Signal Analysis On Soil Stress From Vibrating Compaction Based On Wavelet Transform

The paper presented the wavelet transform method for d e-noising and singularity detection to soil compressive stress signal. The study results show that the reconstruction signals by the wavelet de-noising keeps the low frequency component at [0, 31.25Hz] of the original signal and improves the hig...

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Bibliographic Details
Published in:Archives of civil engineering 2014-06, Vol.60 (2), p.257-268
Main Authors: Qing-Zhe, Zhang, Bing, Yan, Jing-Liang, Dai, Bao-Gui, Yang
Format: Article
Language:English
Subjects:
Compressive Stress Signal
De-Noising
Singularity Detection
Soil
Wavelet Transform
Online Access:Get full text
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Summary:The paper presented the wavelet transform method for d e-noising and singularity detection to soil compressive stress signal. The study results show that the reconstruction signals by the wavelet de-noising keeps the low frequency component at [0, 31.25Hz] of the original signal and improves the high frequency property at other frequency bands. The impaction time from the start time to resonance time of the stress signals is varies with the depth of the soil. With the increase of times of compaction, the impaction time of the stress is decreasing in every layer. But the speed of reaching compacted status in each layer is different.
ISSN:1230-2945
2300-3103
1230-2945
DOI:10.2478/ace-2014-0017