机构

• 武汉岩土力学研究所 [2]
• 长春光学精密机械与物... [1]
• 沈阳自动化研究所 [1]

采集方式

• OAI收割 [4]

内容类型

• 期刊论文 [3]
• 会议论文 [1]

发表日期

• 2025 [2]
• 2020 [1]
• 2005 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择发表日期升序发表日期降序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 Deformation Rate Effects in the Circumferential Strain-Controlled Post-Peak Loading Tests 期刊论文  OAI收割 ROCK MECHANICS AND ROCK ENGINEERING, 2025, 页码: 22 作者:  Cui, Guanghao;  Meng, Fanzhen;  Wang, Wei;  Liu, Pengyuan;  Wen, Yuantao   |  收藏  |  浏览/下载：14/0  |  提交时间：2025/06/27 Circumferential deforming rate  Brittle rock  Post-peak curve  Failure mode  Acoustic emission (AE) characteristics   Study of failure characteristics of cavern surrounding rock mass based on dynamic disturbance true triaxial modeling test 期刊论文  OAI收割 ENGINEERING FAILURE ANALYSIS, 2025, 卷号: 171, 页码: 23 作者:  Ye, Jinping;  Zhang, Chuanqing;  Zhang, Chunsheng;  Liu, Ning;  Zhang, Qiangqiang   |  收藏  |  浏览/下载：7/0  |  提交时间：2025/06/27 Combined action of dynamic and static load  True triaxial modeling test  Strain brick  Acoustic emission (AE)  Failure characteristics  High-sidewall cavern   A new acoustic emission on-line monitoring method of laser shock peening 期刊论文  OAI收割 Optik, 2020, 卷号: 205, 页码: 1-9 作者:  Wu JJ(吴嘉俊);  Zhao JB(赵吉宾);  Qiao HC(乔红超);  Sun BY(孙博宇);  Lu Y(陆莹)   |  收藏  |  浏览/下载：33/0  |  提交时间：2020/02/17 Laser shock peening  Acoustic emission  Propagation characteristics  Planar positioning  AE energy  On-line monitoring   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：21/0  |  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.