Compliant vertical access riser assessment: DOE analysis and dynamic response optimization

Martins, Michele A. L.; Lages, Eduardo Nobre; Silveira, Eduardo S. S.

doi:10.1016/j.apor.2013.02.002

Cited by 17 publications

(4 citation statements)

References 18 publications

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“…Because of the six nonlinear constraints, the feasible set is not convex in the parameter space, and the algorithm must faces the difficulty of local minima. To overcome this difficulty one can use a global optimization algorithm like in [8] and [9]. It is however difficult to control the stopping criteria and thus the computational time of such an algorithm.…”

Section: Figure 7 : First Order (Light Blue) and Total (Blue) Effectsmentioning

confidence: 99%

“…Automated optimization remains still new in the design process of offshore structures. Nevertheless, the global energy economic context and the emergence of new technologies for renewable marine energy sources lead the engineers to develop and use optimization tools, see for example the pioneering work of [7] on the hydrodynamic shape optimization of large offshore floating structures for oil and gas production, and more recently [8] and [9] on the optimization of oil and gas risers and umbilicals.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Optimization Method for the Configuration of Inter Array Cables for Floating Offshore Wind Farm

Poirette

Guiton

Huwart

et al. 2017

Volume 10: Ocean Renewable Energy

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IFP Energies nouvelles (IFPEN) is involved for many years in various projects for the development of floating offshore wind turbines. The commercial deployment of such technologies is planned for 2020. The present paper proposes a methodology for the numerical optimization of the inter array cable configuration. To illustrate the potential of such an optimization, results are presented for a case study with a specific floating foundation concept [1]. The optimization study performed aims to define the least expensive configuration satisfying mechanical constraints under extreme environmental conditions. The parameters to be optimized are the total length, the armoring, the stiffener geometry and the buoyancy modules. The insulated electrical conductors and overall sheath are not concerned by this optimization. The simulations are carried out using DeepLines™, a Finite Element software dedicated to simulate offshore floating structures in their marine environment. The optimization problem is solved using an IFPEN in-house tool, which integrates a state of the art derivative-free trust region optimization method extended to nonlinear constrained problems. The latter functionality is essential for this type of optimization problem where nonlinear constraints are introduced such as maximum tension, no compression, maximum curvature and elongation, and the aero-hydrodynamic simulation solver does not provide any gradient information. The optimization tool is able to find various local feasible extrema thanks to a multi-start approach, which leads to several solutions of the cable configuration. The sensitivity to the choice of the initial point is demonstrated, illustrating the complexity of the feasible domain and the resulting difficulty in finding the global optimum configuration.

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Section: Figure 7 : First Order (Light Blue) and Total (Blue) Effectsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Optimization Method for the Configuration of Inter Array Cables for Floating Offshore Wind Farm

Poirette

Guiton

Huwart

et al. 2017

Volume 10: Ocean Renewable Energy

View full text Add to dashboard Cite

show abstract

“…Previous works have already recognized [6][7][8] that the task of selecting a route with good performance and low cost could be automated by devising its formal description as a synthesis and optimization problem and building a computational tool based on evolutionary algorithms (EAs). Such algorithms have been successfully used in many complex engineering problems and have been shown to be useful for the optimization of offshore engineering problems [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of Submarine Pipelines by a Genetic Algorithm with Embedded On-Bottom Stability Criteria

Baioco

Lima

Albrecht

et al. 2018

Mathematical Problems in Engineering

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This work describes a computational tool, based on an evolutionary algorithm, for the synthesis and optimization of submarine pipeline routes considering the incorporation of on-bottom stability criteria (OBS). This comprises a breakthrough in the traditional pipeline design methodology, where the definition of a route and the stability calculations had been performed independently: firstly, the route is defined according to geographical-topographical issues (including manual/visual inspection of seabed bathymetry and obstacles); afterwards, stability is verified, and mitigating procedures (such as ballast weight) are specified. This might require several design spirals until a final configuration is reached, or (most commonly) has led to excessive costs for the mitigation of instability problems. The optimization tool evaluates each candidate route by incorporating, as soft and hard constraints, several criteria usually considered in the manual design (pipeline length, bathymetry data, obstacles); also, with the incorporation of OBS criteria into the objective function, stability becomes an integral part of the optimization process, simultaneously handling minimization of length and cost of mitigating procedures. Case studies representative of actual applications are presented. The results show that OBS criteria significantly influences the best route, indicating that the tool can reduce the design time of a pipeline and minimize installation/operational costs.

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“…The traditional and expensive build and test paradigm has been replaced by the more advanced and flexible simulationbased design (SBD) approach, which integrates computer simulations, design modification methods, and possibly optimization algorithms [1][2][3][4]. In SBD, an inverse problem is solved, providing as result the design that maximizes the performance and/or minimizes the cost (objective function), given a set of design specifications (constraint functions).…”

Section: Introductionmentioning

confidence: 99%

Ship hydrodynamic optimization by local hybridization of deterministic derivative-free global algorithms

Serani

Fasano

Liuzzi³

et al. 2016

Applied Ocean Research

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a b s t r a c tSimulation-based design optimization methods integrate computer simulations, design modification tools, and optimization algorithms. In hydrodynamic applications, often objective functions are computationally expensive and noisy, their derivatives are not directly provided, and the existence of local minima cannot be excluded a priori, which motivates the use of deterministic derivative-free global optimization algorithms. The enhancement of two algorithms of this type, DIRECT (DIviding RECTangles) and DPSO (Deterministic Particle Swarm Optimization), is presented based on global/local hybridization with derivative-free line search methods. The hull-form optimization of the DTMB 5415 model is solved for the reduction of the calm-water resistance at Fr = 0.25, using potential flow and RANS solvers. Six and eleven design variables are used respectively, modifying both the hull and the sonar dome. Hybrid algorithms show a faster convergence towards the global minimum than the original global methods and are a viable option for ship hydrodynamic optimization. A significant resistance reduction is achieved both by potential flow and RANS-based optimizations, showing the effectiveness of the optimization procedure.

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Compliant vertical access riser assessment: DOE analysis and dynamic response optimization

Cited by 17 publications

References 18 publications

An Optimization Method for the Configuration of Inter Array Cables for Floating Offshore Wind Farm

An Optimization Method for the Configuration of Inter Array Cables for Floating Offshore Wind Farm

Optimal Design of Submarine Pipelines by a Genetic Algorithm with Embedded On-Bottom Stability Criteria

Ship hydrodynamic optimization by local hybridization of deterministic derivative-free global algorithms

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