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Three Paths to Rubber Durability

Date: 2026-05-26 (v1)  ·  Amended: 2026-05-28 (v2 — architecture-lock)  ·  2026-05-30 (v3 — post-decompilation, formulas in hand)  ·  Status: v3 · ready for review  ·  Owner: Kishore · Surya AI × DevPilot × Avartan
v2 amendment (2026-05-28) for Kailash · Saurabh · Parth: since the 2026-05-26 call we ingested the full WhatsApp chat + your workflow flowchart and locked the architecture. The full amendment is in §0.5 below — it's what we'd love you to read first. The original v1 sections (§1–§13) follow as the historical record.

(The previous proposal was structurally right but visually unclear — text-heavy with undefined actor labels. This version is diagrams first, prose second. Three paths: Plugin (A), Standalone (B), and where we are TODAY (C) — with explicit actor labels at every step. Companion customer-facing doc: AVARTAN_ELASTOFORGE_KAILASH_CALL_BRIEF_20260526.pdf covers Q1-Q4 + NR-C023A-500 fixture clearance.)

TL;DR — four things in one glance

§0.4 · Milestone 2026-05-30 — .pyc → .py decompilation complete, full formulation recovered

★ The headline

We decompiled all 8 Abaqus fatigue plugins Kailash and Saurabh shared (Python 2.7, via uncompyle6, 0 errors) and recovered the complete durability formulation — every damage parameter and every formula. We no longer wait on the algorithm source: it is now in hand and being ported 1:1 into the Rust engine. The decompile also recovered the original source paths and 2020–2021 authoring dates, giving us a clean provenance / methodology-version trace.

Two generations of the formulation

GenerationWöhler / S-N frameMean-stress + strain-lifeDamage
v02r production Single-slope Wöhler: N = Critb · A  (A = 10Intercept) Thermoplastic polynomial branch Miner accumulation
v02i newer Multi-slope / knee Wöhler Goodman mean-stress Seq = Sa·Rm/(Rm−Sm)  ·  Coffin-Manson-Basquin strain-life NE = NEeq + (σf−Sm)/E · Nb + εf · Nc Miner accumulation

Shared & version-stable across both generations

Fitted Wöhler coefficients already in hand — pilot material NR-C023A-500

Beyond the formulas, we already hold the actual fitted S-N coefficients for the pilot material, extracted from the partner Wöhler curve set (CTRF-003 / DBFEA). "Formulas in hand" is concrete with real numbers — these drop straight into the kernel's Wöhler model:

MaterialWöhler slope bIntercept ATemp rangeAging slope
NR-C023A-500 −3.2668 11.644 23–70 °C −4.7449

The whole C023A compound family shares the slope −3.2668 — only the intercept varies by hardness. Source: extracted from the CTRF-003 / DBFEA Wöhler curve set. These are ready to wire into the kernel's Wöhler model now.

Net effect: the two flowchart rows that were blocked on Saurabh's incoming .pyc (§0.5 mapping rows 2.2 + 2.3) are now unblocked from the source side — we have the formulas. They move to "porting 1:1 into Rust," not "waiting." The one remaining external unblocker is a single ground-truth (condition → life) pair to calibrate against — see §0.6 open questions.

§0.6 · Open questions (refreshed 2026-05-30)

  1. Which model is canonical — v02r or v02i? Both are recovered; we'll port whichever you treat as production (or ship both selectable).
  2. Are the Wöhler (CTRF-003) curves already mean-stress / temperature corrected? Determines whether we apply Goodman + temperature derating on top or treat the curves as pre-corrected.
  3. Is material card NR-C023A-500 OK as a permanent regression fixture? (Currently a private pilot fixture — clearance lets it anchor the golden test.)
  4. Z-strain per-load-step — confirm all 3 steps. We read each load step's last frame; confirm that matches your "teenon steps" intent.
  5. Temperature handling (23–70 °C) — shifted Wöhler curves, temperature-dependent constants, or planned addition?
  6. One ground-truth (condition → life) pair = the #1 unblocker for the ~5% target. One ODB + the Nf your model produces calibrates the whole port.
  7. The S-N / material-fitting calibration routine — not present in the plugin zips. Is there a separate fitting script that turns raw S-N data into the Wöhler coefficients?
  8. 5 GB Ford V801 full ODB + VC plugin walkthrough video — should we download the full ODB and stand up the thick-bridge harness, and is the VC damage-calculation video still on for sharing?

§0.5 · Amendment 2026-05-28 — Architecture lock + what we'd love your review on

Since the 2026-05-26 call three things landed: (a) the full WhatsApp group chat was exported and ingested as our ground-truth corpus, (b) Kailash's two-section workflow flowchart (shared 2026-05-26 21:45) gave us the canonical algorithm spec, and (c) we locked the architecture. This section captures the current state — sections §1–§13 stay as the original v1 record.

★ One-paragraph answer to "what is ElastoForge?"

A Rust-core rubber-durability analyzer. One thin Python script reads .odb files inside abaqus python (the only place that API exists), dumps everything to open formats (HDF5 + SQLite + Parquet, content-hashed and signed). All physics, all UI, all storage live in Rust. The same Rust binary ships in two deployment modes from one artefact: a standalone app, and a plugin installed alongside Abaqus. Damage gets computed two ways side-by-side — Wöhler + Miner (the established industrial frame you and Saurabh already use, matching the flowchart in §13 gallery) and CED (rubber-physics supplement that catches energy-dissipation Wöhler can't model). Customers pick which one to report against, or run both for cross-validation.

The locked architecture, one diagram

flowchart LR classDef done fill:#0d2818,stroke:#22c55e,color:#86efac,stroke-width:2px classDef wip fill:#2a2410,stroke:#facc15,color:#fde68a,stroke-width:2px classDef new fill:#1a1a2a,stroke:#60a5fa,color:#93c5fd,stroke-width:2px classDef ext fill:#1a1a1a,stroke:#888,color:#ccc,stroke-width:1px subgraph ABQ["ABAQUS (customer's)"] ODB[".odb file"]:::ext end subgraph PY["PYTHON (only inside abaqus python)"] BRIDGE["ef-bridge.py
thick generic extractor
(extract EVERYTHING)"]:::wip end subgraph FORMATS["OPEN DATA (content-hashed, signed)"] H5["HDF5
numeric arrays"]:::new SQL["SQLite
catalog + metadata"]:::new PARQ["Parquet
columnar slices"]:::new end subgraph RUST["RUST (everything else)"] CORE["avartan-core
ingest + sig verify"]:::done KERNEL["avartan-elasto-kernel
Yeoh + Mullins + rainflow
CED + Wöhler/Miner port"]:::done DASH["ef_dashboard
egui/wgpu GUI"]:::done end subgraph DEPLOY["TWO DEPLOYMENT MODES — same binary"] M1["Standalone app
(engineer view)"]:::done M2["Plugin alongside Abaqus
(write-back into ODB for CAE contour)"]:::wip end ODB --> BRIDGE BRIDGE --> H5 & SQL & PARQ H5 & SQL & PARQ --> CORE CORE --> KERNEL KERNEL --> DASH DASH --> M1 KERNEL -.Nf contour write-back.-> M2
Locked architecture (2026-05-28). Bridge becomes a thick generic extractor — no physics, no decisions, just open-format I/O. Two deployment modes from one Rust binary.

Your workflow flowchart, mirrored in our pipeline

The flowchart Kailash shared on 2026-05-26 (in §13 gallery — "Strain Extraction from ODB" + "Durability Evaluation by Wöhler Curve") is the canonical algorithm spec. Every step maps onto something already in our stack or in active build:

Flowchart step (Kailash)Where it lives in ElastoForgeStatus
1.1 Input ODB → select step/frame/instanceBridge (input handling)done
1.2 Select region/location (nodes/elements/set, path/surface)Bridge (region subsetting)partial — needs path/surface support
1.3 Select strain component (εxxyyzzxyyzeq) + IP/Element/NodalBridge → Rust ingest (field_contract.rs)done for IP, partial nodal/element averaging
1.4 Extract strain history (vs time/frame, CSV/TXT)Bridge (multi-frame walk) → HDF5 exportin progress — Kishore's 3-step deep-dive
1.5 Post-process strain (filter, detrend, remove mean)avartan-elasto-kernel/cycle.rs (rainflow prep)done
2.1 Prepare strain amplitudes via rainflow → {εa, Ni}cycle.rs ASTM-E1049 rainflowdone
2.2 Define material S-N (Wöhler) curve — Basquin / Coffin-Manson, mean-stress correctionNEW Rust module — formulas recovered via §0.4 decompile (single+multi-slope Wöhler + Goodman + Coffin-Manson-Basquin)unblocked · porting 1:1
2.3 Damage calculation (Di = ni/Nf, D = ΣDi Miner's rule)NEW Rust module (alongside existing CED)unblocked · porting 1:1
2.4 Check durability (D ≤ 1 pass / D > 1 fail)ef_dashboard result panelscaffolded
2.5 Output results (D, safety factor 1/D, life estimation, critical locations, plots)ef_dashboard + PDF reportpartial

The two formerly-blocked rows are now unblocked from the source side (formulas recovered — §0.4) and porting 1:1. Everything else either done or actively built. The "thick generic extractor" upgrade to the bridge is the load-bearing piece for the next two weeks.

What ships TODAY — engine status (40 tests passing)

Done + tested in the all-Rust engine as of 2026-05-30. Full kernel + integration suite: 40 tests passing.

CapabilityWhereState
Yeoh / Neo-Hooke hyperelastic strain energyavartan-elasto-kernel/material.rsdone · tested
Ogden-Roxburgh Mullins softeningavartan-elasto-kernel/mullins.rsdone · tested
Rainflow cycle counting (ASTM E1049-85)avartan-elasto-kernel/cycle.rsdone · tested
Energy-density (CED) damage accumulationavartan-elasto-kernel/cycle.rsdone · tested
Prestrain / preload seedavartan-elasto-kerneldone · tested
Ed25519-signed Python bridge → Rust verifierscripts/elastoforge-odb-bridge.py + avartan-core/src/elasto/bridge_loader.rsdone · tested
Field contract (S / LE / U + topology)avartan-core/src/elasto/field_contract.rsdone · tested
Bridge entry scriptscripts/elastoforge-odb-bridge.pydone · tested
Standalone GUI (egui/wgpu)ef_dashboardscaffolded — 6-pane shell

IN PROGRESS

NEXT — formulas now in hand from the §0.4 decompile, not yet wired

What we're building NEXT (impl plan, 2-3 week horizon)

ItemWhy it mattersOwnerStatus
Thick bridge — extract everything from ODB, not just S/LE/UPer locked architecture; bridge decides nothing, kernel decides everythingKishoredesign done · impl next
3-step strain extraction across load historyKailash's "teenon steps" question — multi-step accumulation needed for real rainflowKishorein progress
Output-ODB roundtrip (also .odb, smaller — strains we called only)Per Kailash 2026-05-26 21:47 — Abaqus durability output is itself an ODBKishorequeued
Strain-life + Wöhler formulas → Rust port (1:1 from §0.4 decompile)Ships alongside CED as a selectable algorithm under the partner's method nameKishore (port)unblocked · porting — formulas recovered 2026-05-30
Wöhler curve → S-N damage lookup wired into kernelPer flowchart step 2.2 + your existing 128-row CSV + recovered single/multi-slope formulaKishorequeued behind the formula port
Two-mode deploy from one binary (standalone + in-CAE plugin)Per locked architecture — single artefact, both UX modesKishorestandalone done · plugin path designed
5 GB FORD V801 mid-truck ODB harnessReal-data smoke test for the thick bridgeKishoreawaiting founder go-ahead on download
Validation harness reporting current ~5% error rateFrom the call — error rate is now a public KPIKishoreharness exists · ~5% number to be published

FUTURE plans (after pilot lands)

Who we compete with (positioning)

CompetitorTypeWhere we win
fe-safe (Dassault Simulia)Direct industry-standard fatigue tool, tightly integrated with AbaqusRust-core perf + safety, open data formats, two-modes-from-one-binary, ships CED and Wöhler+Miner side-by-side, content-hashed reproducibility
Vibracoustic in-house pluginOEM-locked tool for one supplierWe ship to anyone (Kailash Auto Components, other Tier-1s, and beyond); not married to one company's catalog
Bony (in-house)Earlier Kailash effort, single-frame metal-fatigue formulasMulti-frame rainflow, hyperelastic + Mullins physics, calibrated against your Wöhler curves, productised
BanuMusa R&D (Dubai)CAE consultancy (uses fe-safe / Abaqus / Ansys / LS-Dyna)Different layer — they sell engineering time, we ship a Rust binary they could consume

What we'd love your review on (Kailash · Saurabh · Parth)

  1. Does the flowchart mapping above match your day-to-day pipeline? Especially steps 1.2 (region/path selection), 1.3 (component + position), and 2.2 (Wöhler curve definition + mean-stress correction).
  2. Saurabh — are you OK with your strain-life model being ported into the Rust kernel under your method's name? We'd ship it alongside our CED frame, validated against a reference run from you (one ODB + the Nf table your model produces). Your name stays on the algorithm in the dashboard UI.
  3. Saurabh — for the open .pyc thread: either .py source or the .pyc is fine. We can port to Rust from either. The PYC + logs reproducibility pattern you raised in the call applies cleanly here — once we have the algorithm and one reference output, our Rust port validates against it.
  4. 5 GB FORD V801 mid-truck full ODB on Google Drive — should we download and stand up the thick-bridge real-data harness against it? Founder go-ahead pending given storage commitment.
  5. VC plugin damage-calculation video — Kailash, this was promised for 2026-05-27 afternoon. Still on for sharing? It would settle a couple of input-schema questions for our bridge.
  6. Temperature handling — Saurabh, how does your model account for it? Shifted Wöhler curves? Temperature-dependent constants? Or is it a planned addition? Determines whether we wire it as a kernel input now or queue for phase 2.
  7. The two-mode deployment — standalone app for analysts / managers, in-CAE plugin (writes Nf back to ODB for contour) for engineers who live in Abaqus. Both from one Rust binary. Does this match how your engineers want to see results today?

The bottom line — what changed since the call

The original v1 proposal sections (§1–§13) below stay intact as the historical record. Everything in this §0.5 amendment supersedes any conflicting framing in the older sections.

§1 · Where we are TODAY (Path C — honest snapshot)

Working end-to-end
Wired but stubbed / unvalidated
Not started
flowchart LR classDef done fill:#0d2818,stroke:#22c55e,color:#86efac,stroke-width:2px classDef partial fill:#2a2410,stroke:#facc15,color:#fde68a,stroke-width:2px classDef todo fill:#2a1010,stroke:#ef4444,color:#fca5a5,stroke-width:2px A["Engineer
(FEA analyst)"]:::done B[".odb file
on disk"]:::done C["Python bridge
elastoforge-odb-bridge.py"]:::partial D["Field export
HDF5 / JSON"]:::partial E["Rust kernel
avartan-elasto-kernel"]:::done F["Damage matrix
3 × 4 (placeholder semantics)"]:::done G["Dashboard
ef_dashboard (egui)"]:::done H["PDF report"]:::done I["In-CAE contour
(write Nf back to ODB)"]:::todo J["Real NR-C023A-500
material card"]:::partial K["Wöhler / SN
fatigue lookup"]:::todo L["Temperature
field"]:::todo A --> B --> C --> D --> E --> F --> G --> H J -.feeds.-> E F -.feeds.-> K G -.writes back.-> I L -.feeds.-> E
Current state — kernel + dashboard are the strongest pieces; bridge wiring + material card + thermal / fatigue lookup are the load-bearing gaps.

§2 · The word "plugin" is overloaded — here's what we actually mean

✗ NOT a monolithic Abaqus plugin

Like Bony / Vibracoustic internal: 100% lives inside Abaqus Python. Ties physics + UI + IO into one .py blob. Locked to Abaqus version. Hard to test. Not portable. Not separately sellable.

✓ Thin signed bridge + Rust kernel

Bridge = ~100 LOC Python that only reads .odb → signs → writes HDF5. All physics, math, validation, rendering lives in Rust crates — testable, fast, portable, Abaqus-version-independent. Sellable as plugin AND standalone.

§3 · Path A — Plugin (in-CAE workflow)

The engineer never leaves Abaqus. Our plugin adds a single menu button → form dialog → runs computation → injects Nf back into the ODB → engineer contours inside CAE. This matches the Bony UX pattern Kailash already knows.

sequenceDiagram autonumber participant E as Engineer participant CAE as Abaqus CAE participant Br as Bridge
(Python plugin, signed) participant K as Rust kernel
(avartan-elasto-kernel) participant D as ElastoForge
Dashboard (egui) E->>CAE: Open .cae model, run FEA CAE-->>E: .odb file written E->>CAE: Click "ElastoForge → Run durability" CAE->>Br: Invoke plugin (in-CAE Python) Br->>CAE: openOdb() + extract S, LE, U, topology Note over Br,K: Z-projection on extraction
+ Ed25519 signature Br->>K: HDF5 export (signed) via stdin/disk K->>K: Yeoh hyperelastic stress
+ Ogden-Roxburgh softening
+ rainflow cycle count
+ CED damage accumulation K-->>Br: Damage matrix + Nf scalar field Br->>CAE: addData(Nf) → ODB write-back CAE-->>E: Contour "Nf" inside Abaqus viewer Br-)D: Side-car launch (optional) D-->>E: PDF report + 3D viewer
Path A — minimum disruption to engineer's existing workflow. Same UX shape as Bony, with our kernel doing real elastomer physics.

§4 · Path B — Standalone app (manager / supplier view)

Engineer or manager opens our app, points at a folder of .odb files, gets results. Bridge runs as a transparent subprocess. Sells as a separate SKU: review tool, supplier portal, manager dashboard.

sequenceDiagram autonumber participant E as Engineer /
Manager / Supplier participant App as ElastoForge App
(ef_dashboard) participant Br as Bridge subprocess
(Python, signed) participant K as Rust kernel participant V as 3D viewer +
PDF generator E->>App: Launch ElastoForge (.app / .exe / Linux) E->>App: Click "Load ODB" → file picker App->>App: Auto-detect Abaqus Python install App->>Br: Spawn bridge subprocess(odb_path) Br->>Br: openOdb() + extract fields (same as Path A) Br-->>App: HDF5 export (signed) via stdout / cache App->>K: Load HDF5 → kernel K->>K: Same physics as Path A K-->>App: Damage matrix + Nf field App->>V: Render mesh + contours + matrix V-->>E: 3D view + downloadable PDF Note over E,V: No CAE write-back needed.
Engineer / manager reviews in our app.
Path B — same kernel, same bridge, different host. Opens a second revenue channel without doubling engineering effort.

§5 · Path A vs Path B — side-by-side

Path A · PluginPath B · Standalone
Entry pointMenu button inside Abaqus CAENative macOS / Win / Linux app icon
Engineer locationStays in CAE the whole timeSwitches to our app
Output surfaceODB contour in CAE viewer + side-car PDFOur 3D viewer + PDF
Abaqus requiredYes (engineer is already running it)Yes (installed, for subprocess) — but engineer doesn't open CAE
Primary audienceFEA analyst (Kailash, Saurabh)Manager / VP-Eng / supplier reviewer
Sales motionBundled with Abaqus workflow — supplements / replaces existing pluginsSeparate SKU — review tool / portal
Shared code~95% — kernel + bridge identical, only UX wrapper differs

§6 · What we read from .odb files today

Currently extracted

FieldTypePer-framePer-T°Status
S · stressSymmetric tensor (6 comp 3D)YESNOextracted
LE · log strainSymmetric tensor (6 comp 3D)YESNOextracted
U · displacementVector (3 comp 3D)YESNOextracted
Node coords + element connectivityTopology maponceNOextracted
Instance / part assemblyMetadataonceNOextracted
Principal strains (λ₁, λ₂, λ₃)Vector (derived from LE)YESNOin-kernel
Strain-energy density WScalar (computed)YESNOin-kernel
Mullins softening factor ηScalar (computed)YESNOin-kernel

In the ODB but we don't parse yet

FieldWhy it mattersEffort
Temperature fieldNeoHook card carries CONDUCTIVITY=0.19, CP=1.5e9. Real fatigue is T-dependent. Wöhler curves indexed by T.M
Multiple instancesMulti-part mounts need per-instance extraction (Abaqus supports via field.getSubset(region=instance)) — not wired.S
History outputsReaction forces, energy at integration points — needed to validate against Vibracoustic reference plugin output.S
Z-strain projectionKailash explicit: "extract strain in Z direction only". We have full 6-comp; 1-line scalar projection step missing.S
Real NeoHook constantsC10=0.313 MPa, D1=0.000732611 1/MPa (50 Shore A, cured 175 °C) not yet in kernel test fixtures (placeholder Yeoh 0.298, -0.014, 0.000235 today). Derived/sanity-checked moduli from this card: G ≈ 0.626 MPa, K ≈ 2730 MPa, E ≈ 1.88 MPa, ν ≈ 0.49995 — all four 50-Shore-A sanity checks pass.S

Output ODB — Kailash update 2026-05-26

"The fun fact is output results is also will be .odb. But less size. It consist only those strains which we called."
— Kailash, WhatsApp 2026-05-26 21:45 IST

Two load-bearing implications for the pipeline:

Net effect on §8 roadmap: P2b "ODB write-back (Nf)" spec gains a concrete file-size budget (~50-200 MB output ODB) + field-list contract derived from the input --called list. No new task required — narrows scope of an already-planned task.

Source: scripts/elastoforge-odb-bridge.py · docs/specs/elastoforge-bridge-field-contract-20260525.md · Kailash WhatsApp source MD 2026-05-26 (NeoHook material card + output-ODB clarification).

§7 · What to port from Kailash's Python codes

Audited all 5 Python files in kailash-bony-plugin-20260525/source/ (~280 LOC total) + recorded Abaqus session showing the user flow. The final_plugin.py (202 LOC) is the meaty one.

Top 5 ports ranked by ROI

#PortWhy it's worth takingEffort
1Von Mises invariant (2D + 3D branches)Reusable math, clean plane-stress / 3D split. final_plugin.py:81-107.S
2ODB-to-HDF5 region-isolated extractionBony reads by instance — formalize this so customers can filter to a single mount before extraction (huge for the 5 GB mid-truck ODB).M
3Result write-back to ODB (Nf injection)Bony injects scalar field back into ODB so engineers contour inside CAE. This is the Path A killer-UX feature.M-L
4Basquin HCF power law (metal-fallback validator)Sanity-check rubber CED damage against simple metal Basquin — does our output bracket reasonable values?S
5Material constant UI schema (9 fields)Generalize the form metadata into a reusable ef_dashboard widget. Already in scope for AVTN-ELASTO-T2.S

What we should NOT port

The Abaqus plugin UX pattern (from recorded-session.abaqus.rpy)

  1. Engineer opens .cae in Abaqus → sets viewport to assembly
  2. Plugin auto-bootstraps via sys.path.insert
  3. Single menu button → form dialog (9 fields) → "Run"
  4. Plugin computes Nf field, writes back into ODB
  5. Engineer re-opens ODB in viewer → switches primary variable to Nf → contours show worst-case zones

The single menu button + form dialog is the lowest-friction insertion point. This is what we must match in Path A.

§8 · Three-phase roadmap (refreshed 2026-05-30, post-decompilation)

Refreshed after the decompile: with the formulas in hand, Phase 1 is now about wiring them against your data, not waiting on a source.

Phase 1 · Kernel + your data now → mid-Jun

Load the NeoHooke material card (NR-C023A-500, C10=0.313 MPa) → Wöhler CSV parser + Basquin fit → port the v02r / v02i formulas (§0.4) to Rust → golden test vs the partner reference Nf.

Phase 2 · Plugin path end-to-end mid → late-Jun

Full ODB export (all frames / steps) → write Nf back into the ODB → CAE menu + form dialog → PDF report.

Phase 3 · Standalone + depth early-Jul

Temperature + Wöhler lookup → multi-ODB file picker → installer + training.

ElastoForge roadmap — 12 tasks across 3 phases on a date axis from May 27 to Jul 4, 2026
§8 RoadmapPhase 1 unblocks the kernel with real material data. Phase 2 ships the plugin path end-to-end. Phase 3 forks into standalone + thermal/fatigue depth.

§10 · What we can dispatch RIGHT NOW (no waiting on Kailash)

Every open question has a parametric answer-space, not a binary block. We scaffold against best-guess defaults + leave load-bearing decisions as named parameters. Pipeline reaches "produces numbers" today; Kailash's answers determine "are the numbers right."

★ Parametric Q-resolution (per checkpoint CP395) — post-call status 2026-05-26

Net change to the 7-item roadmap: item 2 (Z-strain extraction harness) now scopes per-load-step output instead of last-frame-only.

Seven items ready to dispatch (sprint umbrella: AVTN-ELASTO-001 / T7)

#WorkWhy unblockedQ-dep
1Wire NR-C023A-500 as private pilot fixture in avartan-elasto-kernelT2 Neo-Hookean kernel done 2026-05-25; private ≠ public corpus, swap when Q2 clearsQ2-independent
2Z-strain extraction harness (Abaqus odbAccess API, Python)Both ODBs in hand; scaffold scalar εzz (most likely Q1 answer), swap to 3-vector triviallyQ1-parametric
3Wöhler CSV parser + S-N curve fixtureCSV in hand; parser is Q4-independent, interpretation is the swap pointQ4-parametric
4Rainflow counter wired to extracted Z-strainRainflowCounter trait + amplitude-mean impl already exists per technical summarynone
5Damage accumulation (Miner's rule) → DamageMatrixExisting kernel format; composes (3) + (4)none
6End-to-end pipeline on 79 MB Z-sliceSmaller file = faster iteration; produces numbers (validation waits on Q3)none for impl
7Audit harness on 4.8 GB FULL ODBIndependent Z-extraction, compare to 79 MB for paritynone

This is rolling-wave / lazy-elaboration in action — continuing AVTN-ELASTO-001/T7 under intent (not new sprint filing), aligned with portfolio freeze + DP-RESTRUCTURE-001.

§11 · Constraints flagged at checkpoint (CP395)

Portfolio freeze active Work as intent under AVTN-ELASTO-T7. Do NOT file new sprints/tasks until founder lifts.
NR-C023A-500 = PRIVATE fixture Stays out of public test corpus until Q2 IP clearance from Kailash. Private pilot fixture only.
Disk 91% used Large extraction outputs → data/extracts/ (gitignore). Do not write into shared cargo target dir.
PDF render via Chrome headless Any new customer-facing PDF: Chrome headless per GOLDEN-072. dp content render is markdown-only — emits raw HTML as plaintext.

§9 · Open questions for today's call — post-call status

  1. Z-strain shape (Q1) · PARTIALLY ANSWERED: Scalar εzz holds. New constraint surfaced: per-load-step extraction across the three load steps (Kailash's "teenon steps") wired into rainflow accumulation.
  2. NR-C023A-500 IP clearance (Q2) · NOT ADDRESSED: Private pilot fixture today. Re-raise next call.
  3. Vibracoustic reference output (Q3) · NOT ADDRESSED: Kailash committed to send necessary ODB files / additional data — that channel covers this when it arrives.
  4. Wöhler interpretation (Q4) · NOT ADDRESSED: Re-raise next call.
  5. In-CAE write-back (Nf injection): Not explicitly answered, but Saurabh's final_plugin.py already does this (writes Nf scalar to a new ODB step) — so Path A pattern is proven; v1 can ship plugin-shape if priority demands.
  6. Plugin distribution: Not addressed; standalone-app architecture explicitly confirmed by the team (see §12).

§12 · Post-call inputs (Kailash + Saurabh, 2026-05-26)

Captured from the "ODB se Durability Integration" call (Kishore + Kailash + Saurabh + Parth). Five threads land; this section is the v1 (2026-05-26 same-day) capture. Two of the v1 claims below were corrected on 2026-05-28 after the WhatsApp chat was ingested in full — see the amendment callout immediately below before reading the rest of §12.

⚠ Amendment 2026-05-28 — corrections to v1 §12 claims (from WhatsApp chat ingest)

  1. The Bony zip is NOT Saurabh's strain-based failure model. Author field in final_plugin.py reads "divya", and Kailash framed Bony as "a code for bony polymer customers earlier" — separate prior-assignment artefact. Saurabh's own strain-based failure model lived in a separate .pyc. Update 2026-05-30: that formulation has since been recovered by decompiling the shared .pyc (uncompyle6, 0 errors — see §0.4), so F1 below is now RESOLVED from the source side, not pending.
  2. F2 (PYC → .py) — RESOLVED 2026-05-30. Saurabh's .pyc was decompiled to readable .py in-house (§0.4); we no longer need a hand-delivered .py.
  3. §12.2 "standalone app (not plugin-only)" is too narrow. Kailash's instinct on 2026-05-25 11:42 AM was plugin: "abaqus and ansys file are difficult to access directly however both software the features to install plug-in." The actual resolution after the call is both modes from one Rust binary — see §0.5 amendment above.
  4. Output ODB roundtrip flagged by Kailash 2026-05-26 21:47 ("output results is also will be odb. but less size") — added to bridge scope.
  5. Workflow flowchart (2026-05-26 21:45) is the canonical algorithm spec — it's a rainflow-counted Wöhler + Miner pipeline, the same frame fe-safe ships. With your team's measured rubber Wöhler curves (128 rows × 31 compounds), it's the established industrial method — not "wrong physics" as the v1 §7 framing implied. CED is the rubber-physics supplement, not a replacement. Ship both, side-by-side.

★ v1 headline (2026-05-26, preserved as audit trail): "Saurabh's plugin algorithm is already imported"

v1 framing — see amendment above for the correction. The 5 Python files Saurabh referenced (final_plugin.py + bonyDB.py + fatigueDB.py + bony_plugin.py + fatigue_plugin.py, ~280 LOC) are imported under docs/research/sources/kailash-bony-plugin-20260525/source/. Correction (2026-05-28): these are the Bony plugin files (author "divya"), not Saurabh's strain-life model. Update (2026-05-30): Saurabh's strain-life formulation has since been recovered by decompiling the shared .pyc (§0.4) — no longer incoming.

1 · Roster + code-ownership confirmed

2 · Architecture confirmed: standalone app (not plugin-only)

Team agreed the final shape is a standalone application that ingests ODB + other artifacts and performs generalized durability analysis — not a plugin. Plugin-shape stays as a complementary in-CAE workflow (Path A); standalone is Path B. Our §1 honest snapshot of being on Path C heading to A+B is exactly the direction validated.

3 · Three-step strain extraction (the real Q1 answer)

Kailash specifically asked: "Kya aap teenon steps se strain nikal pa rahe ho?" — can you extract strain from all three steps. This maps to three load-history steps for fatigue/damage accumulation, NOT three components of εzz. Kishore committed to a deep-dive on step-wise extraction. This is the structural change to roadmap item 2.

4 · Direction validated, ~5% error rate is now a public KPI

5 · Action items from the call (mapped to follow-ups)

#ItemOwnerStatus
F1Ingest Saurabh's strain-life failure model (algorithm + ODB read/parse logic)Saurabh → KishoreRESOLVED — recovered via .pyc decompile 2026-05-30. Saurabh's strain-life / durability formulation was recovered directly by decompiling the shared .pyc (uncompyle6, 0 errors) — see §0.4. No longer blocking; porting 1:1 into Rust.
F2PYC → .py for Saurabh's strain-life modelSaurabhRESOLVED — recovered via .pyc decompile 2026-05-30. The .pyc was decompiled to readable .py in-house (uncompyle6, 0 errors) — see §0.4. No longer waiting on a hand-delivered .py.
F3Ingest hand-made simple workflow (clarifies ODB I/O mapping)Meeting participant → KishoreAwaiting delivery
F4WhatsApp group: post reference link + additional documentationKishorePending — async
F5Define exact Python module interfaces + integration requirements docKishoreF1 done, can start now
F6Prepare ODB-extracted data summary → share with KailashKishoreNear-term commit; scaffold as separate docs/research/ artifact
F7Validation harness reports error rate (current ~5%, target lower)KishoreFolds into roadmap item 7
F8Temperature factor in damage modelOpenDeferred phase (post-M5)

F1+F2 are now RESOLVED — the formulation was recovered by decompiling Saurabh's .pyc on 2026-05-30 (§0.4), so they no longer block on a hand-delivered algorithm. F5 is unblocked, F3+F4+F6 are async awaits, F7 folds into existing item 7, F8 parks. The one genuinely-open external ask is a single ground-truth (condition → life) pair to calibrate the port against (see §0.6).

§13 · Image gallery — plugin-related artifacts

All visual artifacts touching the plugin work: customer inputs (Kailash) + our prior proposal diagrams + architecture detail diagrams. Click any thumbnail to enlarge. Arrow keys navigate, Esc closes.

Inputs from Kailash (customer-side references)

Architecture diagrams (May 16 — deeper design pass)

Earlier ElastoForge proposal diagrams (May 12 — v1 pitch deck)

Earlier rubber-durability proposal diagrams (May 12 — companion deck)