Magnetic properties of structural steels for simulation of crack monitoring by finite element method

Journal article (2020)

Authors

M.P. van der Horst University of Houston, Ship Hydromechanics and Structures - Mechanical, Maritime and Materials Engineering
M.L. Kaminski Ship Hydromechanics and Structures - Mechanical, Maritime and Materials Engineering
Research Group
Ship Hydromechanics and Structures (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2020 M.P. van der Horst, M.L. Kaminski
DOI: https://doi.org/10.1007/s10921-019-0644-z
More Info
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Published Date

2020

Language

English

Faculty

Mechanical, Maritime and Materials Engineering

Department

Marine and Transport Technology

Research Group

Ship Hydromechanics and Structures

Abstract

The metal magnetic memory method is a novel technique for monitoring fatigue cracks in steel structures, which can reduce operational expenses and increase safety by minimizing inspections. The crack geometry can be identified by measuring the self magnetic flux leakage, which is induced by the Earth’s magnetic field and the permanent magnetization. The finite element method can be used to simulate the induced magnetic field around cracks to help interpret the self magnetic flux leakage measurements, but it is unclear what material properties to use. This study aims to determine the magnetic permeability of structural steel for accurate simulation of the induced magnetic field around cracks by the finite element method. The induced magnetic field was extracted from measurements above two square steel plates, one without defect and one with a straight slit, and compared with finite element results in function of the relative permeability. For both plates, a uniform relative permeability could be found for which experimental and numerical results were in good agreement. For the plate without defect and a relative permeability of 350, errors were within 20% and were concentrated around the plate’s edges. For the plate with the slit and a relative permeability of 225, errors were within 5%.