Next Article in Journal
Investigation of the Dynamic Buckling of Spherical Shell Structures Due to Subsea Collisions
Previous Article in Journal
Characterization of Spatial Light Modulator Based on the Phase in Fourier Domain of the Hologram and Its Applications in Coherent Imaging
Article Menu

Export Article

Open AccessArticle
Appl. Sci. 2018, 8(7), 1147; https://doi.org/10.3390/app8071147

Simulation of Real Defect Geometry and Its Detection Using Passive Magnetic Inspection (PMI) Method

1
Mechanical and Mechatronics Engineering Department, University of Waterloo, Ontario, N2L 3G1, Canada
2
Earth and Environmental Sciences Department, University of Waterloo, Ontario, N2L 3G1, Canada
*
Author to whom correspondence should be addressed.
Received: 26 May 2018 / Revised: 3 July 2018 / Accepted: 4 July 2018 / Published: 14 July 2018
(This article belongs to the Special Issue Nondestructive Testing in Composite Materials)

Abstract

Reinforced concrete is the most commonly used material in urban, road, and industrial structures. Quantifying the condition of the reinforcing steel can help manage the human and financial risks that arise from unexpected reinforced concrete structure functional failure. Also, a quantitative time history of reinforcing steel condition can be used to make decisions on rehabilitation, decommissioning, or replacement. The self-magnetic behavior of ferromagnetic materials is useful for quantitative condition assessment. In this study, a ferromagnetic rebar with artificial defects was scanned by a three-dimensional (3D) laser scanner. The obtained point cloud was imported as a real geometry to a finite element software platform; its self-magnetic behavior was then simulated under the influence of Earth’s magnetic field. The various passive magnetic parameters that can be measured were reviewed for different conditions. Statistical studies showed that 0.76% of the simulation-obtained data of the rebar surface was related to the defect locations. Additionally, acceptable coincidences were confirmed between the magnetic properties from numerical simulation and from experimental outputs, most noticeably at hole locations. View Full-Text
Keywords: reinforce concrete; rebar; defect; self-magnetic behavior; magnetic flux density; probability paper method; Passive Magnetic Inspection (PMI) reinforce concrete; rebar; defect; self-magnetic behavior; magnetic flux density; probability paper method; Passive Magnetic Inspection (PMI)
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Mosharafi, M.; Mahbaz, S.; Dusseault, M.B. Simulation of Real Defect Geometry and Its Detection Using Passive Magnetic Inspection (PMI) Method. Appl. Sci. 2018, 8, 1147.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Appl. Sci. EISSN 2076-3417 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top