Identification of Abnormal Attribute for Observed Stress in Foundation Pile Based on Wavelets

Li Xiaoyan; Ruan Huaining; Chen Zhijian

doi:10.3969/j.issn.1007-2993.2009.06.006

Volume 23 Issue 6

Jul. 2021

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Li Xiaoyan, Ruan Huaining, Chen Zhijian. Identification of Abnormal Attribute for Observed Stress in Foundation Pile Based on Wavelets[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2009, 23(6): 292-295. doi: 10.3969/j.issn.1007-2993.2009.06.006

Citation:

Li Xiaoyan, Ruan Huaining, Chen Zhijian. Identification of Abnormal Attribute for Observed Stress in Foundation Pile Based on Wavelets[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2009, 23(6): 292-295. doi: 10.3969/j.issn.1007-2993.2009.06.006

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Identification of Abnormal Attribute for Observed Stress in Foundation Pile Based on Wavelets

doi: 10.3969/j.issn.1007-2993.2009.06.006

1. College of Earth Science & Engineering, Hohai University, Nanjing, 210098, Jiangsu, China;
2. Research Institute of Geotechnical Engineering, Hohai University, Nanjing, 210098, Jiangsu, China

Received Date: 2009-08-06

Abstract

Abstract

Wavelet has good localization characteristic in time and frequency domain. Strangeness index of data serial can be calculated simply and conveniently with wavelet to detect stochastic jump value. The detected method is correct and effectual by validating test data. Abnormity attribute can be identified automatically, according to distribution rules of jump value of multi-sensors. It states that identification of abnormality attribute based on wavelet analysis is a novel and valid method.
- abnormality attribute,
- stress monitoring,
- strangeness index