This paper investigates driven soil nail structures for roadside slopes, focusing on parametric analysis. It aims to identify the most influential factors based on the factor of safety (FOS) and permissible slope deformation. This paper optimizes design factors such as face slope, nail inclination, nail length etc., to improve their efficiency and safety. Automation techniques were utilized to manage 38,880 models, facilitating model generation and selection for result analysis. Heuristic-based artificial intelligence algorithms were integrated with a Finite Element Method (FEM) program, reducing the number of models to 17,587. The study also examines the limiting criteria for driven soil nails. Among the simulated models, 1642 failed, with displacement criterion being more critical than FOS criterion. Specifically, 169 models failed both criteria, 344 failed only the FOS criterion, and 1129 failed only the displacement criterion. Additionally, it is found that milder face slope and flat backfill are ideal for fulfilling displacement criterion.

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Parametric Optimization of Design Factors for Driven Soil Nail Structure Using Finite Element Method Framework

  • R. C. Tiwari,
  • P. K. Jha,
  • N. Chapagain,
  • S. Shrestha,
  • P. Bist,
  • M. Khanal,
  • M. B. Miya,
  • M. Mukhiya,
  • A. Tiwari

摘要

This paper investigates driven soil nail structures for roadside slopes, focusing on parametric analysis. It aims to identify the most influential factors based on the factor of safety (FOS) and permissible slope deformation. This paper optimizes design factors such as face slope, nail inclination, nail length etc., to improve their efficiency and safety. Automation techniques were utilized to manage 38,880 models, facilitating model generation and selection for result analysis. Heuristic-based artificial intelligence algorithms were integrated with a Finite Element Method (FEM) program, reducing the number of models to 17,587. The study also examines the limiting criteria for driven soil nails. Among the simulated models, 1642 failed, with displacement criterion being more critical than FOS criterion. Specifically, 169 models failed both criteria, 344 failed only the FOS criterion, and 1129 failed only the displacement criterion. Additionally, it is found that milder face slope and flat backfill are ideal for fulfilling displacement criterion.