Microstructural insight into the deterioration mechanism of the mortar subject to the combined action of external sulfate attack and cyclic wetting–drying

2022 ◽  
Vol 317 ◽  
pp. 125484
Author(s):  
Rongwei Yang ◽  
Mingliang Zhang ◽  
Zhipeng Li ◽  
Fubo He
Materials ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 4920
Author(s):  
Zanqun Liu ◽  
Min Pei ◽  
Yuelin Li ◽  
Qiang Yuan

In this study, the sulfate attack on uncarbonated cement paste partially exposed to Na2SO4 solution was experimentally investigated and compared with that on carbonated specimens with the same exposure regime and uncarbonated specimens without exposure. N2 was used to protect specimens from carbonation throughout the sulfate exposure period. The effects of the water-to-cement (w/c) ratio and the fly ash as cement replacement on the sulfate attack were evaluated. Portland cement paste specimens with different w/c ratios of 0.35, 0.45, and 0.55 or fly ash replacement rates of 10%, 20%, and 30% were prepared. These specimens were partially immersed in 5% Na2SO4 solution for 50 d and 100 d exposure periods. The micro-analysis was conducted to evaluate the effect of the partial sulfate attack on the uncarbonated cement paste using X-ray diffraction (XRD) and thermo-gravimetric (TG) techniques. The results confirmed that, for uncarbonated cement paste, the chemical attack rather than the physical attack is the deterioration mechanism and is responsible for more severe damage in the evaporation zone (dry part) compared with the immersed zone (immersed part). When the effect of carbonation is well excluded, there is an optimal w/c ratio of 0.45 for minimizing the sulfate attack, while incorporating fly ash tends to reduce the sulfate attack resistance.


2020 ◽  
Author(s):  
Shuhui Guo

<p>In this paper, the process-based analytical derivation approach is applied to insight into the nonstationary of the probability distribution of annual runoff in humid and arid watersheds of China. The nonstationary of the runoff generation process in watersheds are captured by the hydrological inputs and model parameters of the process-based analytical derivation approach. The results indicate that climate change and human activities can impact the probability distribution of annual runoff in different ways, for the nonstationary analysis of humid watersheds, climate change leads to changes in hydrological inputs, and human activities leads to changes in model parameters, which leads to nonstationary of the probability distribution of annual runoff. For the nonstationary analysis of arid watersheds, climate change leads to changes in hydrological inputs, the combined action of human activities with climate change leads to changes in model parameters, which leads to nonstationary of the probability distribution of annual runoff.</p>


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