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最新发表论文 (Canadian Geotechnical Journal)

通讯员:      发布日期:2020-04-15     浏览量:

论文题目:Dyadic wavelet analysis of bender element signals in determining shear wave velocity

作者:Guan Chen (陈冠), Fang-Tong Wang (王方同), Dian-Qing Li (李典庆), Yong Liu (刘勇)

杂志:Canadian Geotechnical Journal

DOI: 10.1139/cgj-2019-0167

APA引用格式:Chen G., Wang F. T., Li D. Q. & Liu Y. (2020). Dyadic wavelet analysis of bender element signals in determining shear wave velocity. Canadian Geotechnical Journal, (ja). DOI: 10.1139/cgj-2019-0167.

摘要:

Determining the shear wave velocity is a critical technique in bender element tests, as it can be readily affected by the near-field effects, wave reflection, and other factors easily. This study proposed a new method based on the dyadic wavelet transform modulus maxima. Combined the local modulus maxima of dyadic wavelet transform approximate coefficients at fine decomposition levels and an appropriate threshold value, the proposed method can automatically detect the target point. For validation, a comparative study among the dyadic wavelet transform modulus maxima, peak-to-peak, first arrival, and cross-correlation methods were carried out using 140 sets of bender element signals. The comparison results show that the proposed method not only mitigates the adverse effects of near-field, later major peaks and noise contamination, but also being more robust in estimating shear wave velocity.