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Journal ArticleDOI

Application of system identification techniques in efficient modelling of offshore structural response. Part I: Model development

G. Najafian
- 01 Feb 2007 - 
- Vol. 29, Iss: 1, pp 17-36
TLDR
In this paper, the response of an offshore structure exposed to Morison wave loading can be approximated by an equivalent finite-memory nonlinear system, which can then be used to determine the probability distribution of response extreme values with great efficiency.
About
This article is published in Applied Ocean Research.The article was published on 2007-02-01. It has received 23 citations till now. The article focuses on the topics: Wave loading & Extreme value theory.

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Citations
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Journal ArticleDOI

Endurance Wave Analysis (EWA) and its application for assessment of offshore structures under extreme waves

TL;DR: In this article, a novel approach, called Endurance Wave Analysis (EWA), is introduced for non-linear dynamic analysis and assessment of offshore structures subjected to irregular wave forces, which is an extension of the Endurance Time Analysis (ETA) already presented by previous researchers for the seismic assessment of onshore structures.
Journal ArticleDOI

Time series prediction of mooring line top tension by the NARX and Volterra model

TL;DR: In this article, a nonlinear autoregressive with an exogenous input (NARX) technique was introduced with a finite nonlinear memory length to predict the top-tension of a mooring line of the box-type floating production storage and offloading (FPSO).
Journal ArticleDOI

Comparison of three different methods of moments for derivation of probability distribution parameters

TL;DR: In this article, the authors compare the efficiency of the conventional method of moments with two alternative forms of the method, i.e., linear and low-order methods of moments.
Journal ArticleDOI

Finite memory quadratic Volterra model for the response prediction of a slender marine structure under a Morison load

TL;DR: In this paper, a nonlinear autoregressive with exogenous input (NARX) technique was used to predict the nonlinear dynamic response of a 2-dimentional free standing catenary riser exposed to a random ocean wave load.
Journal ArticleDOI

Substructural identification of jack-up platform in time and frequency domains

TL;DR: In this paper, the use of substructural identification and genetic algorithms is explored to address these challenges with focus on offshore jack-up platforms, where both time domain identification and frequency domain identification are both studied for better solutions.
References
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Book

Principal Component Analysis

TL;DR: In this article, the authors present a graphical representation of data using Principal Component Analysis (PCA) for time series and other non-independent data, as well as a generalization and adaptation of principal component analysis.
Reference EntryDOI

Principal Component Analysis

TL;DR: Principal component analysis (PCA) as discussed by the authors replaces the p original variables by a smaller number, q, of derived variables, the principal components, which are linear combinations of the original variables.
Book

RANDOM DATA Analysis and Measurement Procedures

TL;DR: A revised and expanded edition of this classic reference/text, covering the latest techniques for the analysis and measurement of stationary and nonstationary random data passing through physical systems, is presented in this article.
Journal ArticleDOI

Mathematical analysis of random noise

TL;DR: In this paper, the authors used the representations of the noise currents given in Section 2.8 to derive some statistical properties of I(t) and its zeros and maxima.

Dynamics of structures

TL;DR: In this article, a single-degree-of-freedom (SDF) dynamic system is considered, and the effect of different degrees of freedom on the dynamics of the system is investigated.
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