Toward integrating Structural Health Monitoring with Internet of Things (IoT)

Alex Myers, Md Anam Mahmud, Ahmed Abdelgawad, Kumar Yelamarthi

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

22 Scopus citations

Abstract

Most of the existing Structural Health Monitoring (SHM) systems are vulnerable to environmental and operational damages. Yet, majority of these systems cannot detect the size and location of the damage. Guided wave techniques are widely used to detect damage in structures due to its sensitivity to different changes in the structure. Finding a mathematical model for such system will help to implement a reliable and efficient low-cost SHM system. Moreover, it can lead to integrate the SHM with the Internet of Things (IoT) for rapid response, off-loading computational power, store data, and and remotely monitoring. In this paper, a mathematical model is proposed to detect the size and location of damages in physical structures using piezoelectric sensor. The proposed model combines both pitch-catch and pulse-echo techniques, and has been verified through out simulations using ABAQUS/Explicit finite element software.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Electro Information Technology, EIT 2016
PublisherIEEE Computer Society
Pages438-441
Number of pages4
ISBN (Electronic)9781467399852
DOIs
StatePublished - Aug 5 2016
Event2016 IEEE International Conference on Electro Information Technology, EIT 2016 - Grand Forks, United States
Duration: May 19 2016May 21 2016

Publication series

NameIEEE International Conference on Electro Information Technology
Volume2016-August
ISSN (Print)2154-0357
ISSN (Electronic)2154-0373

Conference

Conference2016 IEEE International Conference on Electro Information Technology, EIT 2016
Country/TerritoryUnited States
CityGrand Forks
Period05/19/1605/21/16

Keywords

  • Internet of Things (IoT)
  • SHM
  • finite element simulation
  • piezoelectric sensor
  • pitch catch
  • pulse-echo

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