Patelli, Edoardo 
ORCID: 0000-0002-5007-7247, Broggi, Matteo, Tolo, Silvia ORCID: 0000-0003-3547-7012 and Sadeghi, Jonathan ORCID: 0000-0003-4106-2374
(2017)
COSSAN SOFTWARE: A MULTIDISCIPLINARY AND COLLABORATIVE SOFTWARE FOR UNCERTAINTY QUANTIFICATION.
In: 1st International Conference on Uncertainty Quantification in Computational Sciences and Engineering, 2017-6-15 - 2017-6-17.
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Abstract
Computer-Aided modelling and simulation is now widely recognised as the third 'leg' of scientific method, alongside theory and experimentation. Many phenomena can be studied only by using computational processes such as complex simulations or analysis of experimental data. In addition, in many engineering fields computational approaches and virtual prototypes are used to support and drive the design of new components, structures and systems. A general purpose software for uncertainty quantification and risk assessment, named COSSAN, is under continuous development. This is a multi-disciplinary software that satisfies industry requirements regarding numerical efficiency and analysis of detailed models that can be used to solve a wide range of industrial and scientific problems. The main aim of the COSSAN software is to allow the inclusion of non-deterministic analyses as a practice standard routing in scientific computing. This paper presents two recent toolboxes added to the OPENCOSSAN: Credal Networks and Interval Predictive model.
| Item Type: | Conference or Workshop Item (Unspecified) |
|---|---|
| Additional Information: | owner: epatelli timestamp: 2017.06.12 |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 08 May 2019 10:48 |
| Last Modified: | 19 Jan 2023 00:50 |
| DOI: | 10.7712/120217.5364.16982 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3040025 |
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