L1 ⚛ L1-268 ⊙ Testnet

Vibroacoustics — structure-acoustic coupling

Acoustics · FEM-BEM coupled vibro-acoustic

⬇ Download bundle 🚀 Submit to mainnet — earn 100 PWM + 5% royalty

Markdown — human-readable source of truth

⚙ auto-generated

⬇ L1-268.md

# ⚛ L1 Principle — Vibroacoustics — structure-acoustic coupling **ID:** `L1-268` · **Status:** ⊙ Testnet (genesis catalog) > **🌐 Domain:** Acoustics — *FEM-BEM coupled vibro-acoustic* > **🎯 Problem class:** linear inverse · **🧮 Solution space:** pressure displacement coupled 2D > **📡 Carrier:** acoustic · **🌫 Noise:** gaussian > **⚖ Difficulty (δ):** 5 · **⛓ Block:** 41554050 --- ## 🧠 1. Introduction **Vibroacoustics — structure-acoustic coupling** is a **linear inverse problem** whose unknown lives in **pressure displacement coupled 2D** space, within the **FEM-BEM coupled vibro-acoustic** sub-domain of **Acoustics**. Measurements consist of acoustic pressure waves recorded by transducers via a **pressure accel hybrid** sensing mechanism. The forward operator applies, in order: L · fem structure operator; L · bem acoustic operator; L · coupling operator; integration over a band of frequencies. Observations are corrupted by additive Gaussian noise. Conditional stability; mismatch parameters dominate at Omega bounds. ## ⚙ 2. Forward Model Physical chain: **x** → L · fem structure → L · bem acoustic → L · coupling → Frequency integration → **y** (detector). ``` y = ∫dω `L.coupling` `L.bem_acoustic` `L.fem_structure` x + n, n ~ 𝒩(0, σ²) ``` **Measurement DAG:** | Primitive | What it does | |---|---| | `L.fem_structure` | L · fem structure operator | | `L.bem_acoustic` | L · bem acoustic operator | | `L.coupling` | L · coupling operator | | `int.frequency` | Integration over a band of frequencies | ## 🔬 3. Physics Fingerprint | Property | Value | |---|---| | Domain | Acoustics | | Sub domain | FEM-BEM coupled vibro-acoustic | | Carrier | acoustic | | Problem class | linear_inverse | | Solution space | pressure_displacement_coupled_2D | | Noise model | gaussian | | Integration axis | frequency | | Difficulty delta | 5 | | L dag | 3.5 | ## 📡 4. Measurement Model Conditional stability; mismatch parameters dominate at Omega bounds. | Metric | Value | |---|---| | Metric | PSNR_dB | | Secondary | SSIM | ## 📏 5. Operating Range (Ω) **Center problem class:** `vibroacoustic_coupled` · **Forward operator:** `vibroacoustic_coupled_forward` **Center point:** | Parameter | Unit | Value | |---|---|---| | Snr db | dB | 30 | | N fluid | — | 10000 | | N freqs | — | 64 | | N struct | — | 10000 | | Mesh error | — | 0 | | Coupling error | — | 0 | | Fluid impedance error | — | 0 | | Structural damping error | — | 0 | **Allowed bounds:** | Parameter | Unit | Range | |---|---|---| | Snr db | dB | 0 – 40 | | N fluid | — | 500 – 500000 | | N freqs | — | 4 – 512 | | N struct | — | 500 – 500000 | | Mesh error | — | 0.0 – 0.1 | | Coupling error | — | 0.0 – 0.2 | | Fluid impedance error | — | 0.0 – 0.3 | | Structural damping error | — | 0.0 – 0.5 | ## 🎯 6. Tolerance (ε) **Center tolerance:** 22.0 | Metric | Range | |---|---| | Psnr db | 10.0 – 45.0 | ## ⚖ 7. Hardness Function Hardness scales as **`epsilon_fn`** on **PSNR_dB**, with κ = `600` and δ = `5`. ## 💾 8. Reference Dataset - **primary** · weight 1.0 · IPFS _(not pinned yet)_ ## 9. On-chain Registration - **Chain hash:** `0x1e015b4aa9470db822fc4e050fbc4b871b6b6e9ce7de33f1ad38584c49a5365c` - **Chain tx hash:** `0x83ccad2be178f0e9e969b83e4c2e76be2ddc7ba3800f1653804e0d67bcd76d49` - **Chain block:** `41554050` --- ## File Mapping This bundle consists of: `L1-268.md`, `L1-268.json`. | File | Role | How to regenerate | |------|------|-------------------| | `L1-268.md` | Source of truth — edit this | Human or LLM | | `L1-268.json` | Structured metadata for the registry | LLM regenerates from the sections above | **Prompt for your LLM after editing this Markdown:** > Read the attached Markdown. Regenerate the sibling `.json` so every field matches. > Preserve the schema documented in the rows above. > Output each file in its own fenced code block tagged with the filename. > Output only the JSON object. _This Markdown was auto-synthesized from the catalog row for `L1-268`._ _Edit it, regenerate the JSON, and submit at [/submit](/submit) to claim the artifact._

📝 Polish this artifact in your LLM

Download the files on the right.
Paste the Markdown into ChatGPT / Claude / Gemini and edit freely.
Send your edited Markdown back with the prompt below.
Save the regenerated JSON, then submit via /submit.

Prompt to give your LLM

Read the attached Markdown (L1-268.md).
Regenerate L1-268.json so every field matches the Markdown.
Preserve the schema documented in the File Mapping footer at the bottom of the MD.
Output each file in its own fenced code block tagged with the filename.

⌥ Hierarchy

Upstream lineage and downstream children

↓ L2 Spec 1 child ▾

L2-268-001 Vibroacoustics — structure-acoustic coupling Mismatch-Only Spec

⬇ Download bundle

2 files · click to download

📋 JSON metadata

{
  "artifact_id": "L1-268",
  "chain_block": 41554050,
  "chain_hash": "0x1e015b4aa9470db822fc4e050fbc4b871b6b6e9ce7de33f1ad38584c49a5365c",
  "chain_tx_hash": "0x83ccad2be178f0e9e969b83e4c2e76be2ddc7ba3800f1653804e0d67bcd76d49",
  "domain": "Acoustics",
  "hardness_fn": {
    "delta": 5,
    "kappa": 600,
    "metric": "PSNR_dB",
    "type": "epsilon_fn"
  },
  "initiator_dataset": [
    {
      "ipfs_cid": null,
      "license_hash": null,
      "name": "primary",
      "weight": 1.0
    }
  ],
  "layer": "L1",
  "observable_profile": {
    "metric": "PSNR_dB",
    "regime": "Conditional stability; mismatch parameters dominate at Omega bounds.",
    "secondary": "SSIM"
  },
  "physics_fingerprint": {
    "L_DAG": 3.5,
    "carrier": "acoustic",
    "difficulty_delta": 5,
    "domain": "Acoustics",
    "integration_axis": "frequency",
    "noise_model": "gaussian",
    "primitives": [
      "L.fem_structure",
      "L.bem_acoustic",
      "L.coupling",
      "int.frequency"
    ],
    "problem_class": "linear_inverse",
    "sensing_mechanism": "pressure_accel_hybrid",
    "solution_space": "pressure_displacement_coupled_2D",
    "sub_domain": "FEM-BEM coupled vibro-acoustic",
    "title": "Vibroacoustics \u2014 structure-acoustic coupling"
  },
  "size_tiers": {
    "allowed_forward_operators": [
      "vibroacoustic_coupled_forward"
    ],
    "allowed_omega_dimensions": [
      "N_struct",
      "N_fluid",
      "N_freqs",
      "SNR_dB",
      "coupling_error",
      "structural_damping_error",
      "fluid_impedance_error",
      "mesh_error",
      "coupling_error",
      "structural_damping_error",
      "fluid_impedance_error",
      "mesh_error"
    ],
    "allowed_problem_classes": [
      "vibroacoustic_coupled"
    ],
    "center_spec": {
      "epsilon_fn_center": "22.0",
      "forward_operator": "vibroacoustic_coupled_forward",
      "input_format": "measurement_only",
      "omega": {
        "N_fluid": 10000,
        "N_freqs": 64,
        "N_struct": 10000,
        "SNR_dB": 30,
        "coupling_error": 0.0,
        "fluid_impedance_error": 0.0,
        "mesh_error": 0.0,
        "structural_damping_error": 0.0
      },
      "problem_class": "vibroacoustic_coupled"
    },
    "epsilon_bounds": {
      "psnr_db": [
        10.0,
        45.0
      ]
    },
    "omega_bounds": {
      "N_fluid": [
        500,
        500000
      ],
      "N_freqs": [
        4,
        512
      ],
      "N_struct": [
        500,
        500000
      ],
      "SNR_dB": [
        0,
        40
      ],
      "coupling_error": [
        0.0,
        0.2
      ],
      "fluid_impedance_error": [
        0.0,
        0.3
      ],
      "mesh_error": [
        0.0,
        0.1
      ],
      "structural_damping_error": [
        0.0,
        0.5
      ]
    }
  },
  "staked_pwm": 0.0,
  "status": "testnet",
  "sub_domain": "FEM-BEM coupled vibro-acoustic",
  "title": "Vibroacoustics \u2014 structure-acoustic coupling"
}

🎁

Earn PWM by promoting this to mainnet

• 100 PWM one-time grant on mainnet promotion
• 5% upstream royalty on every downstream L4 mining event, forever
• Your wallet is enrolled the moment the founder accepts

🚀 Submit to mainnet →

How: Download the bundle above → polish the Markdown in ChatGPT / Claude / Gemini → submit your version → founder reviews → mainnet.