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<p>This study investigates the influence of pile length, pile diameter, and undrained cohesion of end-bearing soil on the bearing capacity factor Nc* for bored piles under undrained conditions. A validated finite element model was developed and employed in a comprehensive parametric study to assess the effects of the key variables on Nc*. The findings demonstrate that increasing pile diameter significantly reduces Nc*, attributed to diminished failure zone development and reduced shear strength mobilization beneath the pile tip. It has also been noted that the Nc* increases with higher undrained cohesion due to enhanced shear resistance efficiency beneath the pile tip, while longer pile lengths lead to a reduction in mobilized Nc*. The results also showed that the existing equations yield poor predictions of&#xa0;Nc*&#xa0;because these equations do not consider the influence of pile diameter or pile length. The obtained results are used to propose a novel and accurate equation to estimate Nc* utilizing an evolutionary polynomial regression algorithm. The equation incorporates all critical influencing factors, offering a reliable tool for accurate estimation of Nc*.</p>

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Parametric FEM Analysis and Data-Driven Modeling for Predicting Nc* of Bored Piles in Undrained Soils

  • 期刊论文

  • 发表日期：

    2025年11月5日

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  • Saif Alzabeebee,
  • Bashar Ismael,
  • Asad Albostami,
  • Teba Tariq Khaled,
  • Abeer W. Alshami

摘要

This study investigates the influence of pile length, pile diameter, and undrained cohesion of end-bearing soil on the bearing capacity factor Nc* for bored piles under undrained conditions. A validated finite element model was developed and employed in a comprehensive parametric study to assess the effects of the key variables on Nc*. The findings demonstrate that increasing pile diameter significantly reduces Nc*, attributed to diminished failure zone development and reduced shear strength mobilization beneath the pile tip. It has also been noted that the Nc* increases with higher undrained cohesion due to enhanced shear resistance efficiency beneath the pile tip, while longer pile lengths lead to a reduction in mobilized Nc*. The results also showed that the existing equations yield poor predictions of Nc* because these equations do not consider the influence of pile diameter or pile length. The obtained results are used to propose a novel and accurate equation to estimate Nc* utilizing an evolutionary polynomial regression algorithm. The equation incorporates all critical influencing factors, offering a reliable tool for accurate estimation of Nc*.