Soil Consolidation Parameters Derived from CPTu Probing

Vlček, Jozef; Bulko, Roman; Bartuška, Ladislav; Kmec, Ján

doi:10.1016/j.proeng.2016.08.522

Cited by 4 publications

(5 citation statements)

References 5 publications

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“…The coefficient of consolidation 𝑐 𝑣 can be estimated from laboratory experiments via graphical methods or by using the general formula that depends on permeability and soil stiffness. Information regarding the constituents of 𝑐 𝑣 is often obtained from scarce and different sources [14].…”

Section: Accepted Manuscript N O T C O P Y E D I T E Dmentioning

confidence: 99%

“…The consolidation parameter 𝑐 𝑣 is subjected to epistemic uncertainties. Different graphical methods are used for determining 𝑐 𝑣 (Taylor method, Casagrande method…), and the values of 𝑐 𝑣 are sometimes computed using formula (14), with a directly measured coefficient of permeability 𝑘 and a coefficient of volume compressibility 𝑚 𝑣 obtained from an oedometer curve. These 𝑐 𝑣 values have been found larger than the ones obtained by graphical methods [28].…”

Section: -1 Vertical 1-d Consolidation Equationmentioning

confidence: 99%

“…In the considered formula of 𝑐 𝑣 (14) the main sources of uncertainty come from evaluation of permeability 𝑘 and coefficient of volume compressibility 𝑚 𝑣 . In situ and laboratory measures are used to estimate permeability 𝑘 in soils.…”

Section: -1 Vertical 1-d Consolidation Equationmentioning

confidence: 99%

See 2 more Smart Citations

Possibilistic Uncertainty Quantification in One-Dimensional Consolidation Problems

Boumezerane

2021

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering

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In this study, we use possibility distribution as a basis for parameter uncertainty quantification in one-dimensional consolidation problems. A Possibility distribution is the one-point coverage function of a random set and viewed as containing both partial ignorance and uncertainty. Vagueness and scarcity of information needed for characterizing the coefficient of consolidation in clay can be handled using possibility distributions. Possibility distributions can be constructed from existing data, or based on transformation of probability distributions. An attempt is made to set a systematic approach for estimating uncertainty propagation during the consolidation process. The measure of uncertainty is based on Klir's definition (1995). We make comparisons with results obtained from other approaches (probabilistic…) and discuss the importance of using possibility distributions in this type of problems.

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Section: Accepted Manuscript N O T C O P Y E D I T E Dmentioning

confidence: 99%

Section: -1 Vertical 1-d Consolidation Equationmentioning

confidence: 99%

See 1 more Smart Citation

Possibilistic Uncertainty Quantification in One-Dimensional Consolidation Problems

Boumezerane

2021

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering

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“…CPTU probing enable also, by means of empirical relationships, to determine the soil deformation modulus. Measurement with CPTU cone provides four values: q cdrive in resistance on the cone, f s friction on sleeve, uincrease of pore pressure and control column deviation from vertical [8]. Eurocode 7, Part II [5] points out some correlation between edometric modulus E oed and drive in resistance on the cone q c .…”

Section: Field Testingstatic Probing Cptumentioning

confidence: 99%

Pile group settlement analysis on the basis of Static Load Test

Dudek

2019

E3S Web Conf.

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Settlement of large pile groups is most often estimated by the Alternative Foundation Method. However, this method has some limitations related to assumed uniformity of pile loads. A very big problem is also related to estimating the stiffness of subgrade loaded by a group of piles. Similar problems arise when piled foundation is numerically modelled in Finite Element Method or Boundary Element Method programmes. The results obtained are highly dependent on the input data, especially on characteristics describing soil subgrade stiffness and strength and moduli at pile – soil contact. The paper presents an example of using the results of trial static calculations for the pile made using a technology not identical with that ultimately implemented for the project. The subgrade stiffness modulus was determined with Inverse Analysis using bored pile test load. The results attained were used for further calculations (forecast) the settlement of prefabricated driven pile (a single one) and then to estimate of pile group settlement under full load from bridge structure abutment.

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“…In this study epistemic uncertainty is taken into consideration. It originates from estimating the parameter in laboratory or from field measurements (Vlcek et al 2016). Shuklal et al (2009) give an extended review on different techniques used for determining coefficient of consolidation c v .…”

Section: Introductionmentioning

confidence: 99%

Fuzzy-Based Parameter Uncertainty in 1-D Consolidation in Clay

Boumezerane

2020

Geotech Geol Eng

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Uncertainties in consolidation parameters are generally studied using probabilities. Due to lack of data and knowledge it is proposed to consider consolidation parameters within a fuzzy sets framework, as composed of series of intervals which allow taking into account uncertainty. One of the noticeable advantages of such an approach is its ability to deal easily with uncertainty in a context of lack of data. A fuzzy finite difference scheme is implemented and results compared with available data and with results from methods using probabilistic parameter distribution approaches for 1-D consolidation in clay.

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Soil Consolidation Parameters Derived from CPTu Probing

Cited by 4 publications

References 5 publications

Possibilistic Uncertainty Quantification in One-Dimensional Consolidation Problems

Possibilistic Uncertainty Quantification in One-Dimensional Consolidation Problems

Pile group settlement analysis on the basis of Static Load Test

Fuzzy-Based Parameter Uncertainty in 1-D Consolidation in Clay

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