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Seismic Stability Analysis of a Bamboo Grid Reinforced Slope Based on Non-linear Time History Analysis

  • 2025
  • OriginalPaper
  • Chapter
Published in:
Authors
Rasmiranjan Samal
Smrutirekha Sahoo
Published in
Proceedings of the 3rd International Conference on Advances in Concrete, Structural, and Geotechnical Engineering—Volume 2
Publisher
Springer Nature Singapore

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Abstract

This chapter delves into the seismic stability analysis of slopes reinforced with bamboo grids, utilizing non-linear time history analysis to evaluate the impact of different ground motions. The study employs the MIDAS GTS NX software to model a slope and assess its stability under various seismic conditions. Key topics include the behavior of the slope under different failure conditions, the development of axial forces in bamboo grids, and the time-dependent horizontal displacement and settlement of the slope. The analysis reveals that the reinforced slope under combined ground motion is more stable compared to individual ground motions, highlighting the effectiveness of bamboo grids in mitigating seismic risks. The study also identifies the face portion of the slope as the most vulnerable area, emphasizing the importance of targeted reinforcement strategies. The findings underscore the significance of considering multiple ground motions in slope stability assessments and the potential of bamboo grids as a sustainable and cost-effective reinforcement solution.
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previous chapter Seismic Response Evaluation of Precast Concrete Structures
next chapter Shear Strength Prediction of Reinforced Concrete Beams Using Truss Analogy Approach
Title
Seismic Stability Analysis of a Bamboo Grid Reinforced Slope Based on Non-linear Time History Analysis
Authors
Rasmiranjan Samal
Smrutirekha Sahoo
Copyright Year
2025
Publisher
Springer Nature Singapore
Book
Proceedings of the 3rd International Conference on Advances in Concrete, Structural, and Geotechnical Engineering—Volume 2

Print ISBN: 978-981-9607-50-1

Electronic ISBN: 978-981-9607-51-8

Copyright Year: 2025

DOI
https://doi.org/10.1007/978-981-96-0751-8_32
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