Abstract
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.
Highlights
There is a similar coefficient of linear expansion between steel bars and concrete, and the bonding performance between them is good
On the basis of the self-magnetic flux leakage (SMFL) signal variation law of bare steel bars that was studied before [41], in this paper, the specimens of steel bars covered by concrete (SBCC) with different concrete strengths and different steel bar diameters are used as test pieces
A bare steel bar length of 100 mm is reserved at both ends of the specimen so that the electronic universal testing machine (EUTM) can hold the force during the static loading process
Summary
There is a similar coefficient of linear expansion between steel bars and concrete, and the bonding performance between them is good. The alkaline environment of concrete can prevent the corrosion of steel bars to a certain extent. The application of reinforced concrete in building structures is common [1,2]. In reinforced concrete bridge structures, the stress of steel bars has always been a key indicator in bridge health and safety monitoring [4]. To determine how to carry out non-destructive detection of the stress of steel bars inside the concrete in a more accurate and convenient way, scholars all over the world have carried out a lot of researches
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