Langford Analytic · Knowledge Base

Strain-Gauge Data Processing Workflow

How to process strain-gauge test data for FEA correlation — units, scaling, filtering, gauge orientation and uncertainty.

Article 11.01Test & Data Tools4 min read
strain gaugedata processingtestcorrelationfiltering

Engineering Task

Processing raw strain-gauge data from a physical test for comparison with FEA predictions.

Workflow

  1. Convert raw voltage to microstrain using the gauge factor and bridge configuration
  2. Apply zero-balance correction — subtract the initial reading before loading
  3. Apply shunt calibration correction if the gauge was shunt-calibrated
  4. Filter the data — remove electrical noise (50/60 Hz) without removing signal
  5. Scale to the FE load level if the test was at a different load (verify linearity)
  6. Convert to stress if needed: σ = E × ε (for uniaxial) or use rosette equations

Key Considerations

  • Verify units — microstrain (×10⁻⁶) is standard; do not mix with percent strain
  • For rosette gauges: compute principal strains using the rosette equations, not individual arms
  • Account for gauge factor tolerance (typically ±0.5%) and bridge nonlinearity for quarter-bridge
  • Filtering: use a low-pass filter with a cutoff above the highest frequency of interest
  • Record the gauge location, orientation and grid ID for traceability

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