Managing Information Uncertainty in Wave Height Modeling for the Offshore Structural Analysis through Random Set
Joint Authors
Zhang, Yi
Zhou, Quan
Cheng, Tao
Luo, Xianfeng
Fang, Kun
Garg, Ankit
Garg, Akhil
Yan, Keqin
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-15
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Yan, Keqin& Zhang, Yi& Cheng, Tao& Luo, Xianfeng& Zhou, Quan& Fang, Kun…[et al.]. 2017. Managing Information Uncertainty in Wave Height Modeling for the Offshore Structural Analysis through Random Set. Complexity،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1143737
Modern Language Association (MLA)
Yan, Keqin…[et al.]. Managing Information Uncertainty in Wave Height Modeling for the Offshore Structural Analysis through Random Set. Complexity No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1143737
American Medical Association (AMA)
Yan, Keqin& Zhang, Yi& Cheng, Tao& Luo, Xianfeng& Zhou, Quan& Fang, Kun…[et al.]. Managing Information Uncertainty in Wave Height Modeling for the Offshore Structural Analysis through Random Set. Complexity. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1143737
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143737