Prediction of Settlement of Geocell Reinforced Sand Foundations.

Saride, Sireesh and Sitharam, T G and Puppala, A J (2010) Prediction of Settlement of Geocell Reinforced Sand Foundations. In: GeoShanghai International Conference, 3-5 June 2010, Shanghai, China.

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Utilization of geosynthetics as a reinforcement material to improve the weak subgrades is gaining popularity over decades. The evaluation of the improvement achieved from these foreign materials is always a difficult task. It is also necessary to have a quantitative assessment of the improvement achieved from these techniques to adopt them in the new designs. This paper presents the results of two prediction models such as artificial neural networks (ANNs) and non-linear multiple regression models to estimate the bearing capacity of a foundation resting on geocell reinforced sand beds. Modeling results are compared with the experimental results to address the efficacy of these models. Overall, results obtained from both models showed good agreement with the experimental measurements up to about 10% of the footing settlements. At higher settlements, ANNs prediction is better than the multiple regression models.

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IITH Creators:
IITH CreatorsORCiD
Saride, SireeshUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Subjects: Civil Engineering
Divisions: Department of Civil Engineering
Depositing User: Library Staff
Date Deposited: 04 Oct 2019 09:39
Last Modified: 04 Oct 2019 09:39
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