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Proceedings Paper

Data fusion approach for characterization of corrosion-induced stress change in prestressing strands using modulated higher-order guided ultrasonic waves
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Paper Abstract

This paper proposes a guided wave-based approach for monitoring stress redistribution in prestressing strands under corrosion. The stress dependence of wave velocity is leveraged for stress measurement, while targeting advantageous frequencies of higher-order wave modes to eliminate the geometric effects of corrosion. For practical longterm monitoring scenarios, where sensor reattachment/replacement may introduce artificial noise, a technique for eliminating such effects (called modal modulation) is also proposed. To demonstrate the approach, accelerated corrosion testing was carried out on a strand while actively generating and receiving higher-order modes. The strand was subjected to 29 cycles of accelerated corrosion (reaching 45% mass loss), with the 29th cycle terminated at the simultaneous fracture of three peripheral wires. The measurements from several higherorder modes were processed into a single estimate using a data fusion approach. The data fusion estimate showed good agreement with the measured stress values even under significant surface roughness (up to 20% mass loss), and especially under a large stress increase due to fracture. To evaluate the modal modulation technique, stress estimations obtained without applying the technique were also shown, which yielded incoherent results.

Paper Details

Date Published: 1 April 2019
PDF: 9 pages
Proc. SPIE 10972, Health Monitoring of Structural and Biological Systems XIII, 109721D (1 April 2019); doi: 10.1117/12.2513772
Show Author Affiliations
Brennan Dubuc, The Univ. of Texas at Austin (United States)
Arvin Ebrahimkhanlou, The Univ. of Texas at Austin (United States)
Salvatore Salamone, The Univ. of Texas at Austin (United States)

Published in SPIE Proceedings Vol. 10972:
Health Monitoring of Structural and Biological Systems XIII
Paul Fromme; Zhongqing Su, Editor(s)

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