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Buckling uncertainty analysis for steel pipelines buried in elastic soil using FOSM and MCS methods

Buckling uncertainty analysis for steel pipelines buried in elastic soil using FOSM and MCS methods

Athmani, Allaeddine, Khemis, Asma, Hacene-Chaouche, Abdelmadjid, Tee, Kong Fah ORCID: 0000-0003-3202-873X, Ferreira, Tiago Miguel and Vicente, Romeu (2018) Buckling uncertainty analysis for steel pipelines buried in elastic soil using FOSM and MCS methods. International Journal of Steel Structures, 19 (2). pp. 381-397. ISSN 1598-2351 (Print), 2093-6311 (Online) (doi:https://doi.org/10.1007/s13296-018-0126-7)

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Abstract

Generally, buried steel pipes are designed for good transverse behavior by neglecting soil–structure interaction effect. Steel pipelines are also usually designed to prevent from the important failure mode of buckling. However, the design of this type of structures does not normally consider the uncertainties in soil and structural properties. To address the above issues, the paper estimates the uncertainties in terms of the coefficient of variation of critical buckling displacement, CVw using subgrade reaction theory (Winkler model) and first-order second-moment (FOSM) method. Two cases of boundary conditions have been considered in this study. In the first case, CVw is calculated within an infinitely thick soil as a function of uncertainty of subgrade reaction modulus (Ks). In the second case, CVw is calculated in a thick soil cylinder as a function of the uncertainty of the effective subgrade reaction modulus (K′S). Furthermore, the uncertainty of pipe flexibility (Sf) is also taken into account in the two cases. Uncertainty calculations by the FOSM method are then validated with those obtained from traditional Monte Carlo simulations.

Item Type: Article
Uncontrolled Keywords: Soil–structure interaction; Buried steel pipes; Buckling; Critical displacement; Uncertainty; Subgrade reaction modulus; pipe flexibility; Global uncertainty
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Engineering Science
Last Modified: 29 Apr 2019 14:31
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/23185

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