Probabilistic Lateral Buckling Assessment
Publish Date: 17th June 2014
Author: Carlos Sicilia, Emilien Bonnet, Philip Cooper
Conference: ISOPE 2014
This paper presents a probabilistic method to assess the lateral buckling response of a pipeline. The method is based on a Monte Carlo simulation in which the lateral buckling response is predicted using a surrogate model that uses artificial neural networks calibrated from non-linear FE analyses. The method presented intends to improve on current industry best practice by directly considering the limit states relevant to global buckling to produce designs with consistent levels of reliability.