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A platform for research: civil engineering, architecture and urbanism
Settlement in geosynthetic reinforced square footing over cohesive soil
Earth buildings on clayey soil can be less functional due to its low load-bearing capacity. In clayey soil with low load-bearing capability, buildings, flyovers, interchanges, and bridges fail and crack. Recently, geosynthetic reinforcements have been used to improve soil stability and bearing capacity at low cost. To maximise geosynthetic benefits, materials must be placed optimally in the foundation. Thus, this study includes small-scale laboratory footing testing to determine how the depth of the initial reinforcement layer (u), number of reinforcement layers (N), width of reinforcement (b), and vertical spacing between reinforcements (h) affect it. The results showed that geosynthetic location and loading greatly affect foundation bearing capacity. R Studio was used to calculate a regression model to determine a reinforced clay foundation’s ultimate bearing capacity using experimental results. When crucial parameters for estimating square footing ultimate bearing capacity were integrated, the model matched experimental data with 95% confidence.
Settlement in geosynthetic reinforced square footing over cohesive soil
Earth buildings on clayey soil can be less functional due to its low load-bearing capacity. In clayey soil with low load-bearing capability, buildings, flyovers, interchanges, and bridges fail and crack. Recently, geosynthetic reinforcements have been used to improve soil stability and bearing capacity at low cost. To maximise geosynthetic benefits, materials must be placed optimally in the foundation. Thus, this study includes small-scale laboratory footing testing to determine how the depth of the initial reinforcement layer (u), number of reinforcement layers (N), width of reinforcement (b), and vertical spacing between reinforcements (h) affect it. The results showed that geosynthetic location and loading greatly affect foundation bearing capacity. R Studio was used to calculate a regression model to determine a reinforced clay foundation’s ultimate bearing capacity using experimental results. When crucial parameters for estimating square footing ultimate bearing capacity were integrated, the model matched experimental data with 95% confidence.
Settlement in geosynthetic reinforced square footing over cohesive soil
Mudgal, Ankur (author) / Sarkar, Raju (author) / Kumar Shrivastava, Amit (author) / Mishra, Umank (author) / Meshram, Kundan (author) / Imam, Ashhad (author) / Singh, Anoop Narain (author)
International Journal of Geotechnical Engineering ; 19 ; 202-212
2025-04-21
11 pages
Article (Journal)
Electronic Resource
English
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