RMS-3: A Systems Reliability Case Study of an Eight-leg Jacket Platform
Year: 2024
Type: article
Abstract: This report describes a systems reliability analysis of an idealized eight-leg, steel-frame offshore jacket platform located in 140-ft of water, and designed for a 100-year return period wave. The reliability of the steel-frame structural system (excluding piling) under gravity and extreme wave loads was estimated using a structural systems reliability analysis procedure developed at Stanford University /1/. Wave loads and member resistances were treated as random variables, and reliability calculations were performed using first-order reliability methods. Reliability analyses were conducted to study the effect of using X-bracing versus K-bracing in the principal load-carrying bents, the effect of wave load variability, the decrease in reliability under damaged conditions (simulated by removing selected frame members), and the adequacy of horizontal bracing to transfer loads among the frame bents. The results reported herein are to some degree sensitive to simplifications made in modelling the post-failure behaviour of structural members. In particular, the compressive braces are treated in a conservative manner. Also, the jacket structure used in this study is a highly idealized design. Consequently, the analytical results of this study should be viewed as more qualitative than quantitative, and the conclusions cannot be directly generalized to real structures. On the other hand, the report illustrates the kinds of studies and comparisons that are possible using systems reliability. The measures of structural redundancy and robustness introduced in this report can be used when comparing the structural reliability characteristics of alternative steel-frame platform designs.
Source: Stanford Digital Repository
DOI: 10.25740/mm941wz3007
Authors: Nordal, Harald, Cornell, C. Allin, Karamchandani, Ashish
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6889746366
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