Uncertainty Quantification with dependent inputs wind and waves
| Authors |
|
|---|---|
| Publication date | 2018 |
| Host editors |
|
| Book title | Proceedings of the 6th. European Conference on Computational Mechanics (Solids, Structures and Coupled Problems ECCM 6, 7th. European Conference on Computational Fluid Dynamics ECFD 7, Glasgow, Scotland, UK, June 11-15, 2018 |
| ISBN (electronic) |
|
| Event | 7th European Conference on Computational Fluid Dynamics |
| Pages (from-to) | 4099-4110 |
| Publisher | Barcelona: International Center for Numerical Methods in Engineering |
| Organisations |
|
| Abstract |
A framework for performing uncertainty quantification is presented which is well-suited for systems with dependent inputs with unknown distributions. The multivariate input is given as a dataset whose variables can have strong, nonlinear dependencies. For each of the elements in the framework (dependency analysis, sample selection and sensitivity analysis), we recently developed new methods, which are here combined for the first time. The framework is tested on an example involving a wind farm simulation with offshore weather conditions as input. |
| Document type | Conference contribution |
| Language | English |
| Published at | http://www.eccm-ecfd2018.org/frontal/docs/Ebook-Glasgow-2018-ECCM-VI-ECFD-VII.pdf |
| Other links | http://www.eccm-ecfd2018.org |
| Permalink to this page | |