机构

• 力学研究所 [22]
• 云南天文台 [11]
• 金属研究所 [4]
• 合肥物质科学研究院 [4]
• 地质与地球物理研究所 [3]
• 武汉岩土力学研究所 [3]
• 更多

采集方式

• OAI收割 [64]

内容类型

• 期刊论文 [64]

发表日期

• 2022 [64]

学科主题

• 天文学 [11]
• 天文学::太阳与太阳... [7]
• 天文学::太阳与太阳... [7]
• Mechanics [3]
• Acoustics [2]
• Engineerin... [2]
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筛选

浏览/检索结果: 共64条，第1-10条 帮助 限定条件 发表日期：2022     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Numerical study on the multi-stage blasting in horizontal well to enhance the permeability of deep reservoir 期刊论文  OAI收割 GEOMATICS NATURAL HAZARDS & RISK, 2022, 卷号: 13, 期号: 1, 页码: 1299 作者:  Yuan Wei;  Hu Huihua;  Wang Anli;  Xu Jiang;  Wang Wei   |  收藏  |  浏览/下载：5/0  |  提交时间：2023/08/02 Blasting fracturing  horizontal well  blasting-enhanced permeability  shock wave  uranium resource   A unified stochastic particle method based on the Bhatnagar-Gross-Krook model for polyatomic gases and its combination with DSMC 期刊论文  OAI收割 JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 471, 页码: 21 作者:  Fei,Fei;  Hu Y(胡远);  Jenny,Patrick   |  收藏  |  浏览/下载：27/0  |  提交时间：2022/11/21 Stochastic particle method  BGK model  DSMC  Polyatomic gas  Multiscale flows   Phase-field study on the formation of a variant clusters induced by elastoplastic stress field around the void in titanium alloys 期刊论文  OAI收割 COMPUTATIONAL MATERIALS SCIENCE, 2022, 卷号: 215, 页码: 11 作者:  Zhang, Jinhu;  Guo, Hui;  Xu, Haisheng;  Xu, Dongsheng;  Yang, Rui   |  收藏  |  浏览/下载：4/0  |  提交时间：2023/05/09 Phase-field method  Void  Elastoplastic stress field  Phase transformation  Variant cluster   Phase-field study on the formation of a variant clusters induced by elastoplastic stress field around the void in titanium alloys 期刊论文  OAI收割 COMPUTATIONAL MATERIALS SCIENCE, 2022, 卷号: 215, 页码: 11 作者:  Zhang, Jinhu;  Guo, Hui;  Xu, Haisheng;  Xu, Dongsheng;  Yang, Rui   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/05/09 Phase-field method  Void  Elastoplastic stress field  Phase transformation  Variant cluster   LHAASO J2226+6057 as a pulsar wind nebula 期刊论文  OAI收割 Astronomy and Astrophysics, 2022, 卷号: 668 作者:  De Sarkar, Agnibha;  Zhang, Wei;  Martín, Jonatan;  Torres, Diego F.;  Li, Jian   |  收藏  |  浏览/下载：37/0  |  提交时间：2023/01/16 radiation mechanisms: non thermal  pulsars: general  gamma rays: general   Numerical Modeling of Energetic Electron Acceleration, Transport, and Emission in Solar Flares: Connecting Loop-top and Footpoint Hard X-Ray Sources 期刊论文  OAI收割 ASTROPHYSICAL JOURNAL LETTERS, 2022, 卷号: 941, 期号: 2 作者:  Kong, Xiangliang;  Chen, Bin;  Guo, Fan;  Shen, Chengcai;  Li, Xiaocan   |  收藏  |  浏览/下载：23/0  |  提交时间：2023/01/13 Modeling of projectile penetrating fiber-reinforced concrete via the continuum discontinuum element method 期刊论文  OAI收割 ENGINEERING FRACTURE MECHANICS, 2022, 卷号: 276, 页码: 17 作者:  Sun, Bowen;  Han, Fei;  Feng C(冯春);  Mei, Yong;  Sun, Yunhou   |  收藏  |  浏览/下载：16/0  |  提交时间：2023/02/03 CDEM  Fiber-reinforced concrete  Penetration  Crack width  Weibull distribution   Analyzing roadway work zone effects on vehicular flow in a freeway ring 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2022 作者:  Huang, Zhongmin;  Smirnova, M. N.;  Bi, Jiarui;  Smirnov, N. N.;  Zhu, Zuojin   |  收藏  |  浏览/下载：20/0  |  提交时间：2022/12/23 Roadway work zone  lane changing time  random number model  threshold of traffic shock formation   Prediction about residual stress and microhardness of material subjected to multiple overlap laser shock processing using artificial neural network 期刊论文  OAI收割 JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2022, 页码: 15 作者:  Wu Jia-jun;  Huang Zheng;  Qiao Hong-chao;  Wei Bo-xin;  Zhao Yong-jie   |  收藏  |  浏览/下载：9/0  |  提交时间：2023/05/09 laser shock processing  residual stress  microhardness  artificial neural network   Prediction about residual stress and microhardness of material subjected to multiple overlap laser shock processing using artificial neural network 期刊论文  OAI收割 JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2022, 页码: 15 作者:  Wu Jia-jun;  Huang Zheng;  Qiao Hong-chao;  Wei Bo-xin;  Zhao Yong-jie   |  收藏  |  浏览/下载：10/0  |  提交时间：2023/05/09 laser shock processing  residual stress  microhardness  artificial neural network