Prediction and validation of geogrid tensile force distribution in back-to-back MSE walls under rail axle load: finite-element and intelligent techniques-Reference-Cited by-同舟云学术

Prediction and validation of geogrid tensile force distribution in back-to-back MSE walls under rail axle load: finite-element and intelligent techniques

Published:2024-02-28 Issue:5 Volume:83 Page:
ISSN:1866-6280
Container-title:Environmental Earth Sciences
language:en
Short-container-title:Environ Earth Sci

Author:

Vadavadagi Shilpa S.^ORCID,Chawla Sowmiya^ORCID,Kumar Prince^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12665-024-11443-2.pdf

Reference63 articles.

1. Abd Elaziz M, Dahou A, Abualigah L, Yu L, Alshinwan M, Khasawneh AM, Lu S (2021) Advanced metaheuristic optimization techniques in applications of deep neural networks: a review. Neural Comput Appl 33(21):14079–14099

2. Abiodun OI, Jantan A, Omolara AE, Dada KV, Mohamed NA, Arshad H (2018) State-of-the-art in artificial neural network applications: a survey. Heliyon 4(11):e00938

3. Ahmed NK, Atiya AF, Gayar NE, El-Shishiny H (2010) An empirical comparison of machine learning models for time series forecasting. Economet Rev 29(5–6):594–621

4. Bai C, Nguyen H, Asteris PG, Nguyen-Thoi T, Zhou J (2020) A refreshing view of soft computing models for predicting the deflection of reinforced concrete beams. Appl Soft Comput 97:106831

5. Banerjee L, Chawla S, Dash SK (2020a) Application of geocell reinforced coal mine overburden waste as subballast in railway tracks on weak subgrade. Constr Build Mater 265:120774

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