Paper Info
Title
Managing Information Uncertainty in Wave Height Modeling for the Offshore Structural Analysis through Random Set.
Abstract
This chapter presents a reliability study for an offshore jacket structure with emphasis on the features of nonconventional modeling. Firstly, a random set model is formulated for modeling the random waves in an ocean site. Then, a jacket structure is investigated in a pushover analysis to identify the critical wave direction and key structural elements. This is based on the ultimate base shear strength. The selected probabilistic models are adopted for the important structural members and the wave direction is specified in the weakest direction of the structure for a conservative safety analysis. The wave height model is processed in a P-box format when it is used in the numerical analysis. The models are applied to find the bounds of the failure probabilities for the jacket structure. The propagation of this wave model to the uncertainty in results is investigated in both an interval analysis and Monte Carlo simulation. The results are compared in context of information content and numerical accuracy. Further, the failure probability bounds are compared with the conventional probabilistic approach.
Year
DOI
Venue
2017
10.1155/2017/9546272
COMPLEXITY
Field
DocType
Volume
Wave model,Monte Carlo method,Shear strength,Control theory,Simulation,Probabilistic logic,Wave height,Interval arithmetic,Numerical analysis,Mathematics,Structural engineering,Submarine pipeline
Journal
2017
ISSN
Citations 
PageRank 
1076-2787
0
0.34
References 
Authors
2
8
Name
Order
Citations
PageRank
Keqin Yan100.34
Yi Zhang213.09
Tao Cheng300.34
Xianfeng Luo400.34
Quan Zhou53216.72
Kun Fang600.34
Ankit Garg712516.19
A. Garg8538.22