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

Complexity

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

Philosophy

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