Structural Health Monitoring System for Remote Inspection of Material Failure

Mitsuhiro Okayasu, Toshiki Yamasaki

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A new structural health monitoring (SHM) system is proposed for inspecting the failure characteristics of engineering materials, which are monitored remotely. This system is controlled using electrical devices with wireless networking system. A PZT ceramic transducer, an accelerometer and a strain gauge are used to understand the failure characteristics. These sensors are attached to the test sample and reveal its static and dynamic strain behaviour, i.e., information on the material failure (crack generation) and related strains. It is also designed that a dummy plate with a PZT material is attached to the test sample. The dummy plate is designed to fracture earlier than the test sample during the loading process, whereupon the SHM system is triggered via the piezoelectric effect. A compact prototype SHM system is created to evaluate the effectiveness of our system. The failure characteristics are monitored well using the prototype SHM system, which might be able to predict the lifetime of the test sample, i.e., the SHM system reveals the critical strain value and crack growth rate just before the final failure of the test samples.

Original languageEnglish
Article number51
JournalJournal of Nondestructive Evaluation
Volume38
Issue number2
DOIs
Publication statusPublished - Jun 1 2019

Fingerprint

Structural health monitoring
Inspection
Piezoelectricity
Strain gages
Accelerometers
Transducers
Crack propagation
Cracks
Sensors

Keywords

  • Accelerometer
  • Failure characteristics
  • Health monitoring system
  • Piezoelectric ceramics
  • Strain

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering

Cite this

Structural Health Monitoring System for Remote Inspection of Material Failure. / Okayasu, Mitsuhiro; Yamasaki, Toshiki.

In: Journal of Nondestructive Evaluation, Vol. 38, No. 2, 51, 01.06.2019.

Research output: Contribution to journalArticle

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