中国科学院机构知识库网格系统: 检索

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	In situ test of excavation damaged zone of columnar jointed rock masses under different borehole conditions 期刊论文 OAI收割 BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2021, 页码: 17 作者: Sun, Qiancheng; Li, Shaojun; Guo, Haosen; Zheng, Minzong; Yang, Zhiyue \| 收藏 \| 浏览/下载：36/0 \| 提交时间：2021/05/25 Different borehole conditions Excavation damaged zones (EDZ) Highly damaged zones (HDZ) Digital borehole televiewer Acoustic wave testing
	Phased Array Detection Parameters for Electron Beam Welds in CFETR Vacuum Vessel Port Stubs 期刊论文 OAI收割 IEEE TRANSACTIONS ON PLASMA SCIENCE, 2020, 卷号: 48 作者: Fu, Yunpeng; Wu, Jiefeng; Liu, Zhihong; Wang, Rui; Jiang, Beiyan \| 收藏 \| 浏览/下载：36/0 \| 提交时间：2020/11/26 Acoustic field simulation China Fusion Engineering Testing Reactor (CFETR) electron beam welding (EBW) phased array ultrasonic testing (PAUT)
	Characteristics of the microseismicity resulting from the construction of a deeply-buried shaft 期刊论文 OAI收割 TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2019, 卷号: 85, 期号: -, 页码: 114-127 作者: Hu, Lei; Feng, Xia-Ting; Xiao, Ya-Xun; Feng, Guang-Liang; Li, Shao-Jun \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2020/04/08 High geo-stress Deeply-buried shaft Microseismic monitoring Acoustic velocity testing EPCA(3D) China Jinping Underground Laboratory
	Comprehensive evaluation of excavation-damaged zones in the deep underground caverns of the Houziyan hydropower station, Southwest China 期刊论文 OAI收割 BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2017, 卷号: 76, 期号: 1, 页码: 275-293 作者: Xu, Nuwen; Dai, Feng; Li, Biao; Zhu, Yongguo; Zhao, Tao \| 收藏 \| 浏览/下载：52/0 \| 提交时间：2018/06/05 Excavation-damaged zone Underground powerhouse Microseismic monitoring Acoustic wave testing Borehole TV Multi-point extensometer
	Application of acoustic emission, anisotropy of acoustic velocity and palaeomagnetie technology to determine in-situ stress in tight sands 会议论文 OAI收割 Jeju, Korea, Republic of, May 10, 2017 - May 13, 2017 作者: Shi X; Yang L(杨柳); Han QR \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2018/11/08 Acoustic emission testing Acoustic wave velocity Acoustic wave velocity measurement Anisotropy Core drilling Core samples Hydraulic fracturing Infill drilling Magnetization Rock mechanics Rocks Sand consolidation Stress measurement Stresses Acoustic velocity methods Confining pressures Geographic orientations In situ stress measurement Kaiser effect Non destructive testing Ordos basin , China Remanent magnetization
	Study on Mechanics Parameters of Unloaded Rock Mass about the Underground Powerhouse of Jin-ping Hydroelectric Station 会议论文 OAI收割 International Conference on Civil Engineering, Baoding, PEOPLES R CHINA, 2010-07-19 作者: Fan YB(范永波); Fan YB(范永波) 收藏 \| 浏览/下载：21/0 \| 提交时间：2011/04/15 mechanical parameters of rock mass acoustic testing high geostress Jingping underground cavern
	Effect of intermediate principal stress on mechanics characteristic of brittle rock material under true triaxial unloading testing 会议论文 OAI收割 Huangshan, PEOPLES R CHINA, JUN 03-08, 2008 作者: Chen, B. R.; Feng, X. T.; Xiang, T. B.; Zhou, H. \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2018/06/05 true triaxial testing unloading testing medium principal stress acoustic emission
	AE signal processing and DSP implementation based on wavelet packet analysis (EI CONFERENCE) 会议论文 OAI收割 ICMIT 2005: Information Systems and Signal Processing, September 20, 2005 - September 23, 2005, Changchun, China 作者: Zhao J.; Wang K. 收藏 \| 浏览/下载：13/0 \| 提交时间：2013/03/25 To improve the accuracy of AE (Acoustic Emission) testing the wavelet packet analysis was introduced to process the AE signals. Extraction of the fault characteristic information would be influenced greatly if the faulted AE signal was not effectively denoised. Based on discussing the fast searching algorithm of BWPB (Best Wavelet Packet Basis) adopting Shannon entropy a new method based on BWPB was presented to denoise the AE signal from the faulted composite plate. Analyzing was performed on the denoised signal and the fault characteristic information was exacted. To improve the real-time performance of the wavelet packet analysis algorithm it was performed on the DSP (Digital Signal Processing) chip TMS320VC5409. The experimental results show that the algorithm can not only reduce the noise by 10dB but also effectively extract the faulted characteristics information from the AE signal.