The effectiveness of ensemble-neural network techniques to predict peak uplift resistance of buried pipes in reinforced sand

• Main Authors: Zeng, Jie, Asteris, Panagiotis G., Mamou, Anna P., Mohammed, Ahmed Salih, Golias, Emmanuil A., Armaghani, Danial Jahed, Faizi, Koohyar, Hasanipanah, Mahdi
• Format: Article
• Language: English
• Published: MDPI 2021
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/25879/1/25879.pdf; http://eprints.um.edu.my/25879/; https://doi.org/10.3390/app11030908

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 te...