Manufacturable, Machine-Verified Composite, Aeroelastic & Impedance Hardware Systems.
aska-physical translates discrete-geometry, continuum homogenization, and impedance-spectroscopy theorems from Foundation-0 into commercially manufacturable physical products with deterministic, machine-checked superiority over existing market baselines. Every repository operates under our standing ETHOS.md: inter-agent collaboration with maximal autonomy, self-contained verification (python3 verify.py + results/certificate.json), explicit negative-finding capture (HANDOFF.md), and zero lost compute.
| Repository | Version & Verification | Quantified Physical Advantage vs. Market Baseline | Upstream Foundation-0 Lineage |
Active Agent Queue |
|---|---|---|---|---|
cfrp-truss |
v0.2.0 (verify.py, 8/8 must-fail controls) |
+77.34% ULS flexural gain (433.45 vs. 277.08 kN·m) at equal fiber area; beats 240 mm² flat EBR at 50% less CFRP mass (120 mm² -> 375.51 kN·m); 3,200 µε truss-anchored pre-strain clears heavy-overload 0.60 fc' service concrete stress (18.77 <= 21.0 MPa) and 0.55 ffu creep rupture; 4-wire Cole EIS bondline QA |
cfrp-strengthening, fibral-rigidity, nhanes-bioimpedance |
aska-physical/cfrp-truss#2 (#1 closed in v0.2.0) |
cfrp-masts |
v0.1.0 (verify.py, 5/5 must-fail controls) |
14.02x specific bending stiffness EI/kg vs. Ti-6Al-4V octet (5.0 m K13D2U boom at 14.06 kg, EI = 586.1 kN·m²); 38.5x lower 100 K thermal tip drift (0.30 mm vs. 11.55 mm Al 6061); 3.32x axial compaction (15 m T1100G mast -> 4.52 m stowed, 88.99 kN Haringx buckling) |
incentre-lattices, fibral-rigidity, rigid-realizations |
aska-physical/cfrp-masts#1, aska-physical/cfrp-masts#2 |
venturi-collars |
v0.1.0 (verify.py, 5/5 must-fail controls) |
Battery-free VAV HVAC sensing (1.8–4.0 m/s): M55J carbon reed + 4-layer PCB stator delivers 0.104 mW at 1.8 m/s and 0.924 mW (11.55x margin over 80 µW BLE node) at 4.0 m/s with only 1.62 Pa static pressure loss (beta = 0.64, 7 deg diffuser; documents pure-PVDF negative finding 0.048 mW) |
ductricity, thermal-capture |
aska-physical/venturi-collars#1, aska-physical/venturi-collars#2 |
impedence-analyzers |
v0.1.0 (verify.py, 5/5 must-fail controls) |
7.14x faster Cole EIS sweep (7 log-spaced frequencies 5–600 kHz matching 50-point conditioning 13.85 vs. 14.34 = 0.966); 0.0% parameter bias on clinical BIA & concrete NDT benchmarks; auto-flags Hook/stray-capacitance Td phase artifacts; exact square Kelvin patch constant K = 0.2682 m |
nhanes-bioimpedance, point-charges |
aska-physical/impedence-analyzers#1, aska-physical/impedence-analyzers#2 |
fibral-rigidity |
PR aska-physical/fibral-rigidity#1 (verify.py, 6/6 must-fail controls) |
Continuum CFRP truss foundation: proves 22.29% equal-area bulk-modulus deficit (K/K_max = 2(3+2*sqrt(2))/15), universal 3D bulk saturation alpha_K* = 2*sqrt(2), [100] axial optimum alpha_E* = 2*sqrt(6)/3 (+46.95% over octet 1/9), and 45 deg octagonal-pore tension bracing (beta_iso = 0.3623) |
incentre-lattices |
aska-physical/fibral-rigidity#1 (awaiting human sign-off) |
cfrp-strengthening |
v1.0.0 (69 commits, re-runnable suite) |
Auditable ACI 440.2R beam strengthening baseline: reproduces Simpson Strong-Tie worked example (481.7 kip-ft capacity vs. 457.8 kip-ft demand) and isolates the cracked-section service-stress bottleneck resolved in cfrp-truss v0.2.0 |
Foundation-0/cfrp-strengthening |
Upstream reference baseline |
Per ETHOS.md, every agent working in aska-physical follows four non-negotiable capture rules:
- Deterministic Checker First: Every claim, equation, and trade study lives in
python3 verify.pyand writes a canonicalresults/certificate.jsonguarded by explicit must-fail controls. - Negative Findings Are First-Class Artifacts: Failed configurations, code caps (
eps_fv <= 0.004,0.55 ffucreep rupture,eps_bi != 0rebar-stress non-conservatism), and unviable transducers (pure PVDF at low duct speed) are documented inHANDOFF.mdso no downstream seat spends tokens re-deriving them. - Self-Contained Issue Queues: Open GitHub Issues in each product repository specify exact governing equations, target metrics, and acceptance gates ready to claim autonomously.
- Clear Attribution: Architect & human sign-off: Shahid Arifuddin (
@abu-aska) · FoundationalFoundation-0mathematics &cfrp-strengtheningcorpus: Ahraz Arifuddin (@ahrazzle) · Autonomous engineering & verification capture: Google Gemini.
