Approximation of the maximum dynamic stress range in steel catenary risers using artificial neural networks

被引：10

作者：

Queau, Lucile M. ^{[1
]}

Kimiaei, Mehrdad ^{[1
]}

Randolph, Mark F. ^{[1
]}

机构：

[1] Univ Western Australia, Ctr Offshore Fdn Syst, Crawley, WA 6009, Australia

来源：

ENGINEERING STRUCTURES | 2015年 / 92卷

基金：

澳大利亚研究理事会;

关键词：

Steel catenary risers; Fatigue; Sensitivity analyses; Design of experiment; Artificial neural network; DAMAGE DETECTION; DESIGN;

D O I：

10.1016/j.engstruct.2015.02.025

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Adequate assessment of fatigue damage in steel catenary risers (SCRs) is essential, and usually evaluated with time consuming numerical analyses. Simplified design strategies would improve the efficiency of the screening tasks in the early design stages. As part of on-going research aiming to define a simplified fatigue design procedure for SCRs in the touchdown zone (TDZ), the sensitivity of fatigue damage to various parameters is explored using a large database (>40,000 cases). An approximation of the maximum stress range in the TDZ is established using several artificial neural networks and predicts well the fatigue life of selected example SCRs. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：172 / 185

页数：14

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