Evidence map›Paper›PMID 34450835›Full record

ArticleSensors (Basel, Switzerland)2021

The Identification of the Uncertainty in Soil Strength Parameters Based on CPTu Measurements and Random Fields.

Joanna Pieczyńska-Kozłowska, Irena Bagińska, Marek Kawa

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Joanna Pieczyńska-KozłowskaDepartment of Civil Engineering, Wrocław University of Science and Technology, 50-370 Wrocław, Poland.ORCID 0000-0001-9304-7059
Irena BagińskaDepartment of Civil Engineering, Wrocław University of Science and Technology, 50-370 Wrocław, Poland.ORCID 0000-0002-8481-5893
Marek KawaDepartment of Civil Engineering, Wrocław University of Science and Technology, 50-370 Wrocław, Poland.ORCID 0000-0001-5033-9959

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

CPT datageotechnical surveysoil strength parametersspatial variability

Identifiers

PMID34450835
PMCPMC8401581

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.