58 Papers
27 Citations
Ying Chen is an academic researcher from Central South University Forestry and Technology. The author has contributed to research in topics: Sulfate & Compressive strength. The author has an hindex of 8, co-authored 40 publications. Previous affiliations of Ying Chen include Central South University.
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Papers
Accelerated simulation of chloride ingress into concrete under drying–wetting alternation condition chloride environment
TL;DR: In this article, the authors proposed a chloride diffusion coefficient model coupled with environmental factors is proposed to describe chloride ingress into concrete, and the S curve model is also presented to fit the error function.
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Effects of Environmental Factors on Concrete Carbonation Depth and Compressive Strength.
Ying Chen,Peng Liu,Zhiwu Yu +2 more
TL;DR: The result of crystal structure analysis indicates that the carbonation products are mainly polyhedral spherical vaterite and aragonite, and there is a linear relationship between temperature and carbonation depth, as well as the compressive strength of concrete.
Effect of physical and chemical sulfate attack on performance degradation of concrete under different conditions
TL;DR: In this paper, the effects of erosion form, erosion age and sulfate solution concentration on compressive strength, micro structure and erosion products of concrete were investigated by XRD, FTIR, DTA-TG, ESEM-EDS and MIP.
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Carbonation depth model and carbonated acceleration rate of concrete under different environment
TL;DR: In this paper, the effect of temperature, relative humidity and CO2 concentration on carbonation depth of concrete were investigated, and the variation laws of concrete carbonation depths under coupling effects of environment factors were also studied.
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Predictive convection zone depth of chloride in concrete under chloride environment
TL;DR: In this article, an artificial simulation environment and field tests were carried out to validate and calibrate the rationality of the chloride convection zone depth model, and the distribution model of surface chloride concentration in concrete was determined by exploring the correlations among chloride concentration, elevation, time and linear distance from seaside.
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