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基于应力波的锚杆锚固质量无损检测研究进展.
- Source :
-
Science Technology & Engineering . 2023, Vol. 23 Issue 14, p5840-5852. 13p. - Publication Year :
- 2023
-
Abstract
- Due to the construction technology, material characteristics, long-term coupling of environment and load, and other factors, quality defects produced in rock bolts, posed a potential threat to the safety of public infrastructure. Non-destructive testing for rock bolt structure in-service is an important part of anchoring quality evaluation and reinforcement. The stress wave method has strong adaptability and rapid development, which is the main method for non-destructive testing technology of bolt anchorage quality. The research state-of-the-art of non-destructive testing from the aspects of the theory of anchoring bolt quality detection based on stress wave, model test, stress wave excitation and reception, signal processing and analysis, and numerical simulation were systematically reviewed. The results show that the research on non-destructive testing technology of bolt anchorage quality in China is relatively late, but developed rapidly. The existing non-destructive testing technology for bolt anchorage quality is relatively mature, which can realize the detection of the length and grouting compactness of grouted bolts. However, it still has shortcomings, which limit the detection accuracy and detection length of the bolt. The non-destructive testing method for the service state of old bolts has yet rarely been reported, and further research is still needed. Finally, the future potential development direction has been prospected combined with the future development trend. In the follow-up study, the existing theory should be further improved and perfected, and the non-destructive testing technology and equipment should be developed and upgraded to expand the application scope of non-destructive testing technology for bolt anchorage quality. At the same time, the intelligent evaluation system for the bolt service state based on non-destructive testing technology should be constructed and the remaining service life prediction method needs to be proposed. [ABSTRACT FROM AUTHOR]
Details
- Language :
- Chinese
- ISSN :
- 16711815
- Volume :
- 23
- Issue :
- 14
- Database :
- Academic Search Index
- Journal :
- Science Technology & Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 164234672