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基于大数据的博士学位攻读年限监测预警分析 被引量:7
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作者 李珍艳 陆根书 +1 位作者 高玉建 向体燕 《研究生教育研究》 CSSCI 北大核心 2020年第5期15-23,共9页
基于2008-2017学年全国高校博士研究生学位授予大数据,分析不同学位类别、攻读类型、学科背景的博士研究生攻读学位年限基本特征和总体分布情况。采用离群监测方法,构建基于博士研究生学位平均攻读年限的学位授权点监测预警模型,筛选学... 基于2008-2017学年全国高校博士研究生学位授予大数据,分析不同学位类别、攻读类型、学科背景的博士研究生攻读学位年限基本特征和总体分布情况。采用离群监测方法,构建基于博士研究生学位平均攻读年限的学位授权点监测预警模型,筛选学位攻读年限处于异常状态的学位授权点进行监测预警,为不同学位授权点对比分析博士生培养质量和培养效率情况,以及博士研究生培养周期监测预警提供参考依据。研究表明,近10年来,我国博士研究生学位攻读年限中位数均为3.75年。通过离群监测进入预警名单的学科点数占学科总数的比例最高的是非双一流建设高校,其次为一流学科建设高校,最低的是一流大学建设高校,且非一流学科的预警学科点数占学科总数的比例高于一流学科的占比。据此提出了进一步提高博士研究生培养质量、优化博士研究生攻读学位平均年限、提高人才培养效率的政策建议。 展开更多
关键词 博士学位 攻读年限 离群监测 监测预警模型 培养质量
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Mechanical response and stability analysis of rock mass in high geostress underground powerhouse caverns subjected to excavation 被引量:20
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作者 LI Biao DING Quan-fu +4 位作者 XU Nu-wen LEI Yi-fan XU Yuan ZHU Zhong-ping LIU Jing-fei 《Journal of Central South University》 SCIE EI CAS CSCD 2020年第10期2971-2984,共14页
To investigate the stability of rock mass in high geostress underground powerhouse caverns subjected to excavation,a microseismic(MS)monitoring system was established and the discrete element method(DEM)-based numeric... To investigate the stability of rock mass in high geostress underground powerhouse caverns subjected to excavation,a microseismic(MS)monitoring system was established and the discrete element method(DEM)-based numerical simulation was carried out.The tempo-spatial damage characteristics of rock mass were analyzed.The evolution laws of MS source parameters during the formation of a rock collapse controlled by high geostress and geological structure were investigated.Additionally,a three-dimensional DEM model of the underground powerhouse caverns was built to reveal the deformation characteristics of rock mass.The results indicated that the MS events induced by excavation of high geostress underground powerhouse caverns occurred frequently.The large-stake crown of the main powerhouse was the main damage area.Prior to the rock collapse,the MS event count and accumulated energy release increased rapidly,while the apparent stress sharply increased and then decreased.The amount and proportion of shear and mixed MS events remarkably increased.The maximum displacement was generally located near the spandrel areas.The MS monitoring data and numerical simulation were in good agreement,which can provide significant references for damage evaluation and disaster forecasting in high geostress underground powerhouse caverns. 展开更多
关键词 high geostress underground powerhouse caverns microseismic monitoring discrete element modelling stability analysis
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