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Open AccessArticle

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

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College of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China
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College of Materials Science and Engineering and Engineering Research Center of Bridge Structure and Material in the Mountainous Area of Ministry of Education, Chongqing Jiaotong University, Chongqing 400074, China
3
Chongqing Rail Transit (Group) Co., Ltd., Chongqing 401120, China
4
Chongqing Yapai Bridge Engineering Quality Inspection Co., Ltd., Chongqing 401120, China
*
Author to whom correspondence should be addressed.
Materials 2019, 12(7), 1167; https://doi.org/10.3390/ma12071167
Received: 8 March 2019 / Revised: 6 April 2019 / Accepted: 8 April 2019 / Published: 10 April 2019
(This article belongs to the Special Issue Sustainability in Construction and Building Materials)
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. View Full-Text
Keywords: metal magnetic memory; steel bar; internal tensile force detection; elastic stage; yielding stage metal magnetic memory; steel bar; internal tensile force detection; elastic stage; yielding stage
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MDPI and ACS Style

Pang, C.; Zhou, J.; Zhao, R.; Ma, H.; Zhou, Y. Research on Internal Force Detection Method of Steel Bar in Elastic and Yielding Stage Based on Metal Magnetic Memory. Materials 2019, 12, 1167.

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