ArticleSensors (Basel, Switzerland)2021
The Identification of the Uncertainty in Soil Strength Parameters Based on CPTu Measurements and Random Fields.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Design of Cone Penetration Test Data Relay Transmission by Magnetic Communication.Sensors (Basel, Switzerland) · 2022Article
- Evaluation of Creep Behavior of Soft Soils by Utilizing Multisensor Data Combined with Machine Learning.Sensors (Basel, Switzerland) · 2022Article
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Authors and funding
3 authors.
Funding
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Abstract
The present paper responds to the challenge of modeling uncertainty in soil strength parameters concerning its spatial variability in a situation of limited soil information. Understanding this uncertainty allows for the management of the risk of geotechnical structure failure. In the present work, this uncertainty is identified based on signals from the cone penetration test (CPT) device. Signals are directly transformed using existing interpretation methods (typically used as a source of mean values of parameters for a given range of depths) to obtain depth-varying effective strength parameters of the soil. The process is performed by incorporating data from two case studies from different locations in similar soil materials. First, Keswick clay from Australia, for which the results of both CPT and laboratory tests are available, is examined. Second, to further verify the obtained results, the soil from Poland called Świerzna clay, for which only CPT signals were available, is also tested. As shown, the variability of the transformed signals can be a good source of information for identifying uncertainty in soil strength. It agrees well with literature data and can be used to identify random fields describing soil parameters.
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Registered trials
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