Fiber Bragg grating sensing system for detection of laser-induced ultrasonics in application to railway

Yang Zhao, Yinian Zhu, Junfang Wang, Songye Zhu, Jian Ma

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

Abstract

This paper presents a new approach for detecting ultrasonic generated by a laser in the confined ablation regime, utilizing an adaptive fiber Bragg gratin (FBG) sensing system. A nanosecond pulsed laser is used for generating ultrasonic wave in aluminum specimen with water-confined layer. Experimental measurements demonstrate that the amplitudes of Rayleigh wave in the confined ablation regime are unexpectedly 8 times larger than the ones in direct ablation regime when the incident laser intensity is about 0.12×109 W/cm2. It is shown that confinement of the surface with a waterconfined layer provides an effective method of enhancing amplitude of laser-induced ultrasonic waves in the target material about an order of magnitude. These results indicate that the possibility of applying the laser-based FBG ultrasonic sensing system in nondestructive testing (NDT) and structure health monitoring (SHM) within special structural materials of high-speed train.
Original languageEnglish
Title of host publicationStructural Health Monitoring 2017
Subtitle of host publicationReal-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017
PublisherDEStech Publications
Pages2830-2839
Number of pages10
Volume2
ISBN (Electronic)9781605953304
Publication statusPublished - 1 Jan 2017
Event11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017 - Stanford University, Stanford, United States
Duration: 12 Sep 201714 Sep 2017

Conference

Conference11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017
Country/TerritoryUnited States
CityStanford
Period12/09/1714/09/17

ASJC Scopus subject areas

  • Health Information Management
  • Computer Science Applications

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