Fatigue Analysis of Copper Conductor for Offshore Wind Turbines by Experimental and FE Method

Nasution, Fachri P.; Sævik, Svein; Gjøsteen, Janne K.Ø.

doi:10.1016/j.egypro.2012.06.109

Cited by 19 publications

(9 citation statements)

References 5 publications

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“…With an accurate model of the physical behaviour of a system it is possible to perform accurate simulations to study the degradation behaviour on a specific component or a system. Within the identified studies of physics-based models there are fatigue and crack propagation models for mechanical and structural components [102,152]. With the computational power rising over the last decades, the use of finite element methods has increased for damage propagation and failure prediction, some identified examples are [83] on a rotor cage and [85] on solenoid valves.…”

Section: Physics-based Modelsmentioning

confidence: 99%

Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics

Jimenez

Schwartz

Vingerhoeds

et al. 2020

Journal of Manufacturing Systems

176

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The use of a modern technological system requires a good engineering approach, optimized operations, and proper maintenance in order to keep the system in an optimal state. Predictive maintenance focuses on the organization of maintenance actions according to the actual health state of the system, aiming at giving a precise indication of when a maintenance intervention will be necessary. Predictive maintenance is normally implemented by means of specialized computational systems that incorporate one of several models to fulfil diagnostics and prognostics tasks. As complexity of technological systems increases over time, single-model approaches hardly fulfil all functions and objectives for predictive maintenance systems. It is increasingly common to find research studies that combine different models in multi-model approaches to overcome complexity of predictive maintenance tasks, considering the advantages and disadvantages of each single model and trying to combine the best of them. These multi-model approaches have not been extensively addressed by previous review studies on predictive maintenance. Besides, many of the possible combinations for multi-model approaches remain unexplored in predictive maintenance applications; this offers a vast field of opportunities when architecting new predictive maintenance systems. This systematic survey aims at presenting the current trends in diagnostics and prognostics giving special attention to multi-model approaches and summarizing the current challenges and research opportunities.

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Section: Physics-based Modelsmentioning

confidence: 99%

Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics

Jimenez

Schwartz

Vingerhoeds

et al. 2020

Journal of Manufacturing Systems

176

View full text Add to dashboard Cite

show abstract

“…For the simulations in this paper, a typical cross-section of the electrical cable was utilized, with a single layer of galvanized steel armor wires and extruded cross-linked polyethylene (XLPE) isolators. The mechanical characteristics of the cable were assumed from the literature [6], [27]. The values for the diameter, weight and strength are shown in Figure 4, with reference to Figure 1; the linear and non-linear elastic modules E and E' and the yielding stress σy were equal to 128 GPa, 6.4 GPa and 350 MPa, respectively.…”

Section: Case Studymentioning

confidence: 99%

“…A relatively new application area for marine power cable elements is floating offshore wind turbines (FOWTs) [6] and farms. In fact, wind energy has become one of the most important renewable energy sources in recent decades.…”

Section: Introductionmentioning

confidence: 99%

Fatigue Life Assessment for Power Cables in Floating Offshore Wind Turbines

et al. 2020

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In this paper, a procedure is proposed to determine the fatigue life of the electrical cable connected to a 5 MW floating offshore wind turbine, supported by a spar-buoy at a water depth of 320 m, by using a numerical approach that takes into account site-specific wave and wind characteristics. The effect of the intensity and the simultaneous actions of waves and wind are investigated and the outcomes for specific cable configurations are shown. Finally, the fatigue life of the cable is evaluated. All analyses have been carried out using the Ansys AQWA computational code, which is a commercial code for the numerical investigation of the dynamic response of floating and fixed marine structures under the combined action of wind, waves and current. Furthermore, this paper applies the FAST NREL numerical code for comparison with the ANSYS AQWA results.

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“…The curvature limit of C3 comes from manufacturer's data. C4 elongation threshold is the same as [27]. Finally, C5 and C6 aim to prevent the cable from touching the sea floor, and the buoyancy modules from emerging from the water, respectively.…”

Section: Power Cable Configuration Optimization Problemmentioning

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

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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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Fatigue Analysis of Copper Conductor for Offshore Wind Turbines by Experimental and FE Method

Cited by 19 publications

References 5 publications

Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics

Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics

Fatigue Life Assessment for Power Cables in Floating Offshore Wind Turbines

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

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