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<p>The primary objective of this study is to investigate the contact behavior between soil and super-long bored piles (SLBPs). To address this problem, a three-dimensional simulation–optimization framework (3DSOF) is developed by integrating a meta-heuristic algorithm, a finite element (FE) model, and the Python programming language. First, a series of empirical methods is employed to obtain soil engineering parameters. Subsequently, an in-situ pile load test under static axial compressive loading was carried out in accordance with ASTM D1143. The resulting load–settlement curve showed good agreement with the field test results, indicating that the method can reliably capture key soil characteristics and provide parameter estimates close to actual in-situ values. Based on these results, the soil–pile contact behavior, represented by <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\:{R}_{\text{inter}}\)</EquationSource> </InlineEquation>, is examined. The results show that <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\:{R}_{\text{inter}}\)</EquationSource> </InlineEquation> decreases with depth and depends on soil type, with clear differences between sand and clay around super-long bored piles. This study proposes representative ranges of <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(\:{R}_{\text{inter}}\:\)</EquationSource> </InlineEquation>for both soil types and provides useful guidance for its selection, while indicating the importance of further study.</p>

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A Calibrated Framework Integrating Three-Dimensional Numerical Modeling with an Optimization Algorithm for the Estimation of Soil–Pile Interaction

  • 期刊论文

  • 发表日期：

    2026年2月13日

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  • Thanh-Sang To,
  • Quoc Thien-Huynh,
  • Linh Van Hong Bui,
  • Thanh Cuong-Le

摘要

The primary objective of this study is to investigate the contact behavior between soil and super-long bored piles (SLBPs). To address this problem, a three-dimensional simulation–optimization framework (3DSOF) is developed by integrating a meta-heuristic algorithm, a finite element (FE) model, and the Python programming language. First, a series of empirical methods is employed to obtain soil engineering parameters. Subsequently, an in-situ pile load test under static axial compressive loading was carried out in accordance with ASTM D1143. The resulting load–settlement curve showed good agreement with the field test results, indicating that the method can reliably capture key soil characteristics and provide parameter estimates close to actual in-situ values. Based on these results, the soil–pile contact behavior, represented by \(\:{R}_{\text{inter}}\) , is examined. The results show that \(\:{R}_{\text{inter}}\) decreases with depth and depends on soil type, with clear differences between sand and clay around super-long bored piles. This study proposes representative ranges of \(\:{R}_{\text{inter}}\:\) for both soil types and provides useful guidance for its selection, while indicating the importance of further study.