eprintid: 7723
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/77/23
datestamp: 2023-11-09 16:19:32
lastmod: 2023-11-09 16:19:32
status_changed: 2023-11-09 16:10:15
type: conference_item
metadata_visibility: show
creators_name: Wahab, M.M.A.
creators_name: Kurian, V.J.
creators_name: Liew, M.S.
creators_name: Nizamani, Z.
creators_name: Kim, D.K.
title: Structural reliability analysis using quadratic polynomial response surface and finite element in MATLAB
ispublished: pub
keywords: Arctic engineering; Drilling platforms; Finite element method; Intelligent systems; MATLAB; Monte Carlo methods; Offshore oil wells; Safety engineering; Surface properties; Thermal barrier coatings, Approximation techniques; Computational routines; Finite element simulations; Finite-element approach; Limit state functions; Probabilistic analysis; Response surface methodology; Structural reliability analysis, Reliability analysis
note: cited By 1; Conference of ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2016 ; Conference Date: 19 June 2016 Through 24 June 2016; Conference Code:124522
abstract: Many aging jacket platforms are being pushed for continued use beyond their design life due to advancement in oil extracting technology and economic reasons. Thus reassessment to determine the platform safety is vital. But no exact guide on methods to assess the safety of the aging platforms is available. Hence, development of reliability analysis methodologies is an active research area. Meanwhile, reassessment deals with numerous uncertainties especially in the load and resistance variables of a jacket platform. Response Surface methodology, a limit state approximation technique was deployed by many in many engineering fields to apprehend inherent uncertainty. Hence in this work, a reliability analysis methodology that combines simple response surface and finite element approach in MATLAB is adopted. The approach assumes a physical transfer function utilizing explicit multivariate expressions and random variables. Also, this avoids large number of finite element simulation required for any probabilistic analysis. The methodology developed allows for reliability analysis to be performed based on easy to program procedures. It also addresses the platform and environmental specific uncertainty variables to distinguish the distinctive characteristics of the cases. Upon execution of multiple finite element simulations, response of components and systems are formulated using quadratic polynomial response surface expressions, which eventually are utilized in the limit state functions. Later using numerical techniques in a separate computational routine the reliability indices are estimated. Utilizing the developed method, component and system level reliability indices are obtained. The developed methodology also has been verified with method currently available in the practice as well as with typical simulation method i.e. Monte Carlo Simulation. Copyright © 2016 by ASME.
date: 2016
publisher: American Society of Mechanical Engineers (ASME)
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84996538803&doi=10.1115%2fOMAE2016-54543&partnerID=40&md5=609a8fcc7868e66e1471346f71e1e714
id_number: 10.1115/OMAE2016-54543
full_text_status: none
publication: Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE
volume: 3
refereed: TRUE
isbn: 9780791849941
citation:   Wahab, M.M.A. and Kurian, V.J. and Liew, M.S. and Nizamani, Z. and Kim, D.K.  (2016) Structural reliability analysis using quadratic polynomial response surface and finite element in MATLAB.  In: UNSPECIFIED.