- Title
- A Bayesian characterization approach for 2D profiles of soil properties via integrating information from CPTU and MASW in site investigation
- Creator
- Zheng, Dong; Li, Dianqing; Huang, Jinsong
- Relation
- Journal of Basic Science and Engineering Vol. 29, Issue 2, p. 337-354
- Publisher Link
- http://dx.doi.org/10.16058/j.issn.1005-0930.2021.02.008
- Publisher
- Yingyong Jichu yu Gongcheng Kexue Xuebao Bianjibu
- Resource Type
- journal article
- Date
- 2021
- Description
- Piezocone penetration test (CPTU) and multichannel analysis of surface waves (MASW) are common methods for ground investigation. Integrating the data from the abovementioned two methods for accurate characterization of soil profiles is a critical and difficult issue. This paper proposes an approach for integrating the geotechnical and geophysical testing data based on Bayesian theory. The proposed approach is validated by a synthetic example, and is further applied to the Ballina site, Australia for integrating the site data and characterizing the profiles of soil properties. The results indicate that the updated random field after integrating the CPTU and MASW data provides an accurate and concise description of spatial distribution of the soil parameter throughout the two dimensional (2D) sub-region. When using the CPTU data only, the soil parameters at areas where CPTU is not performed can be inferred, and the local uncertainties of soil profiles near CPTU are reduced. When integrating the 1D CPTU and 2D MASW data, the characterized soil profile has good agreement with the "true" profile, and the uncertainties of soil profiles in the whole sub-region are further reduced. In the Ballina case, the uncertainties of 2D soil profiles are reduced when increasing the integrated site data, and the "weak" areas are effectively identified.
- Subject
- site survey; static penetration test; surface wave multi-channel analysis; bayesian fusion; 2d profile; spatial variability
- Identifier
- http://hdl.handle.net/1959.13/1450506
- Identifier
- uon:43951
- Identifier
- ISSN:1005-0930
- Language
- eng
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