Acoustoelastic-based stress measurement utilizing lowfrequency flexural waves

Mohammad I. Albakri*, Vijaya V.N. Sriram, Malladi Pablo A. Tarazaga

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Current acoustoelastic-based stress measurement techniques operate at the high-frequency, weakly-dispersive portions of the dispersion curves. The weak dispersive effects at such high frequencies allow the utilization of time-of-flight measurements to quantify the effects of stress on wave speed. However, this comes at the cost of lower sensitivity to the stateof- stress of the structure, and hence calibration at a known stress state is required to compensate for material and geometric uncertainties in the structure under test. In this work, the strongly-dispersive, highly stress-sensitive, low-frequency flexural waves are utilized for stress measurement in structural components. A new model-based technique is developed for this purpose, where the acoustoelastic theory is integrated into a numerical optimization algorithm to analyze dispersive waves propagating along the structure under test. The developed technique is found to be robust against material and geometric uncertainties. In the absence of calibration experiments, the robustness of this technique is inversely proportional to the excitation frequency. The capabilities of the developed technique are experimentally demonstrated on a long rectangular beam, where reference-free, un-calibrated stress measurements are successfully conducted.

Original languageEnglish
Title of host publicationModeling, Simulation and Control of Adaptive Systems; Integrated System Design and Implementation; Structural Health Monitoring
PublisherAmerican Society of Mechanical Engineers
ISBN (Electronic)9780791858264
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2017 - Snowbird, United States
Duration: 18 Sept 201720 Sept 2017

Publication series

NameASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2017
Volume2

Conference

ConferenceASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2017
Country/TerritoryUnited States
CitySnowbird
Period18/09/1720/09/17

Keywords

  • Acoustoelastic effect
  • Low frequency
  • Reference-free
  • Stress measurement

Fingerprint

Dive into the research topics of 'Acoustoelastic-based stress measurement utilizing lowfrequency flexural waves'. Together they form a unique fingerprint.

Cite this