Characterization of Full Bridge Strain Transducers for Haulage Equipment Payload Distribution Monitoring

Creating a dependable approach for identifying both the mass of a shuttle car and how material is distributed in it removes the need for equipment operators to manually engage the flight chain. The quantification of environmental and installation conditions and the extent of influence considering their combined contribution towards inaccurate or exclusive measurements are to that degree limited. This experimental study investigated how two different strain transducers-installed in a force-shunt configuration-respond to thermo-mechanical loads when used to determine load distribution and position. Initial observations indicated that thermal effects at the installation site contributed to measurement inaccuracies or exclusive readings. The investigation quantified the impact of environmental and installation variables on measurement accuracy and found this influence to be indirectly linked to the mechanical properties of the substrate to which the strain transducers were mounted. Mounting bolt torque was determined to exert a negligible effect on strain measurement accuracy for the custom-built strain transducers. Nonetheless, both transducers failed to consistently return to the selected baseline at the start of experiments since thermal dependence persisted at the balanced state following the first cycle of loading. The research indicated that the custom-built force-shunt strain transducers are an effective means for mapping the profile and location of coal in shuttle cars, provided that the systems are subjected to continuous and cyclic rebalancing to maintain accuracy.

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Publication Details

Journal
Sensors
Published
2026-04-12
DOI
https://doi.org/10.3390/s26082374
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Characterization of Full Bridge Strain Transducers for Haulage Equipment Payload Distribution Monitoring

Joseph Sottile, Steve Schafrik, Zach Agioutantis, Jean-Pierre Strydom
Sensors
Structural Health Monitoring Techniques
article

Characterization of Full Bridge Strain Transducers for Haulage Equipment Payload Distribution Monitoring

Joseph Sottile, Steve Schafrik, Zach Agioutantis, Jean-Pierre Strydom
article en

Abstract

Creating a dependable approach for identifying both the mass of a shuttle car and how material is distributed in it removes the need for equipment operators to manually engage the flight chain. The quantification of environmental and installation conditions and the extent of influence considering their combined contribution towards inaccurate or exclusive measurements are to that degree limited. This experimental study investigated how two different strain transducers-installed in a force-shunt configuration-respond to thermo-mechanical loads when used to determine load distribution and position. Initial observations indicated that thermal effects at the installation site contributed to measurement inaccuracies or exclusive readings. The investigation quantified the impact of environmental and installation variables on measurement accuracy and found this influence to be indirectly linked to the mechanical properties of the substrate to which the strain transducers were mounted. Mounting bolt torque was determined to exert a negligible effect on strain measurement accuracy for the custom-built strain transducers. Nonetheless, both transducers failed to consistently return to the selected baseline at the start of experiments since thermal dependence persisted at the balanced state following the first cycle of loading. The research indicated that the custom-built force-shunt strain transducers are an effective means for mapping the profile and location of coal in shuttle cars, provided that the systems are subjected to continuous and cyclic rebalancing to maintain accuracy.

SensorsVol. 26(8)
University of Kentucky (US)
Alpha Foundation for the Improvement of Mine Safety and Health
Life in Land
Openalex Percentile: Top 25%
Structural Health Monitoring Techniques
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