衬砌结构异形富水微裂缝模型试验与量化识别
Models test and quantitative identification of abnormal water-rich microcracks in lining structure
娄玉鹏 1凌同华 1何文超 1潘雪纯1
作者信息
- 1. 长沙理工大学 土木工程学院,湖南 长沙 410114
- 折叠
摘要
为探讨准确识别隧道衬砌结构中异形富水微裂缝的方法,用探地雷达和F-K偏移法针对4种异形富水微裂缝模型进行检测试验及对雷达检测的特征信号进行偏移归位,再用波形分析法和小波变换模极大值法对裂缝模型的位置和形态进行识别.研究结果表明:异形富水微裂缝模型的雷达响应图像很难被直接识别,通过F-K偏移归位处理后,可识别裂缝模型的形态.小波变换模极大值法比波形分析法能更精确地实现异形富水微裂缝模型的量化识别;微裂缝模型的二维轮廓重构图能够较好地拟合实体模型的形状.该结果可为隧道衬砌结构异形富水微裂缝的识别提供借鉴.
Abstract
To investigate the identification of special-shaped water-rich micro-cracks in tunnel lining structures,ground-penetrating radar(GPR)was used to detect the water-filling models of four special-shaped micro-cracks.The F-K migration method was applied to offset and locate the radar characteristic signals of micro-cracks,with crack locations identified through waveform analysis and the wavelet modulus maximum algorithm.The results indicate that the radar response images of irregular micro-cracks are difficult to identify directly,while their morphology can be highlighted by the F-K migration method.Compared to waveform analysis,the wavelet modulus maximum algorithm provides more accurate positioning and identification of irregular micro-cracks.The two-dimensional contour reconstruction of the micro-fracture models fits the shape of the solid models.The research results provide a foundational basis for the identifying abnormal water-rich micro-cracks in tunnel lining structures.
关键词
探地雷达/盾构隧道/异形富水微裂缝/小波变换模极大值法/定位识别Key words
ground-penetrating radar/shield tunnel/special-shaped water-rich micro-crack/wavelet modulus maximum algorithm/location recognition引用本文复制引用
出版年
2024
NETL
NSTL
万方数据