4

● FOUR PILLARS

One coupled model. Air, structure, ground, and the maths underneath.

FSI + CFD

TWO-WAY COUPLED
AEROELASTIC SOLVE

FEA + Fatigue

ALL-TERRAIN LOAD
SPECTRA · LIFE PREDICTION

Digital Tunnels

ON-DEMAND · PARALLEL
DIGITAL TWIN VALIDATED

Quantum N–S

RESEARCH TRACK
NAVIER–STOKES ALGORITHMS

§ 01 — SIMULATION USING FSI AND CFD

The air bends the wing. The wing bends the air.

Solve those two problems separately and you get an answer that’s wrong in exactly the regime you care about. ERNEST solves them together.

Uncoupled CFD assumes a rigid airframe. Real airframes deform under load, and that deformation changes the flow field that caused it. ERNEST runs two-way coupled fluid-structure interaction: pressure loads enter the structural solver, a deformed geometry returns to the mesh, and the loop repeats at every timestep.

COUPLING TWO-WAY · PARTITIONED

FLUID SOLVER UNSTEADY RANS · LES

PREDICTS FLUTTER · GUST RESPONSE

● FIG.01 / TWO-WAY COUPLED SOLVE

FLUID SOLVE

PRESSURE LOADS →

STRUCTURAL SOLVE

DEFORMED MESH ↻

TIP DEFL 14.2 MM · CONVERGED

§ 02 — ALL-TERRAIN FATIGUE AND FINITE ELEMENT ANALYSIS

Nothing fails on the first flight. It fails on the ten thousandth.

Peak stress tells you if an airframe breaks today. Fatigue tells you when it breaks — and that’s the number that matters to an operator flying a roster.

● FIG.02 / STRESS FIELD + S–N DAMAGE

TERRAIN CASE · MOORLAND TURBULENCE
σ MAX 214 MPA · LIFE 3,400 FH

ERNEST builds load spectra from real terrain — moorland turbulence, coastal gusts, urban canyon shear, thermal cycling, and hard recovery. Finite element analysis resolves stress through every joint, boom and mount; rainflow counting reduces the spectrum; damage accumulates against material S–N curves.

LOAD SPECTRA TERRAIN-DERIVED DUTY CYCLES

METHOD FEA + RAINFLOW + MINER’S RULE

OUTPUT COMPONENT LIFE IN FLIGHT HOURS

§ 03 — ON-DEMAND WIND TUNNELS · DIGITAL TWINS

A wind tunnel costs a fortune. We run forty at once.

Physical tunnel time is scarce, expensive, and serial. Digital tunnels are none of those things — provided the twin is honest.

Define geometry, sweep, and atmosphere, then run the entire envelope in parallel: angle of attack, sideslip, Reynolds number, gust profile, rotor wash, and ground effect. Flight-test telemetry is returned to correct the model, because a twin that isn’t validated against real flight is only a nice picture.

SWEEP AXES α · β · Re · GUST · GROUND EFFECT

EXECUTION PARALLEL · ON-DEMAND

DELIVERS FULL AERO DATABASE PER AIRFRAME

● FIG.03 / DIGITAL TUNNEL · α SWEEP

RUN QUEUE · 40 CONFIGURATIONS
COMPLETE 24 / 40 · α = 8.0°

§ 04 — QUANTUM ALGORITHMS FOR NAVIER–STOKES

Turbulence is the last unsolved problem. We’re betting on new maths.

Every CFD solve is an approximation of an equation no-one can solve exactly. That ceiling is where our research track lives.

Classical CFD cost scales brutally with Reynolds number. ERNEST’s quantum track explores mappings such as Carleman linearisation, lattice-Boltzmann formulations, and quantum linear-system algorithms. The production solver is classical; the research is genuine, carefully labelled, and built so it can move when the hardware does.

APPROACHES CARLEMAN · LATTICE-BOLTZMANN · QLSA

TARGET HIGH-Re TURBULENT CLOSURE

STATUS RESEARCH TRACK · NOT IN PRODUCTION

FIG.04 / CIRCUIT + COST SCALING

H

Rz

Rx

⊕

ENCODED VELOCITY FIELD · |ψ⟩
ILLUSTRATIVE — NOT BENCHMARK DATA

§ 05 — ALL CONDITIONS · CIVIL AND CRITICAL OPERATIONS

Good weather is the easy case. Nobody calls you for the easy case.

ERNEST models the full environmental envelope — storms, natural disasters, and critical conditions — because the flights that matter most happen in exactly the weather that grounds everyone else.

● FIG.05 / ENVIRONMENTAL ENVELOPE

CASE · STORM FRONT

WIND
24 m/s

GUST
38 m/s

OAT
+7 °C

VIS
1.2 km

LOAD
2.4 g

TERRAIN
COASTAL

● CIVIL · EMERGENCY RESPONSE

When the weather is the emergency.

Storm and flood assessment · Wildfire mapping · Post-earthquake survey · Mountain and coastal SAR. Gust-load envelopes, thermal columns, icing accretion, and debris exposure are modelled against the airframe before it is committed.

● CRITICAL OPERATIONS

Environments chosen by the moment.

Maritime and littoral flight · Desert and arctic deployment · Blast and shock response · Degraded-environment flight. Salt spray, temperature extremes, debris loading, and navigation loss feed an honest go/no-go operating boundary.

§ 06 — WHAT ERNEST ANSWERS

Questions you’d otherwise answer with a crash.

Every one of these is a real engineering question ERNEST resolves before metal is cut or a pilot is put behind the sticks.

FSI

V–g / V–f

CAP.01

Flutter Margin

Find the aeroelastic boundary and the mode that gets there first.

CFD

THRUST LOSS

CAP.02

Rotor Wash

Resolve download, recirculation, interference, and ground effect.

FEA

FLIGHT HOURS

CAP.03

Component Life

Terrain-derived spectra produce per-component maintenance lives.

FSI + CFD

CONTROL GAINS

CAP.04

Gust Response

Coupled gust cases feed load envelopes and controller gains.

TUNNEL

Cl · Cd · Cm

CAP.05

Aero Database

Build the complete coefficient set across the flight envelope.

CFD

JUNCTION TEMP

CAP.06

Thermal Budget

Test payload and compute thermal loads against real airspeed.

IMPACT

RISK CASE

CAP.07

Crashworthiness

Map energy absorption under hard landings and ground strikes.

BAYES OPT

RIB / SPAR

CAP.08

Structural Optimisation

Search for morph authority per unit mass inside flutter constraints.

ALL-CONDITION

GO / NO-GO

CAP.09

Storm Envelope

Produce a certified go/no-go boundary for critical-condition flight.

§ 07 — HOW A DESIGN MOVES THROUGH ERNEST

Geometry in. Certified airframe out.

01 · DEFINE

Geometry & materials

CAD import · layup schedule · mass and inertia.

02 · SOLVE

Coupled physics

CFD flow field · FSI loop · FEA stress resolution.

03 · SWEEP

Digital tunnel

α · β · Re envelope · gust and terrain cases.

04 · OPTIMISE

Search the design space

Bayesian optimisation · fatigue life · flutter constraint.

05 · CORRECT

Twin vs real flight

Flight telemetry · residual error · model correction.

§ 08 — WHY A PHYSICS MODEL AT ALL

Prototypes are expensive opinions.

2-WAY
COUPLED FLUID ↔ STRUCTURE

40×
PARALLEL TUNNEL RUNS

PER-PART
FATIGUE LIFE IN FLIGHT HOURS

ALL-CONDITION
STORM · DISASTER · CRITICAL

§ 09 — QUESTIONS

Straight answers.

Does ERNEST replace physical testing?

Is the quantum work actually running today?

How accurate is the digital twin?

Can we run our own airframe through it?

§ 10 — NEXT STEP

Break it in the model. Not in the field.

Break it in the model. Not in the field.

Simulation studies, digital-tunnel sweeps, fatigue assessments, and critical-condition envelopes for airframe designers and operational teams.

Securing The Skies For Drone Autonomy.

DroneOD©, 2025

1ST1 , DUNS: 230859489 CH: 10534391 ESA:1000043786

Securing The Skies For
Drone Autonomy.

DroneOD©, 2025

1ST1 , DUNS: 230859489 CH: 10534391 ESA:1000043786

Securing The Skies For
Drone Autonomy.

DroneOD©, 2025

1ST1 , DUNS: 230859489 CH: 10534391 ESA:1000043786