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2 2023

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Study on the effect of dynamic flexural load on the electrical resistivity of concrete

Zhu Huasheng, Zeng Xiaohui, Lan Xuli, Yang Jiangfan, Long Guangcheng, Xie Youjun

Archives of Civil and Mechanical Engineering

2023

Vol. 23, no. 3

art. no. e176, 2023

The electrical resistivity is an important property for the structure concrete of metro track. In this work, the effect of dynamic flexural load on the electrical resistivity of concrete was investigated. Results show that the electrical resistivity of concrete first rapidly decreased and then slowly decreased with loading cycles; The higher the stress level and loading frequency, the greater the attenuation of concrete resistivity, the maximum value reached 33%. Acoustic emission test showed that the electrical resistivity is related to the damage of concrete. According to the theory of concrete fatigue damage, a new model was proposed to characterize the relationship between the dynamic damage of concrete and the electrical resistivity, R2 > 0.98. This work provides insight into development of the theory of electrical conductivity in concrete, and novel strategy for the dynamic damage monitoring of concrete.

Creep model of cement and asphalt (CA) mortar based on micro‑meso structure

Zhu Huasheng, Zeng Xiaohui, Lan Xuli, Long Guangcheng, Xie Youjun

Archives of Civil and Mechanical Engineering

2023

Vol. 23, no. 1

art. no. e10, 2023

CA mortar, as a filling layer, has been widely used in slab ballastless track. Since the creep deformation directly determines the track regularity and the train ride comfort, we investigated the effect of various stress levels on CA mortar creep. Results showed that the creep strain of CA mortar increased by 10 times when the stress level increased from 10%σp to 40%σp . Furthermore, it was first discovered that creep of CA mortar was attributed to the organic-inorganic interface slip and the propagation of microcracks. This work proposed a new CA mortar creep model based on the micro-meso structure characteristics, and its accuracy of prediction was much higher than previous models, R2 > 0.93.