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Accounting for Viscoelasticity When Interpreting Nano-Composite High-Deflection Strain Gauges
Spencer A Baker1, McKay D McFadden1, Emma E Bowden1
1Department of Mechanical Engineering, Brigham Young University, Provo, UT 84602, USA.
Sensors (Basel, Switzerland)
|July 27, 2022
Summary
High-deflection strain gauges offer a cost-effective way to measure large deformations. This study developed a new model accounting for their time-dependent behavior, improving accuracy in strain and strain rate measurements.
Area of Science:
- Mechanical Engineering
- Materials Science
Background:
- High-deflection strain gauges are economical sensors for large deformations.
- Their viscoelastic nature complicates accurate interpretation compared to conventional gauges.
Purpose of the Study:
- To develop and validate a model for interpreting high-deflection strain gauge outputs.
- To incorporate the time-dependent, viscoelastic properties of these sensors into a predictive model.
Main Methods:
- Developed a quasi-static model by fitting equations to observed data.
- Incorporated dynamic components to capture resistance spikes and decays.
- Calibrated the sensor-specific model using two known strain data points.
Main Results:
- The model accurately predicted strain with an average mean absolute error (MAE) of 1.4%.
- Strain rate was determined with an average MAE of 0.036 mm/s.
- The model demonstrated effectiveness during cyclical loading conditions.
Conclusions:
- The developed model successfully interprets high-deflection strain gauge signals, accounting for viscoelasticity.
- The simple calibration procedure allows for sensor-specific tuning.
- This approach has potential applications in biomechanical monitoring and analysis.
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