Journal article
Stress Measurement in Seven-Wire Strands using Higher Order Guided Ultrasonic Wave Modes
Transportation research record, v 2672(41), pp 123-131
01 Dec 2018
Abstract
This paper investigates the use of higher order longitudinal guided modes for stress measurement within individual wires of a steel strand. The effect of stress on the phase velocity of higher order modes is studied using an approximate theory, which does not require the solution of dispersion curves. To validate the proposed approach, a prestressing bed was designed to apply a tensile load to a strand up to 25% ultimate tensile strength while recording guided wave signals. Guided waves were excited within individual wires of a strand, and the stress sensitivity of their phase velocity was used for stress measurement. Stress measurement was performed with higher order modes using the approximate theory with parameters for a steel of similar carbon content (Hecla 17), as well as with calibrated parameters. Using the Hecla 17 parameters, roughly 15% mismatch in stress was observed, whereas roughly 5% error was observed using calibrated parameters. Stress measurement was also performed using the fundamental mode, in order to compare the accuracy of higher order modes with the mode used previously in the literature. The greater stability of higher order modes across mode and frequency yielded significantly increased stress measurement accuracy, using both Hecla 17 and calibrated parameters.
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Details
- Title
- Stress Measurement in Seven-Wire Strands using Higher Order Guided Ultrasonic Wave Modes
- Creators
- Brennan Dubuc - The University of Texas at AustinArvin Ebrahimkhanlou - The University of Texas at AustinSalvatore Salamone - The University of Texas at Austin
- Publication Details
- Transportation research record, v 2672(41), pp 123-131
- Publisher
- Sage
- Number of pages
- 9
- Grant note
- 16-337 / Texas Department of Transportation (TxDOT)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000469286600012
- Scopus ID
- 2-s2.0-85052293538
- Other Identifier
- 991021890013004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Civil
- Transportation
- Transportation Science & Technology