Behavioral Study of Raft Reinforced with Geogrid and Geocell Through Experiments and Neural Models

Document Type : Research Papers

Authors

1 Assistant Professor, Department of Civil Engineering, SoET Block, Central University of Haryana, Mahendergarh, India.

2 Assistant Professor, Department of Civil Engineering, MIT Muzaffarpur, Bihar, India.

3 Ph.D. Candidate, Scientist, CSIR-NEERI, Delhi Zonal Centre, India.

4 Assistant Professor, Department of Civil Engineering, School of Engineering and Technology, Central University of Haryana, India

5 Assistant Professor, Department of Civil Engineering, School of Engineering and Technology, Central University of Haryana, India.

Abstract

The stability of a structure could be achieved either by adopting strong foundation or by improving the strength of the soil. This study is an attempt to investigate the behavior of a raft foundation (U-RF) upon reinforcing with geogrid (RF-R-Gr) and reinforcing with geocell (RF-R-Gc). The results of the study showed that optimal depth for placement of geogrid was found to be 0.3B (B is width of raft) while optimal depth for geocell varied from 0.1B to 0.15B. It was also found that the Bearing Capacity Ratio (BCR) for RF-R-Gr was typically six times higher than U-RF, while for RF-R-Gc it was eleven times higher than U-RF. Further, the outcomes of experimental study were modeled using Artificial Neural Networks (ANN) to predict the settlements. It was found that ANN models predicted settlement with higher values of correlation coefficient (r) as 0.9996 for RF-R-Gr and 0.9995 for RF-R-G.

Keywords

References

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Civil Engineering Infrastructures Journal
Volume 56, Issue 2
December 2023
Pages 321-332

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History

  • Receive Date: 02 June 2022
  • Revise Date: 29 November 2022
  • Accept Date: 16 January 2023

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