Establishment of Technology to Automatically Determine the Presence or Absence of Steel Wires by Magnetic Data of Pre-tensioned Girder PC Steel Using Non-destructive Testing Device

被引：0

作者：

Teshima, Katsunori ^{[1
]}

Yamada, Atsushi ^{[1
]}

Okazaki, Shinichiro ^{[1
]}

机构：

[1] Konica Minolta Inc, Tokyo, Japan

来源：

PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON CONCRETE REPAIR, REHABILITATION AND RETROFITTING, ICCRRR 2024 | 2025年 / 59卷

关键词：

PC steel wire; Magnetic Flux Leakage; Non-Destructive Testing; Machine Learning; Pattern matching;

D O I：

10.1007/978-3-031-75507-1_15

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Sensing technology using magnetism and IoT technology 'SenrigaN' is a non-destructive testing technology currently under development. SenrigaN is a solution that visualizes fracture of internal PC steel wires in concrete structures in real time. By analyzing magnetic data using magnetic sensing and IoT, it is possible to instantly find fracture locations on-site bridges. At the same time, it is necessary to appropriately find whether PC steel wires are fractured. In this study, we used Magnetic Flux Leakage method and using a 3-axis magnetic measurement device to automatically capture the characteristics of changes in the magnetic flux waveform when steel inside concrete breaks and built a model that finds the presence or absence of a break.

引用

页码：144 / 152

页数：9

共 7 条

[1] Bishop C. M., 2006, Pattern Recognition and Machine Learning, V4
[2] Concrete Institute of Technology, 2023, Concrete Diagnosis Technology'23, P164
[3] mlit.go, Summary of the Study Group on Maintenance and Management of National Highways
[4] Nagatani T., 2022, P JAPAN SOC CIVIL EN, V78, P139
[5] Sakai K., 2006, Introduction to image processing and pattern recognition
[6] Takase N., 1957, Proc. Jpn. Soc. Civil Eng., V43, P38
[7] Teshima K., 2023, Inspection Technology

← 1 →