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Rainfall Induced Geotextile Reinforced Model Slope Embankment Subjected to Surcharge Loading: A Review Study

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Abstract

Geosynthetic-reinforced soil systems are commonly set to support roads on modern pile supports have been replaced by road approach, bridge abutments and technologies. Over soft foundation soils, geotextile is often utilized to enhance embankments performance. Therefore, the geotextile reinforced embankment is used with the benefits of geotextiles. Due to the major negative effects on social and economic factors, slope failures are often considered a high-risk geo-environmental threat. For the slope failures, rainfall is the most prevailing generating factor. The slope loss susceptibility is increased and the power of shear is reduced, soil matric suction is reduced by the rainfall infiltration. In this review, the researcher structured a brief explanation about the geotextiles with their uses in constructions, toxicity, performance, and their types. Subsequently, the embankment reinforcement slope model, the slope stability techniques and the model subjected with surcharge load are discussed related to different models, additionally, the numerical methods for the stabilization of embankment slope and soil structure which are also distinguished using experimental analysis. Large differential settlements, bearing capacity, and durability are the consideration of deformation and stability and these significant problems are overcome by increasingly using this technique during the building is taking place on very soft soil which will examine using an indoor artificial rainfall erosion model testing. From the art of study, motivation is defined, by the problem definition surveyed by the various studies. To overcome the problems identified, the review’s objective is mentioned to establish a stable embankment with the geotextile reinforced slope model subjected to surcharge load.

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Correspondence to Saurabh Kumar.

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Kumar, S., Roy, L.B. Rainfall Induced Geotextile Reinforced Model Slope Embankment Subjected to Surcharge Loading: A Review Study. Arch Computat Methods Eng 29, 3203–3221 (2022). https://doi.org/10.1007/s11831-021-09688-2

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