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3篇 您的检索式:作者名="Chunwei Ling"
    题名 作者 年代 出处 被引量
1N-1 -(2-Mercaptoethyl)thymine modification of gold nanoparticles : a hi^ily selective andsensitive colorimetric chemosensor for Hg2+ 显示文摘Ling Chen Tingting Lou Chunwei Yu 2011Analyst2011,,136:1
2Numerical Simulation of Flow between Rotating Cylinders显示文摘IntroductionFlowbetweenrotatingcylinderswithsmalh/R(histhegapbetweencylindersandRistheinnercylinderradius)hasbeenwidelystudie...Chunwei YU and Guocan LING (LNM, Institute of Mechanics, CAS, Beijing, 100080, China) 1998Communications in Nonlinear Science and Numerical Simulation1998,3,1:0
3Heat transfer and temperature evolution in underground mininginduced overburden fracture and ground fissures: Optimal time window of UAV infrared monitoring显示文摘Heat transfer and temperature evolution in overburden fracture and ground fissures are one of the essential topics for the identification of ground fissures via unmanned aerial vehicle(UAV) infrared imager. In this study, discrete element software UDEC was employed to investigate the overburden fracture field under different mining conditions. Multiphysics software COMSOL were employed to investigate heat transfer and temperature evolution of overburden fracture and ground fissures under the influence of mining condition, fissure depth, fissure width, and month alternation. The UAV infrared field measurements also provided a calibration for numerical simulation. The results showed that for ground fissures connected to underground goaf(Fissure Ⅰ), the temperature difference increased with larger mining height and shallow buried depth. In addition, Fissure Ⅰ located in the boundary of the goaf have a greater temperature difference and is easier to be identified than fissures located above the mining goaf. For ground fissures having no connection to underground goaf(Fissure Ⅱ), the heat transfer is affected by the internal resistance of the overlying strata fracture when the depth of Fissure Ⅱ is greater than10 m, the temperature of Fissure Ⅱ gradually equals to the ground temperature as the fissures’ depth increases, and the fissures are difficult to be identified. The identification effect is most obvious for fissures larger than 16 cm under the same depth. In spring and summer, UAV infrared identification of mining fissures should be carried out during nighttime. This study provides the basis for the optimal time and season for the UAV infrared identification of different types of mining ground fissures.Yixin Zhao Kangning Zhang Bo Sun Chunwei Ling Jihong Guo 2024International Journal of Mining Science and Technology2024,34,1:0
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