| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
De Jesus, Abílio M. P.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (12/12 displayed)
- 2023A Predictive Methodology for Temperature, Heat Generation and Transfer in Gigacycle Fatigue Testingcitations
- 2023Experimental parametric investigation on the behavior of adhesively bonded CFRP/steel jointscitations
- 2022Fatigue crack growth modelling by means of the strain energy density-based Huffman model considering the residual stress effectcitations
- 2022Fracture Characterization of Hybrid Bonded Joints (CFRP/Steel) for Pure Mode Icitations
- 2022Automation of Property Acquisition of Single Track Depositions Manufactured through Direct Energy Depositioncitations
- 2022A review of fatigue damage assessment in offshore wind turbine support structurecitations
- 2022Tensile Properties of As-Built 18Ni300 Maraging Steel Produced by DEDcitations
- 2021Probabilistic S-N curves for CFRP retrofitted steel detailscitations
- 2021Low-cycle fatigue modelling supported by strain energy density-based Huffman model considering the variability of dislocation densitycitations
- 2020Multiaxial fatigue assessment of S355 steel in the high-cycle region by using Susmel's criterioncitations
- 2020Study of the Fatigue Crack Growth in Long-Term Operated Mild Steel under Mixed-Mode (I plus II, I plus III) Loading Conditionscitations
- 2018Energy response of S355 and 41Cr4 steel during fatigue crack growth processcitations
Places of action
| Organizations | Location | People |
|---|
article
A review of fatigue damage assessment in offshore wind turbine support structure
Abstract
According to the climate crisis, offshore wind turbines can play an important role to improve the green energy sector. Due to the rough and stochastic metocean environment, the fatigue existence in marine structures is inevitable. Several probabilities and artificial intelligence models can predict the metocean environment for fatigue assessment. Fatigue analysis can be done in time and frequency domains, and for enhancing the efficiency and speed of computation the hybrid model is proposed. Furthermore, the multivariate linear statistical models of the simplified fatigue are also fast with high accuracy. For the Fracture Mechanics method, the geometry functions would be very useful to approximate the fatigue crake growth rate. Besides, J-integral is a criterion to determine the orientation and along with of the fatigue crack and define the plastic behavior of the fatigue crack tip zone. In the local scale, UniGrow and SWT probability models could bring proper fatigue lifetime approximation and recognize the fatigue resistance and residual fatigue. Multiaxial fatigue also can consider the effect of the in- and out-of-phase loading effects through the critical plane method. Furthermore, a survey of the specific offshore steel shows that the fatigue lifetime does not have good agreement with the S-N curve of guidelines due to the inhomogeneity of the material and different mechanical properties. The PhyBal method was used to reduce the cost of the fatigue test and improve the fatigue approximation accuracy. © 2022 Elsevier Ltd