Comparative Analysis of ALE Method Implementation in Time Integration Schemes for Pile Penetration Modeling

This study investigates the full penetration simulation of piles from the ground surface, focusing on frictional contact modeling without mesh distortion. To overcome issues related to mesh distortion and improve solution convergence, the Arbitrary Lagrangian–Eulerian (ALE) adaptive mesh technique was implemented within both explicit and implicit time integration schemes. The numerical model was validated against field experiments conducted at Bothkennar, Scotland, using the Imperial College instrumented displacement pile (ICP) in soft clay, where the soil behavior was effectively represented using the modified Cam-Clay model and the Mohr–Coulomb model. The primary objectives of this study are to evaluate the ALE method performance in handling mesh distortion; analyze the effects of soil–pile interface friction, pile dimensions, and various dilation angles on pile resistance; and compare the effectiveness of explicit and implicit time integration schemes in terms of stability, computational efficiency, and solution accuracy. The ALE method effectively modeled pile penetration in Bothkennar clay, validating the numerical model against field experiments. Comparative analysis revealed the explicit time integration method as more robust and computationally efficient, particularly for complex soil–pile interactions with higher friction coefficients.

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Publication Details

Journal
Mathematical and Computational Applications
Published
2025-05-22
DOI
https://doi.org/10.3390/mca30030058
Citations
1
Primary Topic
Geotechnical Engineering and Underground Structures
Type
article
Field-Weighted Citation Impact
0.95

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article

Comparative Analysis of ALE Method Implementation in Time Integration Schemes for Pile Penetration Modeling

Nazihe Terfaya, Patrick Staubach, Abdelmadjid Berga, Ihab Bendida Bourokba
1 citations
Mathematical and Computational Applications
Geotechnical Engineering and Underground Structures
0.95
article

Comparative Analysis of ALE Method Implementation in Time Integration Schemes for Pile Penetration Modeling

Nazihe Terfaya, Patrick Staubach, Abdelmadjid Berga, Ihab Bendida Bourokba
article en
1 citations

Abstract

This study investigates the full penetration simulation of piles from the ground surface, focusing on frictional contact modeling without mesh distortion. To overcome issues related to mesh distortion and improve solution convergence, the Arbitrary Lagrangian–Eulerian (ALE) adaptive mesh technique was implemented within both explicit and implicit time integration schemes. The numerical model was validated against field experiments conducted at Bothkennar, Scotland, using the Imperial College instrumented displacement pile (ICP) in soft clay, where the soil behavior was effectively represented using the modified Cam-Clay model and the Mohr–Coulomb model. The primary objectives of this study are to evaluate the ALE method performance in handling mesh distortion; analyze the effects of soil–pile interface friction, pile dimensions, and various dilation angles on pile resistance; and compare the effectiveness of explicit and implicit time integration schemes in terms of stability, computational efficiency, and solution accuracy. The ALE method effectively modeled pile penetration in Bothkennar clay, validating the numerical model against field experiments. Comparative analysis revealed the explicit time integration method as more robust and computationally efficient, particularly for complex soil–pile interactions with higher friction coefficients.

Mathematical and Computational ApplicationsVol. 30(3)
University of Bechar (DZ), Bauhaus-Universität Weimar (DE)
Direction Générale de la Recherche Scientifique et du Développement Technologique
Openalex Percentile: Top 26%
Geotechnical Engineering and Underground Structures
0.95
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Comparative Analysis of ALE Method Implementation in Time Integration Schemes for Pile Penetration Modeling — Nazihe Terfaya, Patrick Staubach, et al. · Mathematical and Computational Applications (2025) | TGRS Research Map | TGRS