Title of article
Probabilistic Seismic Assessment and Fragility Curves for Fixed Pile- Founded Offshore Platforms
Author/Authors
Babaei, Samira Department of Civil Engineering - University of Qom, Qom, Iran , Amirabadi, Rouhollah Department of Civil Engineering - University of Qom, Qom, Iran , Sharifi, Mahdi Department of Civil Engineering - University of Qom, Qom, Iran
Pages
13
From page
50
To page
62
Abstract
Fixed pile-founded offshore platforms installed in the seismic-prone areas are
exposed to the risk of earthquake-induced disastrous failure and costly
operation interruption. Accordingly, the development of applied seismic
evaluation methodologies for these infrastructures is a matter of utmost
importance. In the context of performance-based earthquake engineering
(PBEE), probabilistic seismic assessments of fixed pile-founded offshore
platforms have been investigated, here. A three-dimensional (3D) finite
element model of a recently installed platform located in the South Pars Oil
and Gas field of the Persian Gulf has been made. Soil-pile-structure
interaction, as well as dynamic site response effects, has been considered.
Probabilistic seismic demand modeling (PSDM) has been employed to
manifest the efficient and sufficient ground motion intensity measures (IMs)
which can rigorously predict the structural engineering demand parameters
(EDPs). Derived from probabilistic seismic demand analysis (PSDA), the
superb results have been also evaluated by means of the predominantly used
method of incremental dynamic analysis (IDA). On the other hand, the drawn
findings contributed to representing the fragility curves of the fixed pile-
founded offshore platforms. The demonstrated results are highly
recommended to be considered in related research.
Keywords
Probabilistic Seismic Demand Model , Probabilistic Seismic Demand Analysis , Incremental Dynamic Analysis , Fragility Curve , Fixed Pile-founded Offshore , Platform
Journal title
International Journal of Coastal and Offshore Engineering
Serial Year
2022
Record number
2731623
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