Detection of Fractures in Prestressing Steel Strands using the Magnetic Flux Leakage Test

The magnetic flux leakage test is a non-destructive testing method employed to assess the integrity of tendons, which are of crucial importance for the stability of the entire prestressed concrete structure. The detection of fractures in prestressing steel strands is subject to a large number of physical and geometric parameters. A significant proportion of these influencing factors have already been quantified in reductionist laboratory experiments. The overarching objective of the master's thesis was to investigate these factors in an application-oriented setup. This was achieved through a series of laboratory tests, which allowed for the variation of boundary conditions. The signals were evaluated using a standardised detection algorithm based on correlation analysis. Furthermore, the influencing factors could be quantified by subjecting all of the 408 different test configurations to statistical analysis. The results of this

Authors

Publication Details

Journal
Research and Review Journal of Nondestructive Testing
Published
2024-08-23
DOI
https://doi.org/10.58286/30174
Citations
1
Primary Topic
Non-Destructive Testing Techniques
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detection of Fractures in Prestressing Steel Strands using the Magnetic Flux Leakage Test

Jonathan Villing
1 citations
Research and Review Journal of Nondestructive Testing
Non-Destructive Testing Techniques
0.21
article

Detection of Fractures in Prestressing Steel Strands using the Magnetic Flux Leakage Test

Jonathan Villing
article en
1 citations

Abstract

The magnetic flux leakage test is a non-destructive testing method employed to assess the integrity of tendons, which are of crucial importance for the stability of the entire prestressed concrete structure. The detection of fractures in prestressing steel strands is subject to a large number of physical and geometric parameters. A significant proportion of these influencing factors have already been quantified in reductionist laboratory experiments. The overarching objective of the master's thesis was to investigate these factors in an application-oriented setup. This was achieved through a series of laboratory tests, which allowed for the variation of boundary conditions. The signals were evaluated using a standardised detection algorithm based on correlation analysis. Furthermore, the influencing factors could be quantified by subjecting all of the 408 different test configurations to statistical analysis. The results of this

Research and Review Journal of Nondestructive TestingVol. 2(1)
Sustainable cities and communities
Openalex Percentile: Top 53%
Non-Destructive Testing Techniques
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Detection of Fractures in Prestressing Steel Strands using the Magnetic Flux Leakage Test — Jonathan Villing · Research and Review Journal of Nondestructive Testing (2024) | TGRS Research Map | TGRS