scholarly journals A New Method for Internal Force Detection of Steel Bars Covered by Concrete Based on the Metal Magnetic Memory Effect

Metals ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 661 ◽  
Author(s):  
Caoyuan Pang ◽  
Jianting Zhou ◽  
Qingyuan Zhao ◽  
Ruiqiang Zhao ◽  
Zhuo Chen ◽  
...  
Keyword(s):  
Memory Effect ◽  
Internal Force ◽  
New Method ◽  
Detection Methods ◽  
Axial Position ◽  
Magnetic Memory ◽  
Metal Magnetic Memory ◽  
Force Detection ◽  
Steel Bar ◽  
Steel Bars

In this paper, the specimens of steel bars covered by concrete (SBCC) are taken as research objects, and a new method for steel bar internal force detection based on the metal magnetic memory effect is proposed. The variation law of the self-magnetic flux leakage (SMFL) signals on the surfaces of SBCC specimens with loading tension and the variation of the SMFL signals along the axial positions of specimens under different tensile forces are studied. The results show that when the loading tension is about 90% of the yield tension, the tangential component of the SMFL signal has a maximum extreme point. The distribution of the SMFL signals along the axial position shows a smooth curve, where the values at both ends are small while the intermediate values are large. This paper also proposes the use of the “area ratio deviation parameter” to quantitatively calculate the internal forces of the steel bars. This parameter shows a significant linear relationship with the loading tension during the strengthening stage of the specimens. This method can supplement the existing steel bar stress detection methods and has prospective research value.

scholarly journals Research on Internal Force Detection Method of Steel Bar in Elastic and Yielding Stage Based on Metal Magnetic Memory

Materials ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1167 ◽  
Author(s):  
Caoyuan Pang ◽  
Jianting Zhou ◽  
Ruiqiang Zhao ◽  
Hu Ma ◽  
Yi Zhou
Keyword(s):  
Tensile Force ◽  
Extreme Points ◽  
Internal Force ◽  
Axial Position ◽  
Magnetic Memory ◽  
Metal Magnetic Memory ◽  
Destructive Testing ◽  
Force Detection ◽  
Steel Bar ◽  
Tensile Forces

Based on the metal magnetic memory effect, this paper proposed a new non-destructive testing method for the internal tensile force detection of steel bars by analyzing the self-magnetic flux leakage (SMFL) signals. The variation of the SMFL signal of the steel bar with the tensile force indicates that the curve of the SMFL signal has a significant extreme point when the tensile force reaches about 65% of the yield tension, of which the first derivative curve has extreme points in the elastic and yielding stages, respectively. To study the variation of SMFL signal with the axial position of the steel bar under different tensile forces, a parameter reflecting the fluctuation of the SMFL signal along the steel bar is proposed. The linear relationship between this parameter and the tensile force can be used to quantitatively calculate the tensile force of steel bar. The method in this paper provides significant application prospects for the internal force detection of steel bar in the actual engineering.

scholarly journals A High Precision Quality Inspection System for Steel Bars Based on Machine Vision

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2732 ◽  
Author(s):  
Xinman Zhang ◽  
Jiayu Zhang ◽  
Mei Ma ◽  
Zhiqi Chen ◽  
Shuangling Yue ◽  
...  
Keyword(s):  
Machine Vision ◽  
High Precision ◽  
Absolute Error ◽  
Detection Methods ◽  
Inspection System ◽  
Quality Inspection ◽  
Construction Site ◽  
High Definition ◽  
Steel Bar ◽  
Steel Bars

Steel bars play an important role in modern construction projects and their quality enormously affects the safety of buildings. It is urgent to detect whether steel bars meet the specifications or not. However, the existing manual detection methods are costly, slow and offer poor precision. In order to solve these problems, a high precision quality inspection system for steel bars based on machine vision is developed. We propose two algorithms: the sub-pixel boundary location method (SPBLM) and fast stitch method (FSM). A total of five sensors, including a CMOS, a level sensor, a proximity switch, a voltage sensor, and a current sensor have been used to detect the device conditions and capture image or video. The device could capture abundant and high-definition images and video taken by a uniform and stable smartphone at the construction site. Then data could be processed in real-time on a smartphone. Furthermore, the detection results, including steel bar diameter, spacing, and quantity would be given by a practical APP. The system has a rather high accuracy (as low as 0.04 mm (absolute error) and 0.002% (relative error) of calculating diameter and spacing; zero error in counting numbers of steel bars) when doing inspection tasks, and three parameters can be detected at the same time. None of these features are available in existing systems and the device and method can be widely used to steel bar quality inspection at the construction site.

Analysis of Metal Magnetic Memory Testing Technology

2012 ◽  
Vol 503-504 ◽  
pp. 1623-1626
Author(s):  
Guo Min Lin ◽  
Hang Yun Lin ◽  
Kai Dong
Keyword(s):  
Memory Effect ◽  
Magnetic Memory ◽  
Memory Testing ◽  
Metal Magnetic Memory ◽  
Testing Technology ◽  
Metal Magnetic Memory Testing

The magnetic memory effect and the principle of magnetic memory testing are described; The phenomenon of the magnetostriction is discussed. An instance is used with detail to analysis of the effect and mechanism of metal magnetic memory testing technology. Some opinions about the further work needs to be done in this area are given finally.

Metal magnetic memory effect caused by circle tensile-compressive stress

2011 ◽  
Vol 53 (3) ◽  
pp. 142-145 ◽  
Author(s):  
Jianwei Li ◽  
Minqiang Xu ◽  
Jiancheng Leng ◽  
Mingxiu Xu ◽  
Shuai Zhao
Keyword(s):  
Compressive Stress ◽  
Memory Effect ◽  
Magnetic Memory ◽  
Metal Magnetic Memory

Study on Physical Mechanism of Metal Magnetic Memory Technique

2010 ◽  
Vol 34-35 ◽  
pp. 841-844 ◽  
Author(s):  
Da Bo Wu ◽  
Min Qiang Xu ◽  
Jian Wei Li
Keyword(s):  
Memory Effect ◽  
Physical Mechanism ◽  
Stress Measurement ◽  
Magnetic Memory ◽  
Metal Magnetic Memory ◽  
Destructive Testing ◽  
Engineering Structures ◽  
Testing Metal ◽  
Induced Magnetic Anisotropy ◽  
Non Destructive

The evaluation of stresses in engineering structures to provide early indications of stress status is a fast growing area in non-destructive testing. Metal magnetic memory technique is the magnetic stress measurement technique for ferromagnetic materials using passive magnetic fields to monitor changes in the magnetic properties of materials. This paper studied the physical formation process of metal magnetic memory effect. This paper studied the physical mechanism between stress and magnetic field in metal magnetic memory effect, through the influence of stress-induced magnetic anisotropy on magnetization process of ferromagnetic crystal.

Nondestructive Testing of the Wire Rope Fault Detection

2014 ◽  
Vol 971-973 ◽  
pp. 588-591
Author(s):  
Mei Juan Lian ◽  
Guo Hua Gao ◽  
Ya Nan Qin ◽  
Yue Liu ◽  
Ming Yang Song
Keyword(s):  
Fault Detection ◽  
Nondestructive Testing ◽  
Steel Wire ◽  
Ultrasonic Method ◽  
Current Method ◽  
Detection Methods ◽  
Magnetic Memory ◽  
Metal Magnetic Memory ◽  
Eddy Current Method ◽  
Wire Ropes

With the development of nondestructive testing (NDT) technology for wire ropes, various detection methods are constantly refined and improved. The primary and representative NDT methods are suitable for the detection of wire ropes including manual inspection, acoustic emission method,acoustic-ultrasonic method,eddy current method,electromagnetic method and metal magnetic memory method. Meanwhile, the research results of our laboratory based on the theory of the magnetic flux leakage to detect wire rope’s fault detection will be displayed. Through comparisons of methods’ merits and weaknesses,it also has brought forward the new trends about adopting metal magnetic memory to predict the lifetime of the steel wire ropes,which has greater value in theory and application for improving the precise detection of the in-service ropes.

scholarly journals New Method of Metal Magnetic Memory Signal Measuring and Denoising

2019 ◽  
Author(s):  
S. J. Deng ◽  
H. L. Chen ◽  
L. W. Tang ◽  
W. Wang
Keyword(s):  
New Method ◽  
Magnetic Memory ◽  
Metal Magnetic Memory
Sign in / Sign up

Export Citation Format

Share Document