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Zhang, Yunhuo; Li, Yunyue Elita; Ku, Taeseo
Tunnelling and underground space technology, September 2021, 2021-09-00, 20210901, Letnik: 115Journal Article
•Autocorrelation method can turn irregular ambient noise to useful zero-offset signal.•Bedrock can be accurately mapped out and imaged with estimated P-wave reflectivity.•Realistic average P-wave velocity of soil sediments can be estimated.•The proposed method is convenient for implementation, even on uneven terrain. Soil/rock interface detection is an essential and critical task in geological site investigation for underground and tunnel projects. The required accuracy is within a few meters both vertically and horizontally. The required resolution poses big challenges to geophysical surveys to be applied in near-surface engineering works. This paper presents a new approach of non-invasive geophysical survey, namely autocorrelation. It is originally derived from seismic interferometry cross-correlation, which can convert a physical geophone to a virtual source. To the extreme is autocorrelation. It turns a single geophone into a self-source receiver. With this concept, the proposed approach includes two methods aiming to reduce the reliance on reference boreholes. A field testing carried out in Singapore is presented to demonstrate the concept and results step by step. The case study also demonstrates that the proposed method can fine-tune the autocorrelograms to achieve the required resolution both laterally and vertically. A by-product of realistic average Vp of the soil layers above soil/rock interface can be estimated reasonably by the proposed method. Two more case studies are followed to illustrate the proposed methods can produce reasonable 2D and 3D soil/rock interface profiles. Due to the self-source feature, this approach is convenient to implement on site. The proposed approach can be an attractive option for geotechnical and geological site investigation especially for delineating the soil/rock interface topography.
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Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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in: SICRIS
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