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SKILL verified Apache-2.0 Self-run

Neqsim Acoustic Induced Vibration Screening

skill-equinor-neqsim-community-skills-acoustic-induced-vibration-screening · by equinor

Educational acoustic-induced-vibration (AIV) screening using the public Energy Institute likelihood-of-failure form for gas pressure-reducing devices. USE WHEN: a task needs a public, screening-level estimate of sound power level, pipe diameter-to-thickness ratio, allowable sound power level, and an AIV likelihood-of-failure index for a control valve, relief valve, or restriction orifice before d…

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$ agentstack add skill-equinor-neqsim-community-skills-acoustic-induced-vibration-screening

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About

Acoustic-Induced Vibration Screening

Use this skill for public, educational acoustic-induced-vibration (AIV) screening of gas pressure-reducing devices. It estimates the generated sound power level, the pipe diameter-to-thickness ratio, an allowable sound power level, and a likelihood-of-failure (LOF) index so an agent can scope an AIV study before a detailed piping-vibration assessment. It complements the flow-induced-vibration-screening skill, which covers gas flow-induced vibration through a kinetic-energy index.

When to Use

  • When a user asks whether a control valve, relief valve, or restriction orifice creates an AIV risk.
  • When an agent needs a quick sound-power-level and LOF estimate downstream of a high pressure drop.
  • When examples must run without confidential valve data, vendor noise curves, or company specs.

Inputs

  • mass_flow_kg_s: gas mass flow through the device in kg/s.
  • upstream_pressure_bar: upstream pressure P1 in bar absolute.
  • downstream_pressure_bar: downstream pressure P2 in bar absolute.
  • pipe_outside_diameter_mm: downstream pipe outside diameter in mm.
  • wall_thickness_mm: downstream pipe wall thickness in mm.
  • molecular_weight: gas molecular weight, default 19.
  • temperature_k: gas temperature in kelvin, default 313.15.
  • downstream_pipe_length_m: downstream pipe length in m, default 10.
  • sound_power_level_db: optional measured/known sound power level; if omitted it is computed.

Outputs

  • pressure_drop_ratio: (P1 - P2) / P1.
  • sound_power_level_db: supplied or computed sound power level in dB.
  • diameter_thickness_ratio: pipe D / t.
  • allowable_sound_power_level_db: allowable sound power level from the D / t correlation.
  • likelihood_of_failure: dimensionless AIV LOF index.
  • downstream_pipe_length_m: echoed downstream pipe length.
  • risk_warning: low-risk, medium-risk, or high-risk.
  • assumptions: public assumptions used by the placeholder model.

Engineering Method

The Python class AcousticInducedVibrationModel uses the open Energy Institute / Carucci-Mueller AIV screening form only:

  • sound power level uses PWL = 10 log10[(dP/P1)^3.6 * mdot^2 * (T/MW)^1.2] + constant.
  • diameter-to-thickness ratio uses D / t.
  • allowable sound power level uses PWL_allow = reference - slope * (D / t), so higher D / t lowers the limit.
  • likelihood of failure uses LOF = 1 + (PWL - PWL_allow) / spread, clamped at zero, so higher PWL and higher D / t both raise the LOF.

This is educational and screening-only logic. The correlation constants are documented screening approximations, not certified AIV limits. It assumes a single gas pressure-reducing device, ignores branch-connection geometry, weld type, and downstream fitting layout, and is not a replacement for a validated AIV assessment or qualified piping-vibration review.

Python Usage Pattern

from acoustic_induced_vibration_screening import AcousticInducedVibrationModel

model = AcousticInducedVibrationModel()
result = model.evaluate(
    mass_flow_kg_s=12.0,
    upstream_pressure_bar=90.0,
    downstream_pressure_bar=20.0,
    pipe_outside_diameter_mm=323.9,
    wall_thickness_mm=9.5,
)

print(result.sound_power_level_db)
print(result.likelihood_of_failure)
print(result.risk_warning)

Related NeqSim Functionality

For validated vibration screening, redirect to NeqSim classes:

  • neqsim.process.safety.vibration.AcousticInducedVibrationLOF — proposed AIV likelihood-of-failure model (PWL, D/t, allowable-PWL correlation); candidate NeqSim gap.
  • neqsim.process.safety.vibration.FlowInducedVibrationLOF — proposed flow-induced-vibration model; candidate NeqSim gap.
  • The flow-induced-vibration-screening community skill — gas flow-induced vibration through a kinetic-energy index.

This skill is a public triage layer that decides when to invoke a validated AIV assessment.

Validation Checklist

  • [ ] Upstream and downstream pressures are positive and P1 > P2.
  • [ ] Pipe outside diameter exceeds twice the wall thickness.
  • [ ] Tests cover sound-power-level computation, a supplied sound-power-level path, a high-risk case, and invalid input.
  • [ ] Results are described as educational screening indicators.
  • [ ] Real assessment is redirected to validated NeqSim vibration classes and qualified review.

Common Mistakes

| Symptom | Cause | Fix | | --- | --- | --- | | LOF unexpectedly high | Large D / t thin-wall pipe | Use a thicker wall or smaller diameter | | LOF always zero | Very low sound power level | Confirm the pressure-drop and flow inputs | | Computed PWL ignored | sound_power_level_db supplied | Omit it to let the correlation compute PWL |

Limitations

  • No proprietary valve data, vendor noise curves, or company specs are included.
  • Branch-connection geometry, weld type, and downstream fitting layout are not modelled.
  • The correlation constants are documented screening approximations only.

References

  • Energy Institute, Guidelines for the Avoidance of Vibration Induced Fatigue Failure in Process Pipework, 2nd Edition.
  • Carucci, V. A., and Mueller, R. T., Acoustically Induced Piping Vibration in High Capacity Pressure Reducing Systems, ASME 82-WA/PVP-8.
  • NeqSim repository: https://github.com/equinor/neqsim

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.