Reliability analysis of mooring dolphin structures

Reda Farag, Mahmoud El-Meligy, Achintya Haldar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

A mooring dolphin structures (MDS), consisting of steel-pipe-piles and soil around them, are important elements of marine structures. The reliability analysis of such complicated systems is very challenging. The limit state functions for them are implicit in nature. Reliability evaluation using the classical Monte Carlo simulation technique may not be practical since each deterministic evaluation will require several hours of computer time. A new hybrid method is presented in this paper. The system is represented by finite elements and its reliability is estimated by intelligently integrating the stochastic finite element, response surface methods, and advanced factorial schemes. The procedure is verified with the help of an example.

Original languageEnglish (US)
Title of host publicationVulnerability, Uncertainty, and Risk
Subtitle of host publicationAnalysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences
Pages914-921
Number of pages8
DOIs
StatePublished - Jun 13 2011
EventInternational Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2011 and the International Symposium on Uncertainty Modeling and Analysis, ISUMA 2011 - Hyattsville, MD, United States
Duration: Apr 11 2011Apr 13 2011

Publication series

NameVulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences

Other

OtherInternational Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2011 and the International Symposium on Uncertainty Modeling and Analysis, ISUMA 2011
CountryUnited States
CityHyattsville, MD
Period4/11/114/13/11

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality

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    Farag, R., El-Meligy, M., & Haldar, A. (2011). Reliability analysis of mooring dolphin structures. In Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences (pp. 914-921). (Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences). https://doi.org/10.1061/41170(400)111