机构

• 力学研究所 [1]
• 地质与地球物理研究所 [1]
• 长春光学精密机械与物... [1]
• 武汉岩土力学研究所 [1]
• 紫金山天文台 [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [4]
• 会议论文 [1]

发表日期

• 2019 [1]
• 2018 [2]
• 2016 [1]
• 2011 [1]

学科主题

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Experimental and numerical analyses on the effect of stiffness on bedded sandstone strain burst with varying dip angle 期刊论文  OAI收割 BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2019, 卷号: 78, 期号: 5, 页码: 3593-3610 作者:  He, Manchao;  Ren, Fuqiang;  Cheng, Cheng   |  收藏  |  浏览/下载：50/0  |  提交时间：2019/07/29 Strain burst  SR  Structural plane  Experimental tests  Numerical analysis  SED   Testing Photons Coupled to Weyl Tensor with Gravitational Time Advancement 期刊论文  OAI收割 COMMUNICATIONS IN THEORETICAL PHYSICS, 2018, 卷号: 70, 期号: 6, 页码: 721-727 作者:  Li, Gang;  Deng, Xue-Mei   |  收藏  |  浏览/下载：41/0  |  提交时间：2019/04/08 gravitation  experimental tests of gravitational theories  light propagation  astrometry   Influence of temperature on the hydro-mechanical behavior of Boom Clay 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2018, 卷号: 108, 期号: -, 页码: 189-197 作者:  Yu, Hongdan;  Chen, Weizhong;  Gong, Zhe;  Ma, Yongshang;  Chen, Guangjing   |  收藏  |  浏览/下载：27/0  |  提交时间：2020/04/08 Boom Clay  Experimental tests  Temperature effect  Shear strength  Cohesion  Elastic modulus  Pore pressure   爆轰驱动膨胀管性能研究 期刊论文  OAI收割 航空学报, 2016, 卷号: 37, 期号: 3, 页码: 810-816 作者:  周凯;  汪球;  胡宗民;  姜宗林 收藏  |  浏览/下载：34/0  |  提交时间：2016/12/16 hypervelocity  detonation-driven  expansion tube  performance study  experimental tests  numerical simulation   Study of the neural network constitutive models for turfy soil with different decomposition degree (EI CONFERENCE) 会议论文  OAI收割 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China 作者:  Nie L. 收藏  |  浏览/下载：20/0  |  提交时间：2013/03/25 The turfy soil is of a special humus soil. The decomposition degree is the main factor on the physical and mechanical properties of turfy soil. To build the turfy soil constitutive model  there are a few shortages such as the calculation cumbersome and low accuracy for parameter value with the method of traditional models. Furthermore  those methods did not reflect the influence of strength that effected by decomposition degree of the turfy soil. In this paper  the relationship of stress-strain with different decomposition degrees of turfy soil was carried out through indoor tests. Based on above experimental results  an improved method  which divided into different zones according to different decomposition degrees of turfy soil and calculated combining with neural network constitutive model is put forward. The result shows that  the neural network of turfy soil has good fitting precision and good generalization ability. It can fully describe the influence of the turfy soil. 2011 IEEE.