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有机防腐膜层测试技术研究进展 被引量:1
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作者 闫建忠 梁成浩 赵志强 《表面技术》 EI CAS CSCD 1998年第2期30-32,45,共4页
概述了加速试验,电化学试验方法及现代表面物理测试技术在有机防腐膜层性能测试上的应用.归纳了加速试验方法存在的缺陷,通过实例说明了电化学试验方法和现代表面物理技术的优点,展望了测试技术的发展趋势.
关键词 电化学 表面物理测试 有机防腐涂膜 膜层
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Early warning model for slope debris flow initiation 被引量:4
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作者 LI Ming-li JIANG Yuan-jun +3 位作者 YANG Tao HUANG Qiang-bing QIAO Jian-ping YANG Zong-ji 《Journal of Mountain Science》 SCIE CSCD 2018年第6期1342-1353,共12页
Early warning model of debris flow is important for providing local residents with reliable and accurate warning information to escape from debris flow hazards. This research studied the debris flow initiation in the ... Early warning model of debris flow is important for providing local residents with reliable and accurate warning information to escape from debris flow hazards. This research studied the debris flow initiation in the Yindongzi gully in Dujiangyan City, Sichuan province, China with scaled-down model experiments. We set rainfall intensity and slope angle as dominating parameters and carried out 20 scaled-down model tests under artificial rainfall conditions. The experiments set four slope angles(32°, 34°, 37°, 42°) and five rainfall intensities(60 mm/h, 90 mm/h, 120 mm/h, 150 mm/h, and 180 mm/h) treatments. The characteristic variables in the experiments, such as, rainfall duration, pore water pressure, moisture content, surface inclination, and volume were monitored. The experimental results revealed the failure mode of loose slope material and the process of slope debris flow initiation, as well as the relationship between the surface deformation and the physical parameters of experimental model. A traditional rainfall intensity-duration early warning model(I-D model) was firstly established by using a mathematical regression analysis, and it was then improved into ISD model and ISM model(Here, I is rainfall Intensity, S is Slope angle, D is rainfall Duration, and M is Moisture content). The warning model can provide reliable early warning of slope debris flow initiation. 展开更多
关键词 Slope debris flow Artificial rainfallmodel Early warning model Model experiment
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