Metamodel approach for reliability-based design optimization of a steel catenary riser

Yang, Hezhen; Zheng, Wenqing

doi:10.1007/s00773-011-0121-6

Cited by 24 publications

(11 citation statements)

References 17 publications

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“…There are various types of metamodels, including Kriging models, polynomial regression models, local polynomial regression, multivariate spline and wavelets, Bayesian methods, and neural networks (Fang et al, 2006). Yang and Zheng (2011) concluded that the Kriging metamodel is more accurate than the polynomial for nonlinear riser stress-related problems. Accordingly, we use the Kriging metamodel computed by means of the ooDACE Matlab toolbox (Ulaganathan et al, 2015).…”

Section: Metamodel Selection and Computationmentioning

confidence: 99%

“…First, we propose a dynamic analysis-based method in which the load distribution is estimated from the selection of a relatively few scenarios; we take as reference a previous paper in which loads were estimated for other marine structures (Paik et al, 2015). In order to improve the upper tail of the distribution, we use a second approach so called metamodel-based method that has already been applied to investigate loads on risers (Farnes and Moan, 1993;Yang and Zheng, 2011). The novel aspect of this study is that we account for the load reduction during riser disconnection mode in non-permanent systems.…”

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confidence: 99%

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On the probabilistic distribution of loads on a marine riser

Cabrera-Miranda

Paik

2017

Ocean Engineering

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While in service, marine risers are subjected to various types of loads, such as axial tension and bending moments arising from waves, winds, and currents in association with the motions of the offshore platform. They are also subjected to internal and external pressure loads caused by internal flows and external water pressure. The characteristics of the loads on a marine riser are essentially probabilistic in nature, as they involve several uncertainties associated with random variables. The aim of this study is to quantify the probabilistic distribution of loads on a marine riser to aid determination of the nominal values of design loads. Two methods are investigated. The first is to select a set of credible scenarios in association with site-specific metocean data on an offshore platform, and then perform dynamic riser analysis to describe the probabilistic distribution of the loads. The second is to calculate a metamodel to predict the loads as a function of multiple input variables, a method that can also characterize the probabilistic load distribution by running a Monte Carlo simulation. Both approaches are compared via a numerical example of a marine drilling riser in ultra-deep water; the results show that metamodel-based method is the most appropriate to describe neatly the loads at low probability of exceedance. The characteristics of the loads on a marine riser are observed to be highly random and significantly affected by environmental and functional conditions. Hence, the design loads must be determined by considering the marginal probabilistic density function of all such parameters.

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Section: Metamodel Selection and Computationmentioning

confidence: 99%

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confidence: 99%

On the probabilistic distribution of loads on a marine riser

Cabrera-Miranda

Paik

2017

Ocean Engineering

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“…The pipe will sink into this clay and might be buried over time. It is important to properly model riser-soil interaction effects [14]. The riser-seabed vertical interaction ( Figure 1) is described by a nonlinear soil stiffness representing the interaction force per indentation depth per riser length.…”

Section: Soil-riser Interactionmentioning

confidence: 99%

Sensitivity analysis of fatigue life prediction for deepwater steel lazy wave catenary risers

2011

Sci. China Technol. Sci.

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Steel lazy wave catenary riser (SLWR) has been an attractive choice for deepwater oil field developments. However, fatigue is a critical issue in assessing the feasibility of applying SLWR to large motion vessels such as floating production storage and offloading (FPSO) or semi-submersibles. In this work, the time-domain fatigue analysis of SLWR was adopted for better representing the structural nonlinearity, fluid load nonlinearity and riser-soil nonlinear interaction. The Palmgren-Miner rule was employed for the fatigue life prediction along the riser length. The main purpose of this analysis is to present sensitivity analyses of SLWR fatigue life under various input parameters, which include the structural damping, the hydrodynamic coefficients along the riser, the seabed stiffness, the vessel motions, etc. The analyses indicated the strong dependence of the riser fatigue life on these parameters. The results can help designers to understand the dynamic behavior of the SLWR and provide guidance for selection of some critical parameters that are used in the fatigue design. catenary risers, fatigue life, time-domain analysis, nonlinear dynamic analysis, finite element method Citation: Yang H Z, Li H J. Sensitivity analysis of fatigue life prediction for deepwater steel lazy wave catenary risers.

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“…Yang and Zheng studied design of steel catenary riser under dynamic environmental loads using a reliability based design optimization methodology (Yang and Zheng., 2011). Larsen and Hanson performed optimal design of catenary riser with respect to criterial function, design requirements in terms of maximum allowable stress and buckling capacity (Larsen and Hanson, 1999).…”

Section: Introductionmentioning

confidence: 99%