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<p>Traversing the erosion-prone Loess Plateau, the Yellow River is notable for having the highest average sediment concentration globally. Given its local availability and cost-effectiveness, this silt has been commonly utilized as a construction material in the region. Nevertheless, a significant research gap remains regarding the assessment of its mechanical properties and stability. This investigation focuses on examining how stress states and physical characteristics influence the dynamic resilient modulus (<i>M</i><sub>r</sub>) of Yellow River silt (YRS) under prolonged dynamic loading. To this end, repeated load triaxial (RLT) tests were performed, applying 10,000 loading cycles and varying key parameters including confining pressure (<i>σ</i>₃), relative density (<i>D</i><sub>r</sub>), loading frequency (<i>f</i>), and cyclic stress ratio (CSR). Statistical methods were employed to determine the confidence intervals and distribution patterns of the <i>M</i><sub>r</sub> values across these different test conditions. Results indicated that the silt exhibits cyclic hardening behavior under cyclic loading. The minimum recorded <i>M</i><sub>r</sub> value exceeded 64.4&#xa0;MPa across all tested scenarios. The influence of individual factors was quantified by using both power exponent and linear regression models. Furthermore, a comprehensive predictive model for estimating <i>M</i><sub>r</sub> was developed, incorporating confining pressure (<i>σ</i>₃), relative density (<i>D</i><sub>r</sub>), loading frequency (<i>f</i>), and cyclic stress ratio (CSR) through factor analysis and multivariate nonlinear regression. A comparison between measured and predicted <i>M</i><sub>r</sub> values confirmed the model's applicability. These outcomes provide valuable insights into the mechanical evaluation and stability assessment of embankment structures built with YRS.</p>

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Estimation and prediction of dynamic resilient modulus of Yellow River silt under long-term dynamic loading based on mathematical statistics method

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月3日

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  • Yuyuan Chen,
  • Hemanta Hazarika,
  • Yuke Wang

摘要

Traversing the erosion-prone Loess Plateau, the Yellow River is notable for having the highest average sediment concentration globally. Given its local availability and cost-effectiveness, this silt has been commonly utilized as a construction material in the region. Nevertheless, a significant research gap remains regarding the assessment of its mechanical properties and stability. This investigation focuses on examining how stress states and physical characteristics influence the dynamic resilient modulus (Mr) of Yellow River silt (YRS) under prolonged dynamic loading. To this end, repeated load triaxial (RLT) tests were performed, applying 10,000 loading cycles and varying key parameters including confining pressure (σ₃), relative density (Dr), loading frequency (f), and cyclic stress ratio (CSR). Statistical methods were employed to determine the confidence intervals and distribution patterns of the Mr values across these different test conditions. Results indicated that the silt exhibits cyclic hardening behavior under cyclic loading. The minimum recorded Mr value exceeded 64.4 MPa across all tested scenarios. The influence of individual factors was quantified by using both power exponent and linear regression models. Furthermore, a comprehensive predictive model for estimating Mr was developed, incorporating confining pressure (σ₃), relative density (Dr), loading frequency (f), and cyclic stress ratio (CSR) through factor analysis and multivariate nonlinear regression. A comparison between measured and predicted Mr values confirmed the model's applicability. These outcomes provide valuable insights into the mechanical evaluation and stability assessment of embankment structures built with YRS.