Cone penetration test (CPT)-based stratigraphic profiling using the wavelet transform modulus maxima method

被引:60
作者
Ching, Jianye [1 ]
Wang, Jiun-Shiang [1 ]
Juang, C. Hsein [2 ]
Ku, Chih-Sheng [3 ]
机构
[1] Natl Taiwan Univ, Dept Civil Engn, Taipei 10764, Taiwan
[2] Clemson Univ, Glenn Dept Civil Engn, Clemson, SC 29631 USA
[3] I Shou Univ, Dept Civil Engn, Kaohsiung, Taiwan
关键词
site investigation; underground stratification; cone penetration test (CPT); soil behavior type; wavelet transform; SOIL CLASSIFICATION; PIEZOCONE DATA; IDENTIFICATION;
D O I
10.1139/cgj-2015-0027
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
In this paper, a stratigraphic profiling approach is proposed based on the soil behavior type index, I-c, obtained from the cone penetration test (CPT). The basic idea of this approach is simple: the layer boundaries can be identified as the points at which a change occurs in the I-c profile. It is shown that these change points can be easily identified using the wavelet transform modulus maxima (WTMM) method. This method is able to accurately pinpoint the locations of change points in the I-c profile and to produce graphs and plots that fit well with engineers' methods of visualization and intuition. Moreover, by virtue of the fast Fourier transform, the computation is very fast. Case studies show that the WTMM method is effective for the detection of change points in the I-c profile. It is also capable of detecting thin soil layers.
引用
收藏
页码:1993 / 2007
页数:15
相关论文
共 23 条
[1]   Thin-layer effects on the CPT qc measurement [J].
Ahmadi, MM ;
Robertson, PK .
CANADIAN GEOTECHNICAL JOURNAL, 2005, 42 (05) :1302-1317
[2]  
[Anonymous], 1999, WAVELET TOUR SIGNAL
[3]  
Been K., 1992, Proc. of the Wroth memorial symposium, P121
[4]  
Briaud J.-L., 2000, Geotechnical Special Publication, V93, P26
[5]   Bayesian Approach for Probabilistic Site Characterization Using Cone Penetration Tests [J].
Cao, Zijun ;
Wang, Yu .
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING, 2013, 139 (02) :267-276
[6]   Utilization of self-organizing map and fuzzy clustering for site characterization using piezocone data [J].
Das, Sarat Kumar ;
Basudhar, Prabir Kumar .
COMPUTERS AND GEOTECHNICS, 2009, 36 (1-2) :241-248
[7]  
Facciorusso J., 2004, P 2 INT C GEOT SIT C
[8]   Objective site characterization using clustering of piezocone data [J].
Hegazy, YA ;
Mayne, PW .
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING, 2002, 128 (12) :986-996
[9]  
Idriss I. M., 2008, MONOGRAPH EARTHQUAKE, VMNO-12
[10]  
Jaffard S., 1991, Publicacions Matematiques, V35, P155, DOI DOI 10.5565/PUBLMAT_35191_06