Numerical simulations of cone penetration in cemented sandstone

Rakhimzhanova, Aigerim; Thornton, Colin; Zhao, Yong

doi:10.1051/epjconf/202124914010

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…In general, the cemented simulated results were plotted above the K G ¼ 330 cutoff and reasonably shifted up and to the right as the apparent cohesion value (i.e., the level of cementation) increased from lightly to heavily cemented. This trend was similarly seen in the experimental work by Montoya et al (2021) and in the numerical work on cemented sandstone by Rakhimzhanova et al (2021). Therefore, the penetration model and soil model calibrations are resonably able to capture the effect of biocementation on q c .…”

Section: Model Validationsupporting

confidence: 63%

“…Simulations of cone penetration in cemented sands have been recently performed by Schweiger and Hauser (2021) and Rakhimzhanova et al (2021). Schweiger and Hauser (2021) simulated undrained cone penetration in cemented clayey silt using the particle finite-element method (PFEM) and the clay and sand model (CASM) for structured soil.…”

Section: Cone Penetration Numerical Simulationsmentioning

confidence: 99%

“…The trends in the results in terms of changes in pore pressure, undrained shear strength, and cone correction factors were analyzed by Hauser and Schweiger (2021). Rakhimzhanova et al (2021) utilized the discrete-element method (DEM) to simulate constant-rate vertical cone penetration in cemented sandstone. The cemented sandstone was represented by frictional elastic spheres with different bond strength values.…”

Section: Cone Penetration Numerical Simulationsmentioning

confidence: 99%

See 2 more Smart Citations

Axisymmetric Simulations of Cone Penetration in Biocemented Sands

Kortbawi

Moug

Ziotopoulou

et al. 2022

J. Geotech. Geoenviron. Eng.

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With the recent advances in the biogeotechnics field and specifically microbially induced calcite precipitation (MICP), cone penetration testing (CPT) has become a valuable tool to overcome the challenges associated with intact sampling of improved soils, evaluate the spatial extent and magnitude of the applied MICP treatment, and assess the consequential improvement of engineering properties. Although the CPT cone tip resistance (q c ) can effectively monitor the improvement of densified clean sands, no relationship exists to estimate cementation and strength parameters in MICP-treated sands. This paper proposes a relationship between the apparent cohesion (c) stemming from the MICP-induced cementation bonds at particle contacts and the change in tip resistance Δq c in initially loose sands. To develop a broadly useful correlation, available experimental CPT data in biocemented soils were used to guide computation simulations using a direct axisymmetric model of cone penetration in biocemented sands. The CPT numerical model uses the finite-difference method with a rezoning algorithm for large-deformation problems along with the Mohr-Coulomb constitutive model. The biocemented sand was characterized by Mohr-Coulomb strength parameters and an elastic shear modulus informed by shear-wave velocity measurements (V s ). The correlation parameters of interest were identified (c, q c , and V s ), and results of the numerical simulations were validated against available experimental data. Once validated, the numerical simulations were extended to different initial conditions, and the trends between parameters of interest were analyzed and interpreted. Results from the simulations are consistent with experimental data and show an increase in the cone tip resistance as the cementation level increases. The cementation level is modeled through apparent cohesion and the shear stiffness model parameters, which both increase as the cementation level increases. A linear relationship is proposed between the apparent cohesion and the change in cone tip resistance as a function of the confining stress.

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Section: Model Validationsupporting

confidence: 63%

Section: Cone Penetration Numerical Simulationsmentioning

confidence: 99%

Section: Cone Penetration Numerical Simulationsmentioning

confidence: 99%

See 1 more Smart Citation

Axisymmetric Simulations of Cone Penetration in Biocemented Sands

Kortbawi

Moug

Ziotopoulou

et al. 2022

J. Geotech. Geoenviron. Eng.

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Optimal Time-Step for Coupled CFD-DEM Model in Sand Production

Kazidenov

Omirbekov

2023

Lecture Notes in Computer Science

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The coupled Computational Fluid Dynamics and Discrete Element Method (CFD-DEM) is a useful tool for modeling the dynamics of sand production that occurs in oil and gas reservoirs. To perform accurate, physically relevant and efficient calculations, the optimal size of the simulation time-step should be selected. In this study, we investigate the selection of an appropriate time-step interval between CFD and DEM models in sand production simulations. The CPU time, speedup and root mean squared relative error of the obtained results are examined to compare the sand production phenomenon at different coupling numbers. Most of the results including the final sand production rate, bond number and bond ratio indicate that the simulations with coupling numbers of N = 10 and N = 100 produce more accurate results. Moreover, these outcomes demonstrate significant improvements in terms of acceleration of the modeling process.

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DEM analysis of crushing evolution in cemented granular materials during pile penetration

Benmebarek

Rad

2023

Computers and Geotechnics

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Numerical simulations of cone penetration in cemented sandstone

Cited by 3 publications

References 14 publications

Axisymmetric Simulations of Cone Penetration in Biocemented Sands

Axisymmetric Simulations of Cone Penetration in Biocemented Sands

Optimal Time-Step for Coupled CFD-DEM Model in Sand Production

DEM analysis of crushing evolution in cemented granular materials during pile penetration

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