Prediction of the Maximum Tensile Load in Reinforcement Layers of a MSE Wall Using ANN-Based Response Surface Method and Probabilistic Assessment of Internal Stability of the Wall-Reference-Cited by-同舟云学术

Prediction of the Maximum Tensile Load in Reinforcement Layers of a MSE Wall Using ANN-Based Response Surface Method and Probabilistic Assessment of Internal Stability of the Wall

Published:2022-08 Issue:8 Volume:22 Page:
ISSN:1532-3641
Container-title:International Journal of Geomechanics
language:en
Short-container-title:Int. J. Geomech.

Author:

Pramanik Rajarshi¹^ORCID,Babu G. L. Sivakumar²

Affiliation:

1. Postdoctoral Fellow, Dept. of Civil Engineering, Indian Institute of Science, Bengaluru, Karnataka 560012, India (corresponding author). ORCID: .

2. Professor, Dept. of Civil Engineering, Indian Institute of Science, Bengaluru, Karnataka 560012, India.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Soil Science

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29GM.1943-5622.0002473

Reference36 articles.

1. AASHTO. 2017. LRFD bridge design specifications. 8th ed. Washington, DC: AASHTO.

2. AASHTO. 2020. LRFD bridge design specifications. 9th ed. Washington, DC: AASHTO.

3. Improved Simplified Method for Prediction of Loads in Reinforced Soil Walls

4. Application of the Simplified Stiffness Method to Design of Reinforced Soil Walls

5. Probabilistic Tensile Strength Analysis of Steel Strips in MSE Walls Considering Corrosion

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