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- 저자 : Enxi Qiu (검색결과 2 건)
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Experimental Study of the Salt Transfer in a Cold Sodium Sulfate Soil
Xusheng Wan,Fumao Gong,Mengfei Qu,Enxi Qiu,Changmao Zhong 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.4
Salt migration and accumulation are the main sources of salt expansion. To study the role of salt transport in soil, laboratory tests were conducted to simulate salt transfer under real conditions. Temperature, water content, salt content and soil displacement of a sodium sulfate soil were measured during the freezing process/freeze-thaw cycles. Meanwhile, Salt concentration was regressed bases on test data to investigate the movement of salt diffusion, in the process, the Pitzer ion model was employed to calculate the freezing point of saline soils to determine the frozen depth. Moreover, the amount of crystallization was estimated by the saturation curve of a sodium sulfate solution and the detected salt content. The results show that salt transfer in soil occurs as a result of numerous physicochemical processes and that the maximum salt transport occurred in the frozen fringe zone in the soil. Salt crystallization increases the effect of salt transfer in the soil unidirectional freezing process. In addition, salt expansion had an accumulative effect, and it increases as the number of freeze-thaw cycles increases. The quantity of salt that is transported increases as the salt content increases.
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Mengfei Qu,Yu Bai,Qijun Hu,Leping He,Enxi Qiu,Xusheng Wan 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.11
The measurement of the saturated internal friction angle of landslide sliding zone soils during the geological investigation could assist in engineering design, as it is a crucial parameter for landslide control. This research developed a comprehensive method to predict the saturated internal friction angle based on the support vector machine (SVM), after investigating the relationship between the saturated internal friction angle and the factors that affect the saturated internal friction angle. The procedure mainly consists of exploratory data analysis, influencing factors analysis, and prediction model set-up. Among the 18 factors, the evolution stage, gravel content, plasticity index, and dry unit weight were the most relevant factors predicting the saturated internal friction angle. The proposed method was illustrated and verified by a model accuracy test with the mean absolute error of the radial basis functions (RBF) kernel function was 0.90°, and the mean relative error was 8.77%. Therefore, this method could provide a reliable saturated internal friction angle in assisting engineers during landslide control.
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