Extreme response predictions for jack-up units in second order stochastic waves by FORM

2006 ◽  
Vol 21 (4) ◽  
pp. 330-337 ◽  
Author(s):  
Jørgen Juncher Jensen ◽  
Julien Capul
Author(s):  
Jo̸rgen Juncher Jensen

The aim of the present paper is to advocate for a very effective stochastic procedure, based on the First Order Reliability Method (FORM), for extreme value predictions related to wave induced loads. All kinds of non-linearities can be included, as the procedure makes use of short time-domain simulations of the response in question. The procedure will be illustrated with a jack-up rig where second order stochastic waves are included in the analysis. The result is the probability of overturning as function of sea state and operational time.


1989 ◽  
Vol 2 (3-5) ◽  
pp. 305-334 ◽  
Author(s):  
H. Kjeøy ◽  
N.G. Bøe ◽  
T. Hysing

2003 ◽  
Vol 125 (4) ◽  
pp. 249-263 ◽  
Author(s):  
M. J. Cassidy ◽  
G. T. Houlsby ◽  
R. Eatock Taylor

There is a steadily increasing demand for the use of jack-up units in deeper water and harsher conditions. Confidence in their use in these environments requires jack-up analysis techniques to reflect accurately the physical processes occurring. However, nearly all analyses are deterministic in nature and do not account for the inherent variability in governing parameters and models. In this paper, probabilistic models are used to develop an understanding of the response behavior of jack-ups, with particular emphasis placed on the extreme deck displacement due to a short-term event. Variables within the structural, foundation and wave loading models are assigned probability distributions and their influence on the response statistics is quantified using a response surface methodology.


1996 ◽  
Vol 118 (2) ◽  
pp. 109-114 ◽  
Author(s):  
L. Manuel ◽  
C. A. Cornell

A study is conducted of the response of a jack-up rig to random wave loading. Steady current and wind load effects are also included. The effects of varying the relative motion assumption (in the Morison equation) and of varying the bottom fixity assumptions are investigated. One “fixity” model employs nonlinear soil springs. Time domain simulations are performed using linearized as well as fully nonlinear models for the jack-up rig. Comparisons of response statistics are made for two seastates. Hydrodynamic damping causes the rms response to be lower in the relative Morison case. The absence of this source of damping in the absolute Morison force model gives rise to larger resonance/dynamic effects—this tends to “Gaussianize” the response. Hence, the relative Morison model leads to stronger non-Gaussian behavior than the absolute Morison model. This is reflected in moments as well as extremes. The different support conditions studied are seen to significantly influence extreme response estimates. In general, stiffer models predict smaller rms response estimates, but also exhibit stronger non-Gaussian behavior. The choice of the Morison force modeling assumption (i.e., the relative versus the absolute motion formulation) is seen to have at least a secondary role in influencing response moments and extremes.


Author(s):  
Yahui Zhang ◽  
Robin S. Langley

An expression for the probability density function of the second order response of a general FPSO in spreading seas is derived by using the Kac-Siegert approach. Various approximations of the second order force transfer functions are investigated for a ship-shaped FPSO. It is found that, when expressed in non-dimensional form, the probability density function of the response is not particularly sensitive to wave spreading, although the mean squared response and the resulting dimensional extreme values can be sensitive. The analysis is then applied to a Sevan FPSO, which is a large cylindrical buoy-like structure. The second order force transfer functions are derived by using an efficient semi-analytical hydrodynamic approach, and these are then employed to yield the extreme response. However, a significant effect of wave spreading on the statistics for a Sevan FPSO is found even in non-dimensional form. It implies that the exact statistics of a general ship-shaped FPSO may be sensitive to the wave direction, which needs to be verified in future work. It is also pointed out that the Newman’s approximation regarding the frequency dependency of force transfer function is acceptable even for the spreading seas. An improvement on the results may be attained when considering the angular dependency exactly.


2002 ◽  
Vol 29 (13) ◽  
pp. 1603-1631 ◽  
Author(s):  
M.J. Cassidy ◽  
P.H. Taylor ◽  
R. Eatock Taylor ◽  
G.T. Houlsby
Keyword(s):  

1990 ◽  
Vol 3 (6) ◽  
pp. 461-493 ◽  
Author(s):  
B.J. Leira ◽  
D. Karunakara ◽  
H. Nordal

2020 ◽  
Vol 142 (4) ◽  
Author(s):  
Dong-Hyun Lim ◽  
Yonghwan Kim

Abstract The present study compares the statistical analysis methods for nonlinear hydrodynamic responses in offshore engineering. In particular, the Kac–Siegert and Hermite-moment methods were compared for estimating the probability distribution of the second-order responses represented via the two-term Volterra series. The Kac–Siegert method analytically formulates the probability density function (PDF) of the second-order Volterra series using an eigenvalue problem constructed with the frequency-domain transfer functions and the wave spectrum, whereas the Hermite-moment method utilizes the statistical moments to determine the coefficients of the fitting function. In addition, the probability distribution of the peak values in the second-order Volterra series with high spectral bandwidth was derived explicitly. The fatigue damage rate and the extreme response were estimated analytically. The accuracy and applicability of each method were investigated by comparing the methods with the results of the direct sampling obtained from the time series.


Author(s):  
Azadeh Jafari ◽  
Behrouz Asgarian ◽  
Mohammad Daghigh

The demand for operation of mobile jack-up drilling rigs in offshore industry is increasing. Extreme response of jack-up platforms in sea environment requires improving the understanding of their nonlinear behavior. A sample jack-up platform located in Persian Gulf is modeled using three dimensional capabilities of USFOS considering both geometric and material nonlinearity. USFOS is a numerical tool for ultimate strength and progressive collapse analysis at frame structures such as jack-up platforms. Results of the analysis for the sample jack-up subjected to storm load pattern are compared for three different foundation modeling cases (pinned, fixed and spudcan modeling of foundation). Static pushover analysis is performed to determined jack-up behavior assuming different cases for fixity of foundation. It is observed that modeling of exact foundation by a simplified pinned model underestimates ultimate lateral strength of jack-up. A fixed based modeling overestimates lateral ultimate strength of the platform.


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