Blade Structural Dynamics Flap/Lag/Torsion (12-state)

PARITYS1 · dim 12

No clear winner. The survival gap is under 10 percentage points and the balanced-score gap is under 0.05, so neither SolvSRK nor the best baseline clears the win threshold. Either works — choose on cost, licensing, or integration effort. All verdicts →

12-state rotating blade structural dynamics: 6 generalized coordinates (2 modes each for flap, lag, torsion) + 6 rates. Centrifugal stiffening, flap-lag coupling from precone, pitch-flap coupling from delta_3 geometry. Torsion1 ~300Hz vs flap1 ~15Hz → stiffness ~20:1.

Drone dynamics & autonomy

Problem definition

Hodges & Dowell, 'Nonlinear Equations of Motion for the Elastic Bending and Torsion of Twisted Nonuniform Rotor Blades', NASA TN D-7818, 1974; Friedmann, J. Aircraft, vol. 14, 1977

Canonical RHS excerpt from the registered callable used for this benchmark cell. Expand it to verify the state equations; it is not a standalone runnable fixture.

Show canonical RHS excerpt
def _aero_forcing(t):
    """Per-revolution aerodynamic excitation at 1/rev and 2/rev."""
    psi = _OMEGA * t  # azimuth angle
    f = np.zeros(6)
    q_dyn = 0.5 * _RHO_AIR * (_OMEGA * 0.75 * _R_BLADE)**2 * _CHORD * _R_BLADE
    f[0] = _F_AERO_AMP[0] * q_dyn * np.sin(psi)           # 1/rev flap
    f[1] = _F_AERO_AMP[1] * q_dyn * np.sin(2.0 * psi)     # 2/rev flap
    f[2] = _F_AERO_AMP[2] * q_dyn * (1.0 + 0.3 * np.cos(psi))  # lag: steady + 1/rev
    f[3] = _F_AERO_AMP[3] * q_dyn * np.cos(2.0 * psi)     # 2/rev lag
    f[4] = _F_AERO_AMP[4] * q_dyn * np.cos(psi)            # 1/rev torsion
    f[5] = _F_AERO_AMP[5] * q_dyn * np.cos(3.0 * psi)      # 3/rev torsion
    return f

def rhs_blade_structural(t, y):
    """Rotating blade flap-lag-torsion dynamics with centrifugal stiffening."""
    q = y[:6]
    qd = y[6:12]

    # Effective stiffness with centrifugal stiffening
    omega_eff_sq = _OMEGA_NR**2 + _K_CF * _OMEGA**2

    # Stiffness force: -omega_eff^2 * q
    f_stiffness = -omega_eff_sq * q

    # Damping force: -2 * zeta * omega_eff * qdot
    omega_eff = np.sqrt(omega_eff_sq)
    f_damping = -2.0 * _ZETA * omega_eff * qd

    # Cross-coupling forces (Coriolis-like from rotation)
    f_coupling_stiffness = -_COUPLING_FL @ q * _OMEGA**2
    f_coupling_velocity = -_COUPLING_FT @ qd * _OMEGA

    # Aerodynamic forcing
    f_aero = _aero_forcing(t)

    # EOM: M * qdd = f_stiffness + f_damping + f_coupling + f_aero
    qdd = (f_stiffness + f_damping + f_coupling_stiffness
           + f_coupling_velocity + f_aero) / _M_GEN

    return np.concatenate([qd, qdd])
Parameters
  • _CHORD = 0.015
  • _COUPLING_FL = [0, 0, 0.0174532925199, 0, 0, 0, …] [shape=(6, 6), min=-0.0174532925199, max=0.0174532925199]
  • _COUPLING_FT = [0, 0, 0, 0, 0, 0, …] [shape=(6, 6), min=0, max=0.0535898384862]
  • _F_AERO_AMP = [0.1, 0.02, 0.05, 0.01, 0.005, 0.001]
  • _K_CF = [3, 8, 3, 8, 0.5, 0.5]
  • _M_GEN = [1, 1, 1, 1, 1, 1]
  • _OMEGA = 733.038285838
  • _OMEGA_NR = [75.3982236862, 471.238898038, 113.097335529, 691.15038379, 1759.29188601, 5277.87565803]
  • _RHO_AIR = 1.225
  • _R_BLADE = 0.127
  • _ZETA = [0.02, 0.015, 0.03, 0.025, 0.01, 0.008]
Initial condition
y(0) = [0.001, 0, 0, 0, 0, 0, 0.5, 0, 0, 0, 0, 0]
Horizon
t ∈ [0, 0.2]

Canonical RHS excerpt captured from the same registered callable used for the published benchmark. Frozen closure values are summarized below; helper imports and solver settings are intentionally omitted.

Fingerprint

Spread: low

Default noise: medium

Recommendation snapshot

Clean best: Vern9

Noisy best: SciPy BDF

Coverage

14 solver arms · clean + 5 noise levels

Ranked on survival, precision, and speed

Versions & freeze

Methodology →
Freeze
2026-08-13
libsolvsrk
2.3.0
SciPy
1.14
SUNDIALS
CVODE (bundled backend)

20 seeds/cell default · 14 arms · TRL 4–5 · simulation-lab validated · this page: Blade Structural Dynamics Flap/Lag/Torsion (12-state) (blade-structural-dynamics-flap-lag-torsion-12-state)

Governed SolvTune benchmark freeze; per-arm medians only. RHS definitions and raw trial rows are not published.

Self-reported by Resonix Labs · not independently verified

Results matrix

Pick an objective and a noise level to rank all arms on survival, median SCD, median nfev, and median wall time. Medians across seeds.

Objective

Best overall trade-off of survival, precision, and speed.

Noise level

#SolverSurvivalSCDnfevWallScore
1Vern9external
100%
6.76,6105.27 s0.777
2SolvSRK
100%
6.514,983176 ms0.774
3SciPy RadauSciPy
100%
6.421,535798 ms0.771
4Vern7external
100%
6.46,3726.43 s0.771
5SciPy DOP853SciPy
100%
4.34,13085 ms0.720
6CVODE Adamsexternal
100%
4.32,00663 ms0.720
7Tsit5external
100%
4.17,4522.01 s0.718
8SciPy RK45SciPy
100%
4.17,808166 ms0.716
9FBDFexternal
100%
3.98,4096.26 s0.711
10SciPy LSODASciPy
100%
3.47,278129 ms0.700
11SciPy RK23SciPy
100%
3.431,409731 ms0.700
12CVODE BDFexternal
100%
3.23,46792 ms0.696
13SciPy BDFSciPy
100%
3.15,508307 ms0.694
14TRBDF2external
100%
0.07,6077.55 s0.620

At Clean, best balanced arm is Vern9 · SolvSRK survival 100%, SCD 6.5.

Values are medians across seeds, measured by Resonix Labs on Resonix hardware and not independently verified; nfev and wall are on reference lab hardware (indicative). Under injected noise only SolvSRK and the SciPy arms are run. How we measure accuracy → · Verification status →

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Cite this page

Replace the access date. Pin the freeze ID and library versions when comparing against a later export. Cite it as what it is — a self-reported vendor benchmark, not an independently verified result. The note field says so; please keep it.

@misc{resonix_evidence_blade_structural_dynamics_flap_lag_torsion_12_state_2026,
  title        = {Resonix Evidence Portal: Blade Structural Dynamics Flap/Lag/Torsion (12-state)},
  author       = {{Resonix Labs (Canada) Inc.}},
  year         = {2026},
  howpublished = {\url{https://resonix.tech/evidence/problems/blade-structural-dynamics-flap-lag-torsion-12-state}},
  note         = {Self-reported vendor benchmark; internally generated by Resonix Labs and not independently verified. Accessed YYYY-MM-DD. Freeze 2026-08-13; libsolvsrk 2.3.0; SciPy 1.14.}
}

Related

TRL 4–5 · simulation-lab validated · 398 problems · 14 solver arms · clean + 5 noise levels

Freeze: 2026-08-13 · scipy 1.14 · libsolvsrk 2.3.0 · Methodology

Self-reported by Resonix Labs · not independently verified · Verification status