Effect of Geocell Reinforcement above Buried Pipes on Surface Settlement

2018 ◽  
Vol 9 (2) ◽  
pp. 86 ◽  
Author(s):  
Mohammed Yousif Fattah ◽  
Waqed Hameed Hassan ◽  
Sajjad E. Rasheed
Keyword(s):  
Surface Settlement ◽  
Buried Pipes ◽  
Geocell Reinforcement

Behavior of Flexible Buried Pipes Under Geocell Reinforced Subbase Subjected to Repeated Loading

2018 ◽  
Vol 9 (1) ◽  
pp. 22-41 ◽  
Author(s):  
Mohammed Yousif Fattah ◽  
Waqed Hammed Hassan ◽  
Sajjad Emad Rasheed
Keyword(s):  
Experimental Data ◽  
Laboratory Experiments ◽  
Numerical Models ◽  
Repeated Loading ◽  
Sand Layer ◽  
Medium Sand ◽  
Buried Pipe ◽  
Buried Pipes ◽  
3D Numerical Model ◽  
Geocell Reinforcement

The present article constitutes an experimental investigation of the behavior of buried PVC pipes. A number of laboratory experiments were conducted using PVC pipes which were buried in a medium sand layer, below a subbase layer, reinforced with geocells. They were subject to repeated dynamic load amplitudes of 0.5 and 1 ton and loading frequencies of 0.5, 1 and 2 Hz, to study the effects of the geocell reinforcement layer, in terms of the amount of stress reaching the pipe crown and the vibration of the pipe. A 3D numerical model was also developed to investigate the performance of the geocell above the buried pipe. The predicted characteristics of the buried pipes were validated using the experimental data. The results showed that geocell reinforcement decreases both crown vibration by 35%, and the vertical pressure reaching the pipe by 41%. The numerical models have a good fit with the experimental work results, both confirming that geocell reinforcement has a significant role to play regarding increasing the safety of pipes.

scholarly journals The Effectiveness of Ensemble-Neural Network Techniques to Predict Peak Uplift Resistance of Buried Pipes in Reinforced Sand

2021 ◽  
Vol 11 (3) ◽  
pp. 908
Author(s):  
Jie Zeng ◽  
Panagiotis G. Asteris ◽  
Anna P. Mamou ◽  
Ahmed Salih Mohammed ◽  
Emmanuil A. Golias ◽  
...  
Keyword(s):  
Neural Network ◽  
Numerical Models ◽  
Correlation Coefficients ◽  
Network Models ◽  
Small Scale ◽  
Offshore Platforms ◽  
Neural Network Models ◽  
Buried Pipes ◽  
Ensemble Techniques ◽  
Uplift Resistance

Buried pipes are extensively used for oil transportation from offshore platforms. Under unfavorable loading combinations, the pipe’s uplift resistance may be exceeded, which may result in excessive deformations and significant disruptions. This paper presents findings from a series of small-scale tests performed on pipes buried in geogrid-reinforced sands, with the measured peak uplift resistance being used to calibrate advanced numerical models employing neural networks. Multilayer perceptron (MLP) and Radial Basis Function (RBF) primary structure types have been used to train two neural network models, which were then further developed using bagging and boosting ensemble techniques. Correlation coefficients in excess of 0.954 between the measured and predicted peak uplift resistance have been achieved. The results show that the design of pipelines can be significantly improved using the proposed novel, reliable and robust soft computing models.

scholarly journals Study on Surface Settlement of Water-Rich Sand Pebble Bed Shield Construction in Nanchang

2021 ◽  
Vol 719 (3) ◽  
pp. 032053
Author(s):  
Binbin Xie ◽  
Qingrui Lu ◽  
Shijun Chen ◽  
Ping Li ◽  
Xiaoyi Jiang ◽  
...  
Keyword(s):  
Surface Settlement ◽  
Pebble Bed
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