Assessment of Corrosion of Steel in Concrete Structures by Magnetic Based NDE Techniques

Ghorbanpoor, Al; Shi, Shan

doi:10.1520/stp16971s

Cited by 3 publications

(3 citation statements)

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“…The former is used in the process in which certain data that can reflect the anomaly/damage in the structure are collected. A wide variety of data have been explored for SHM applications, which, when categorized, correspond to various damage detection methods including acoustic emission methods [1,2], magnetic field methods [3], eddy-current techniques [4], thermal field methods [5], vibration/frequency response methods [6], Lamb wave methods [7,8], impedance-based techniques [9,10], etc. In these methods, the data are collected by different types of sensors either through passive approaches (i.e., without actively exciting the structure) or by active means (i.e., active interrogation using actuators to excite the structure).…”

Section: Introductionmentioning

confidence: 99%

Aggressive Data Reduction for Damage Detection in Structural Health Monitoring

Park

Tang

Ding

2009

Structural Health Monitoring

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While wireless sensors are increasingly adopted in various applications, the need of developing data reduction methods to alleviate data transmission rate issue between the sensors and the data interpretation unit becomes more urgent. This article presents a new data reduction method for sensors used in structural health monitoring application. Our goal is to achieve an effective data reduction capability while maintaining adequate power for damage detection. We propose to establish an explicit measure of damage detection capability for the features in the response signals and use this measure to select the subset of the features that balance between the degree of data reduction and the damage detection capability. We also explore a computationally efficient procedure searching for the best subset of the features. This new method is tested on experimentally obtained Lamb wave signals for beam damage detection. Performance comparisons with respect to the existing methods demonstrate the strength of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Aggressive Data Reduction for Damage Detection in Structural Health Monitoring

Park

Tang

Ding

2009

Structural Health Monitoring

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“…In the current MFL system, two permanent magnets are used as the magnetizer to subject a PS concrete structure to a high level of magnetic field ( 3 , 4 ). Permanent magnets have more versatile applications in the field because of their simpler hardware requirements and speedy operation.…”

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confidence: 99%

Development of Robotic Nondestructive Testing of Steel Corrosion of Prestressed Concrete Bridge Girders using Magnetic Flux Leakage System

Azari

Ghorbanpoor

Shams

2020

Transportation Research Record: Journal of the Transportation R

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This paper describes the development and validation of a new magnetic-based corrosion detection device integrated in a robotic system. The system nondestructively scans the length of AASHTO-type prestressed concrete I-girders of bridges. The system includes two primary subsystems: an independent magnetic flux leakage (MFL) system for nondestructive testing, and a robotic rover to transport the MFL system along the girder’s length with navigation around transverse diaphragms. The MFL unit inspects prestressing steel strands embedded in concrete and detects cross-section losses caused by corrosion. The MFL is designed with two permanent magnets to magnetize embedded strands and multiple Hall-effect sensors to detect normal and axial magnetic flux leakage. The system is evaluated by testing a laboratory mockup girder and further applied on a field girder. Resulting magnetic signals from both normal and axial Hall-effect sensors are recorded using a newly developed and integrated data acquisition system. Finite element simulations through multi-physics 3D transient analysis aided the development of the new MFL system components, including appropriate magnets strength and dimensions, as well as the verification of the developed system. The effects of lateral reinforcements on nearby section loss are obtained from tests and analyzed with numerical models. Results indicate that the system can successfully disclose magnetic leakage signals at the corrosion zone.

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“…Also, signals originating in desired objects can be interfered with by signals from nearby secondary ferromagnetic objects. In the current MFL system, two permanent magnets are used as the magnetizer to subject a prestressed concrete structure to the magnetic field ( 3 , 4 ). The magnets/sensors assembly travels linearly along the length of the structure while maintaining a constant distance from the concrete surface.…”

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confidence: 99%

Nondestructive Testing of Steel Corrosion in Prestressed Concrete Structures using the Magnetic Flux Leakage System

Shams

Ghorbanpoor

Lin

et al. 2018

Transportation Research Record

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The Magnetic Flux Leakage (MFL) method can be nondestructively used to disclose the location and extent of corrosion or fracture in prestressed strands in concrete structures. In this study, parameters with the greatest effect on the performance of the MFL system are investigated using numerical simulations. The MFL system under study is based on two permanent magnets to magnetize embedded strands and Hall-effect sensors to detect normal magnetic flux leakage. The system is assessed using magnetostatic and transient numerical analysis to effectively simulate the MFL system. Results have been verified by laboratory and field experiments. Both normal and axial Hall-effect sensors are modeled in simulations to better identify magnetic signals at the corrosion zone. The sensor lift-off and the magnetic field masking by lateral reinforcements on nearby pitting corrosion are addressed as two main drawbacks of using MFL systems to detect corrosion in prestressed concrete structures. To provide more details about the flux leakage interference between the pitting corrosion and lateral reinforcements in prestressed concrete structures, linear and oriented magnets/sensor arrays are proposed and analyzed numerically.

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Assessment of Corrosion of Steel in Concrete Structures by Magnetic Based NDE Techniques

Cited by 3 publications

References 0 publications

Aggressive Data Reduction for Damage Detection in Structural Health Monitoring

Aggressive Data Reduction for Damage Detection in Structural Health Monitoring

Development of Robotic Nondestructive Testing of Steel Corrosion of Prestressed Concrete Bridge Girders using Magnetic Flux Leakage System

Nondestructive Testing of Steel Corrosion in Prestressed Concrete Structures using the Magnetic Flux Leakage System

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