Title: Predicting the settlement of geogrid-reinforced soil foundations in railway track using cuttlefish algorithm

Authors: M.A. Balasubramani; R. Venkatakrishnaiah; K.V.B. Raju

Addresses: Department of Civil Engineering, Bharath Institute of Higher Education and Research, Tamil Nadu, India ' Department of Civil Engineering, Bharath Institute of Higher Education and Research, Tamil Nadu, India ' Department of Civil Engineering, Bharath Institute of Higher Education and Research, Tamil Nadu, India

Abstract: Geogrid-reinforced soil foundations have lately become vital to consider the possibilities of recycling and reusing these materials after years of employing geosynthetics in developing infrastructure and civil engineering. This study uses a suggested cuttlefish algorithm on the MATLAB platform to examine how recycled geogrid affects soil carrying capacity (CFA). A polyester geosynthetic was chosen for testing owing to its strong biodegradation resistance and widespread use. In a series of numerical analyses, two distinct kinds of road and railroad subgrade were combined with geosynthetic cuttings at two different weight concentrations. The study aimed to show if recycled materials from previous demolition geosynthetics might be strengthened for road and rail subgrade use. Additionally, taken into account was the effect of the geosynthetic cutting form. Under this numerical analysis, recycled geogrid can boost pavement subgrade carrying capacity. Adding 2.0% sand compacts the earth enough to support the subgrade-improved railway track. As expected, soil type and geogrid cutting shape affect this enhancement.

Keywords: geosynthetics; geogrid; polyester; improved subgrade; cuttlefish algorithm; sustainable development.

DOI: 10.1504/IJIEI.2023.132702

International Journal of Intelligent Engineering Informatics, 2023 Vol.11 No.2, pp.138 - 154

Received: 30 Jan 2023
Accepted: 30 Mar 2023
Published online: 08 Aug 2023 *

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