Offshore pipeline performance evaluation by different artificial neural networks approaches

Author:

Nazari Ali,Rajeev Pathmanathan,Sanjayan Jay G.

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference18 articles.

1. Propagation buckling in deep sub-sea pipelines;Albermani;Eng. Struct.,2011

2. M.F. Bransby, T.A. Newson, M.C.R. Davies, P. Brunning, Physical modelling of the upheaval resistance of buried offshore pipelines, in: 4th International Conference on Physical Modelling in Geomechanics, St. Johns:[sn], 2002, pp. 899–904.

3. Soil restraint on buckling oil and gas pipelines buried in lumpy clay fill;Cheuk;Eng. Struct.,2007

4. C.Y. Cheuk, D.J. White, M.D. Bolton, Deformation mechanisms during the uplift of buried pipelines in sand, in: Proc. XVIth Int. Conf. Soil Mech. & Geotech. Engng., Osaka vol. 2, 2005, pp. 1685–1688.

5. Artificial neural network models for predicting condition of offshore oil and gas pipelines;El-Abbasy;Autom. Constr.,2014

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