On quantitative evaluation of fatigue cracks: An active way using nonlinear acousto-ultrasonic waves

C. Zhou, M. Hong, Zhongqing Su, Q. Wang, Li Cheng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

The majority of today's damage detection techniques rely on linear macroscopic changes in global vibration signatures or local wave scattering phenomena. However, damage in real-world structures often initiates from fatigue cracks at microscopic levels, presenting highly nonlinear characteristics which may not be well evidenced in linear macroscopic changes. By exploring the nonlinearities of higher-order acousto-ultrasonic (AU) waves, an active approach for characterizing fatigue cracks was established. Nonlinearities of higher-order AU waves, subjected to the existence and accumulation of fatigue cracks, were explored. Fundamental investigation was carried out to link the nonlinearities of AU waves to the relative distance between a sensing path and the fatigue crack. Results from simulation and experiment match well in between, which can be used to quantitatively evaluate fatigue cracks. Compared with existing detection approaches based on nonlinear AU waves, this method embodies uniqueness including utilization of a permanently attached active sensor network comprising miniaturized sensors, well accommodating the purpose of structural health monitoring.
Original languageEnglish
Title of host publicationProceedings of the 6th European Workshop - Structural Health Monitoring 2012, EWSHM 2012
Pages99-106
Number of pages8
Volume1
Publication statusPublished - 1 Dec 2012
Event6th European Workshop on Structural Health Monitoring 2012, EWSHM 2012 - Dresden, Germany
Duration: 3 Jul 20126 Jul 2012

Conference

Conference6th European Workshop on Structural Health Monitoring 2012, EWSHM 2012
CountryGermany
CityDresden
Period3/07/126/07/12

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Signal Processing
  • Civil and Structural Engineering
  • Building and Construction
  • Safety, Risk, Reliability and Quality

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