Cossan software: a multidisciplinary and collaborative software for uncertainty quantification

Edoardo Patelli, Matto Broggi, Silvia Tolo, Jonathan Sadeghi

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

8 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationUNCECOMP 2017
Subtitle of host publicationProceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering
EditorsGeorge Stefanou, M. Papadrakakis, Vissarion Papadopoulos
Place of PublicationAthens
Pages212-224
Number of pages13
ISBN (Electronic)9786188284449
DOIs
Publication statusPublished - 17 Jun 2017
Event2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2017 - Rhodes Island, Greece
Duration: 15 Jun 201717 Jun 2017

Conference

Conference2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2017
CountryGreece
CityRhodes Island
Period15/06/1717/06/17

Keywords

  • COSSAN-X
  • OpenCOSSAN
  • risk assessment
  • uncertainty quantification

Fingerprint Dive into the research topics of 'Cossan software: a multidisciplinary and collaborative software for uncertainty quantification'. Together they form a unique fingerprint.

  • Cite this

    Patelli, E., Broggi, M., Tolo, S., & Sadeghi, J. (2017). Cossan software: a multidisciplinary and collaborative software for uncertainty quantification. In G. Stefanou, M. Papadrakakis, & V. Papadopoulos (Eds.), UNCECOMP 2017: Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (pp. 212-224). https://doi.org/10.7712/120217.5364.16982