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

  • 2025
  • OriginalPaper
  • Chapter
Published in:
Authors
R. C. Tiwari
P. K. Jha
N. Chapagain
S. Shrestha
P. Bist
M. Khanal
M. B. Miya
M. Mukhiya
A. Tiwari
Published in
Proceedings of GeoMandu 2024 Volume 3
Publisher
Springer Nature Singapore

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Abstract

This chapter delves into the parametric optimization of design factors for driven soil nail structures using the finite element method framework. It begins with an introduction to soil nailing, its historical background, and its applications in various regions, including Nepal. The study compares driven soil nailing with traditional grouted methods, highlighting the advantages and disadvantages of each. The modeling process is conducted using PLAXIS 2D, with a focus on the Mohr–Coulomb model for analysis. Key parameters such as Young’s modulus, Poisson’s ratio, cohesion, friction angle, and dilatancy angle are determined for the analysis. The study also explores the use of Python scripting to automate the modeling process, significantly reducing the time and effort required for extensive simulations. A sensitivity analysis is performed to distinguish between weaker and stronger soil nailing models without running all simulations. The chapter concludes with a discussion on the factors influencing the behavior and performance of soil nail walls, providing valuable insights for professionals in the field.
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previous chapter Curtain Grouting in the Himalayan Rockmass—The Upper Tamakoshi Dam Case Study, Nepal
next chapter Deep Excavation Support in Soft Ground with Parametric Variations for Adjacent Structures
Title
Parametric Optimization of Design Factors for Driven Soil Nail Structure Using Finite Element Method Framework
Authors
R. C. Tiwari
P. K. Jha
N. Chapagain
S. Shrestha
P. Bist
M. Khanal
M. B. Miya
M. Mukhiya
A. Tiwari
Copyright Year
2025
Publisher
Springer Nature Singapore
Book
Proceedings of GeoMandu 2024 Volume 3

Print ISBN: 978-981-9685-31-8

Electronic ISBN: 978-981-9685-32-5

Copyright Year: 2025

DOI
https://doi.org/10.1007/978-981-96-8532-5_24
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