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RISS 인기검색어
- 검색키워드
- 저자 : Xiaoli Rong (검색결과 3 건)
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A displacement solution for circular openings in an elastic-brittle-plastic rock
Huang, Houxu,Li, Jie,Rong, Xiaoli,Hao, Yiqing,Dong, Xin Techno-Press 2017 Geomechanics & engineering Vol.13 No.3
The localized shear and the slip lines are easily observed in elastic-brittle-plastic rock. After yielding, the strength of the brittle rock suddenly drops from the peak value to the residual value, and there are slip lines which divide the macro rock into numbers of elements. There are slippages of elements along the slip lines and the displacement field in the plastic region is discontinuous. With some restraints, the discontinuities can be described by the combination of two smooth functions, one is for the meaning of averaging the original function, and the other is for characterizing the breaks of the original function. The slip lines around the circular opening in the plastic region of an isotropic H-B rock which subjected to a hydrostatic in situ stress can be described by the logarithmic spirals. After failure, the deformation mechanism of the plastic region is mainly attributed to the slippage, and a slippage parameter is introduced. A new analytical solution is presented for the plane strain analysis of displacements around circular openings. The displacements obtained by using the new solution are found to be well coincide with the exact solutions from the published sources.
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The Dust Deposition Process and Biogeochemical Impacts in the Northern South China Sea
Du Shuhuan,Ariful Islam G. M.,Xiang Rong,Yang Xiaoli 한국기상학회 2021 Asia-Pacific Journal of Atmospheric Sciences Vol.57 No.1
Modern dust plays essential roles in marine sediments, providing nutrient and crucial elements for primary productivity and aquatic ecosystems. However, present marine atmospheric dust observational evidence concerning the biogeochemical response to dust deposition process is spared for a long time. Here a total of 147 aerosols samples were collected near the northern South China Sea (SCS) coast between 13 February, 2016, and 12 February, 2017, have been investigated for the grain size distribution, depositional flux, ten-day back trajectories, clusters analysis, combining with primary productivity (Chlorophyll-a concentration) to indicate the present-day dust deposition process and biogeochemical impacts in the northern SCS on the first time. Our results illustrate the deposition flux and grain size distribution change in different season, grain size distribution in winter are coarser particles than that in the summer, while the maximum and minimum dry deposition flux are 12 December, 2016, (60.4 mg m−2 d−1) and 26 August, 2016, (5 mg m−2 d−1), respective. In addition, the back trajectories and three clusters analyze results indicating 53% of air masses originating locally near the coastal areas of China from the marine boundary layer (0–0.5 km) in the summer monsoon, while 48% dust from the northeast wind is prevailing during the winter monsoon over a relatively higher level (0–1.5 km). Furthermore, an apparent Chl-a blooming after aeolian dust input with a period of 1–2 days in the SCS. Therefore, atmospheric dust contains readily bioavailable iron and enhance the biogeochemical impact in the oligotrophic SCS.
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Zhu Wen,Zhen Wang,Xuening Rong,Xiaoli Rong,Ziming Xiong,Baohuai Yang 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.12
The ground loss caused by earth pressure balance (EPB) shield tunneling is a serious threat to the safety of ground and underground buildings. The amount of soil discharged is a direct factor causing the ground loss, but the feedback of the amount of soil discharged has the problems of human subjectivity and information lag. Based on the theory of soil discharged and shield construction data, a data model for predicting the amount of soil discharged is constructed, and a predictive method of soil discharged based on adaptive adjustment strategy and parameters to achieve optimal regression is proposed. Taking Changzhou shield tunnel construction project as an example, through comparative analysis, the main influencing factors of soil discharge data model are screw-conveyor torque, screw-conveyor revolutions, total thrust, screw-conveyor entrance earth pressure, the revised standard penetration test blow-count, and compression modulus. The results show that the mean absolute error (MAE) of the model is 0.911 m3, and the mean absolute percentage error (MAPE) is 2.78%, which verifies the effectiveness of the prediction of soil discharged by feature engineering.
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