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<p>This study introduces a novel method for predicting horizontal displacement in riverbank retaining walls, with a specific focus on the riverbank in Ho Chi Minh City, Vietnam. Employing finite element analysis (FEA) in conjunction with linear regression, the research establishes a predictive formula tailored to the unique geological conditions of the region. The analysis encompasses a variety of 160 scenarios involving differing pile lengths, diameters, spacings, and weather conditions to understand their impact on horizontal displacement. Based on the depth of the piles (24 m, 30 m, 36 m, 42 m, and 48 m), results demonstrate that a pile length of 36 m optimally minimizes horizontal displacement. The investigation reveals that variations in pile spacing and diameter do not consistently lead to reduced displacements, reflecting the complex interactions between soil and structure. This innovative approach merges the detailed modeling capabilities of FEA with the statistical rigor of linear regression; the study detected the extent to which various factors (number of piles, pile diameter, pile spacing, pile type, and weather conditions) influence horizontal displacement, providing a practical tool for engineers to estimate displacement values efficiently. The findings emphasize the need for appropriate design solutions based on factors influencing horizontal displacement to improve the reliability and cost-effectiveness of retaining wall designs. This research contributes valuable insights into the design of stable retaining wall foundations, ensuring their safety and durability against the dynamic forces encountered in riverbank environments.</p>

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A Novel Approach to Predicting Horizontal Displacement of Riverbank Retaining Walls

  • 期刊论文

  • 发表日期：

    2025年1月14日

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  • Phuong Tuan Nguyen,
  • Truong Xuan Dang,
  • Tuan Anh Nguyen,
  • Luan Nhat Vo,
  • Hoa Van Vu Tran

摘要

This study introduces a novel method for predicting horizontal displacement in riverbank retaining walls, with a specific focus on the riverbank in Ho Chi Minh City, Vietnam. Employing finite element analysis (FEA) in conjunction with linear regression, the research establishes a predictive formula tailored to the unique geological conditions of the region. The analysis encompasses a variety of 160 scenarios involving differing pile lengths, diameters, spacings, and weather conditions to understand their impact on horizontal displacement. Based on the depth of the piles (24 m, 30 m, 36 m, 42 m, and 48 m), results demonstrate that a pile length of 36 m optimally minimizes horizontal displacement. The investigation reveals that variations in pile spacing and diameter do not consistently lead to reduced displacements, reflecting the complex interactions between soil and structure. This innovative approach merges the detailed modeling capabilities of FEA with the statistical rigor of linear regression; the study detected the extent to which various factors (number of piles, pile diameter, pile spacing, pile type, and weather conditions) influence horizontal displacement, providing a practical tool for engineers to estimate displacement values efficiently. The findings emphasize the need for appropriate design solutions based on factors influencing horizontal displacement to improve the reliability and cost-effectiveness of retaining wall designs. This research contributes valuable insights into the design of stable retaining wall foundations, ensuring their safety and durability against the dynamic forces encountered in riverbank environments.