Probability evaluation method of cable corrosion degree based on self-magnetic flux leakage

Xia, Runchuan; Zhang, Hong; Zhou, Jianting; Liao, Leng; Zhang, Ze-Yu; Yang, Feixiong

doi:10.1016/j.jmmm.2020.167544

Cited by 30 publications

(12 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is generally represented by Figure 6b,c. According to the VDM in the state in which the magnetic domain is deformed, as shown in Figure 6d, Equation ( 13) can be expressed as Equation (19). According to the VDM in the state in which the magnetic domain is not deformed, as shown in Figure 3c, Equation ( 13) can be expressed as Equation (18).…”

Section: Magnetic Domain Models For Stress and Fatigue Cracksmentioning

confidence: 99%

Section: Magnetic Domain Models For Stress and Fatigue Cracksmentioning

confidence: 99%

“…This is generally represented by Figure 6b,c. According to the VDM in the state in which the magnetic domain is deformed, as shown in Figure 6d, Equation ( 13) can be expressed as Equation (19). The vector magnetic potential (VMP) (A ⃗ ) and MFD (B ⃗ ) are expressed by Equations ( 20) and ( 21), respectively.…”

Section: Magnetic Domain Models For Stress and Fatigue Cracksmentioning

confidence: 99%

“…A study on magnetic metal memory (MMM) has been reported in leakage magnetic flux testing which is able to detect an internal defect by measuring the self-magnetic flux leakage (SMFL) [14][15][16][17]. Many related studies have reported the development of this technology for solid ferromagnetic materials and assemblies of ferromagnetic materials, through experimental data models [18][19][20], the probability evaluation model [21], and the magnetic theoretical model. It was found that the SMFD signal around the defect changed depending on the defect types, defect position, and cross-sectional area [17].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Theoretical Model of Self-Magnetic Flux Leakage and Its Application in Estimating the Depth Direction of a Fatigue Crack

2022

View full text Add to dashboard Cite

In this study, theoretical models were proposed to explain the changes in self-magnetic flux density (SMFD) due to fatigue cracks in the presence and absence of external magnetic fields. Three theoretical models were proposed: rotation domain model (RDM), concentration domain model (CDM), and vertical domain model (VDM), considering the deformation and non-deformation possibilities. To prove the theoretical model, fatigue cracks with different depth angles were fabricated through fatigue testing and EDM processing on the CT specimens. In addition, tunnel magnetoresistance (TMR) sensors were used to evaluate the 3-axis distribution of SMFD. Comparing the simulation and experimental results, similar tendencies of the occurrence and depth angle of fatigue cracks and their effect on the distribution of SMFD were observed. According to the RDM, the distribution of SMFD occurs in the direction of the crack length (y-direction), while the CDM explains that the SMFD does not occur if the fatigue crack is in a direction perpendicular to the surface. In addition, the VDM shows that SMFDs occur in a direction perpendicular to the crack length (x-direction) and the specimen surface (z-direction). Interestingly, these trends agree with the experimental results, which confirms the validity of the theoretical model and thus can be used to estimate the depth direction of a fatigue crack.

show abstract

Section: Magnetic Domain Models For Stress and Fatigue Cracksmentioning

confidence: 99%

Section: Magnetic Domain Models For Stress and Fatigue Cracksmentioning

confidence: 99%

“…This is generally represented by Figure 6b,c. According to the VDM in the state in which the magnetic domain is deformed, as shown in Figure 6d, Equation ( 13) can be expressed as Equation (19). The vector magnetic potential (VMP) (A ⃗ ) and MFD (B ⃗ ) are expressed by Equations ( 20) and ( 21), respectively.…”

Section: Magnetic Domain Models For Stress and Fatigue Cracksmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Theoretical Model of Self-Magnetic Flux Leakage and Its Application in Estimating the Depth Direction of a Fatigue Crack

2022

View full text Add to dashboard Cite

show abstract

“…The significant flux fluctuation is the indicator of the defect in the cable. Xia et al (2021) proposed a method for detection of the corrosion of steel wires inside cable structures by the combination of probability evaluation method and self-magnetic flux leakage method. However, in case the bridge cables are protected by steel wrapping, these methods may have difficulties due to the disturbances in the magnetic flux caused by the steel wrapping of the cable (Christen et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Damage detection of cables in cable-stayed bridges using vibration data measured from climbing robot

Nguyen

Pham

Dao

2022

Advances in Structural Engineering

View full text Add to dashboard Cite

This paper presents a method for damage detection of bridge cables using the vibration signal coming from the sensor installed in the climbing robot. In this paper, the damage types are crack and local reduction in diameter. The climbing robot consisting of a body and three wheels connected to the body by three springs. The cable is considered as an axially loaded Euler beam. When there is no crack, the dynamic displacement of the robot is smooth and no distortion at the crack position can be inspected. However, when there is a damage in the cable, there is a distortion in the robot displacement at the damage location but this distortion is small and difficult to be observed visually. The distortion caused by the crack is presented as the significant peaks in the wavelet transform of the robot displacement. The proposed method is promising since it is efficient to detect cracks with depth as small as 1% of the cable diameter and to detect local changes in diameter with amplitude as small as 0.1%.

show abstract

Monitoring of Cable Force Using Wired and Wireless Methods Based on PZT TRANSDUCER: A Feasibility Study

Sun,

Zhu,

Zou

et al. 2024

Lecture Notes in Civil Engineering

View full text Add to dashboard Cite

Probability evaluation method of cable corrosion degree based on self-magnetic flux leakage

Cited by 30 publications

References 29 publications

Theoretical Model of Self-Magnetic Flux Leakage and Its Application in Estimating the Depth Direction of a Fatigue Crack

Theoretical Model of Self-Magnetic Flux Leakage and Its Application in Estimating the Depth Direction of a Fatigue Crack

Damage detection of cables in cable-stayed bridges using vibration data measured from climbing robot

Monitoring of Cable Force Using Wired and Wireless Methods Based on PZT TRANSDUCER: A Feasibility Study

Contact Info

Product

Resources

About