Festigkeitsanalyse dynamisch beanspruchter Offshore-Konstruktionen

Hapel, Karl-Heinz

doi:10.1007/978-3-663-14124-2

Cited by 34 publications

(9 citation statements)

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“…The natural frequency f E of the test cylinder is chosen as the cut-off frequency f cut . The natural frequency varies for the test conditions when the length of the pile and the water depth are changed, but differs only slightly from the peak frequency of the dynamic part, if the damping is small (Hapel 1990). With this definition the cut-off frequency can be estimated from the force measurement itself.…”

Section: Used Methods To Estimate the Quasi -Static Forcementioning

confidence: 99%

Breaking Wave Loads on a Slender Pile in Shallow Water

Irschik¹,

Sparboom²,

Oumeraci³

2005

Coastal Engineering 2004

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The load of breaking waves distinguishes from the impact of non -breaking waves in the superposition of an additional, transient force of short duration. A simple method is presented to decompose the quasi -static force, the periodic part of the total measured force, and the dynamic component, which is the response of the cylinder due to the additional impact. The method is verified with large-scale model tests. The tests were carried out in the Large Wave Channel (GWK) with a slender, vertical and inclined cylindrical pile located at the end of a 1:10 slope. Finally the impact and the curling factor λ, an empirical coefficient to calculate the height of the impact area, is determined and compared to published data from laboratory deep water experiments.

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Section: Used Methods To Estimate the Quasi -Static Forcementioning

confidence: 99%

Breaking Wave Loads on a Slender Pile in Shallow Water

Irschik¹,

Sparboom²,

Oumeraci³

2005

Coastal Engineering 2004

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“…Details for a frequency domain based approach can for example be found in Refs. [1,10,20]. For each H s -T p combination in the SCD a number of irregular wave time series is established.…”

Section: Unit Damage Matrixmentioning

confidence: 99%

Damage equivalent wind–wave correlations on basis of damage contour lines for the fatigue design of offshore wind turbines

Passon

2015

Renewable Energy

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a b s t r a c tAn adequate representation of the site-specific windewave joint distribution is essential for costefficient and reliable designs of offshore wind turbines. Therefore, the wind and wave climates are subjected to a correlation of wind and wave parameters for design purposes. These correlations are often based on a lumping of the directional wave climate and subsequent association of the lumped wave climate to the directional wind climate. Preservation of the hydrodynamic fatigue distribution from the full wave climate is an important aspect in the wind-wave correlation process which requires an adequate consideration of the dynamics from the offshore wind turbine. However, only a few wind-wave correlation methods exist for the fatigue design of offshore wind turbines and none of them take the dynamics of the full structure adequately into account. In this study a new wind-wave correlation method has been developed and introduced. The new method is based on the establishment of damage contour lines which are used to determine the sea-state parameters that ensure simultaneous compliance with damage equivalency criterions at different locations within the offshore wind turbine. This simultaneous damage equivalency throughout the structure together with the straightforward derivation of the corresponding damage equivalent sea-state parameters constitutes the novelty of the presented wind-wave correlation method.

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“…The wind speed on the desired tower height of wind turbine can be defined as the following equation [13];…”

Section: Formulation Of the Problemmentioning

confidence: 99%

“…In this study, annual average wind speed that isn't measured on the desired tower height of wind turbine is predicted by Artificial Neural Networks (ANN) and the findings of the ANN are compared to those of the conventional approach. The analyses are carried out using most commonly measured average wind speed at 10 m and 30 m [13][14]. The ANN used in this study consists of four input parameters; therefore the annual average wind speed is predicted depending on four variables.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Height Affect on Average Wind Speed by ANN

Ata

Çetin

2011

MCA

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Abstract-The power generated by wind turbines depends on several factors. Two of them are the wind speed and the tower height of wind turbine. In this study, the annual average wind speed based on the tower height is predicted using Artificial Neural Networks (ANN) and comparisons made with conventional model approach. The backpropagation multi layer ANNs were used to estimate annual average wind speed for three locations in Turkey. The Model has been developed with the help of neural network methodology. It involves four input variables-wind speed of measured location, desired height on measured location, height above ground level of measured location and Hellmann coefficient and one output variables-annual average wind speed. The model accuracy is evaluated by comparing the conventional model results with the actual measured and calculated values.

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Festigkeitsanalyse dynamisch beanspruchter Offshore-Konstruktionen

Cited by 34 publications

References 0 publications

Breaking Wave Loads on a Slender Pile in Shallow Water

Breaking Wave Loads on a Slender Pile in Shallow Water

Damage equivalent wind–wave correlations on basis of damage contour lines for the fatigue design of offshore wind turbines

Analysis of Height Affect on Average Wind Speed by ANN

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