Guided wave based-occupancy grid robotic mapping

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

Asset inspection of large structures such as storage tanks in the oil, gas and petrochemical industry is challenging, either requiring labour-intensive manual measurements or using robotic deployment to make the measurements. Current robotic systems employ point-by-point scanning, which is time-consuming. Using guided waves for such inspections is attractive as they provide a mechanism for monitoring the inaccessible areas and simultaneously providing structural location data to speed up the inspection process. In this research, shear horizontal (SH) guided waves generated by electromagnetic acoustic transducers (EMATs) are used to screen a large area using a crawler. EMATs with 22 mm wavelength are used to generate the first two SH modes: a non-dispersive SH0 and highly dispersive SH1 on a 10 mm thick steel sample. Previously, we have demonstrated the feasibility of guided wave-based occupancy grid mapping (GW-OGM) for mapping a structure's edges. In this work, the GW-OGM technique is generalised to identify and estimate the location of a flat bottom hole in a pitch-catch mode. The simulation and empirical data demonstrate that the location of damage can be identified as the robot navigates on the component, with full coverage. Moreover, the simulated data are in good agreement with the experimental results on the generation of SH wave modes.
Original languageEnglish
Title of host publicationEuropean Workshop on Structural Health Monitoring
Subtitle of host publicationSpecial Collection of 2020 Papers - Volume 2
EditorsPiervincenzo Rizzo, Alberto Milazzo
Place of PublicationSpringer, Cham
PublisherSpringer International Publishing AG
Pages267-275
Number of pages9
ISBN (Electronic)978-3-030-64908-1
ISBN (Print)978-3-030-64907-4
DOIs
Publication statusPublished - 9 Jan 2021
EventEuropean Workshop on Structural Health Monitoring : 10th EWSHM - Palermo, Italy
Duration: 4 Jul 20207 Jul 2020
Conference number: 10
http://www.ewshm2020.com/

Publication series

NameLecture Notes in Civil Engineering (LNCE)
PublisherSpringer
Volume128
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

ConferenceEuropean Workshop on Structural Health Monitoring
Abbreviated titleEWSHM 2020
CountryItaly
CityPalermo
Period4/07/207/07/20
Internet address

Keywords

  • bayesian imaging
  • guided waves
  • occupancy grid mapping
  • shear horizontal (SH) waves

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