OpenCossan: an efficient open tool for dealing with epistemic and aleatory uncertainties

Edoardo Patelli, Matteo Broggi, Marco De Angelis, Michael Beer

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

43 Citations (Scopus)

Abstract

In this work, an integrated computational framework for uncertainty quantification and management is presented. Dealing with uncertainty might lead to impractical computational costs especially for detailed models. Hence, it is of paramount importance the availability of efficient numerical methods in order to reduce the computational costs of non-deterministic analyses by implementing the most efficient algorithms and taking advantages of the high performance computing. The computational framework OpenCossan is able to deal with different representation of uncertainty such as random variables, interval, distributional and free p-boxes. A wide range of engineering and scientific problems can be solved by the proposed computational framework thanks to its modular design. An application to a real case multidisciplinary optimization problem involving aleatory and epistemic variables is presented to show the flexibility and the power and the applicability of the software.

Original languageEnglish
Title of host publicationVulnerability, Uncertainty, and Risk
Subtitle of host publicationQuantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014
EditorsJim W. Hall, Siu-Kui Au, Michael Beer
PublisherAmerican Society of Civil Engineers (ASCE)
Pages2564-2573
Number of pages10
ISBN (Electronic)9780784413609
DOIs
Publication statusPublished - 7 Jul 2014
Event2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014 - Liverpool, United Kingdom
Duration: 13 Jul 201416 Jul 2014

Publication series

NameVulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014

Conference

Conference2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014
CountryUnited Kingdom
CityLiverpool
Period13/07/1416/07/14

Keywords

  • uncertainty analysis
  • optimization RBDO
  • algorithms
  • application programs
  • computational efficiency
  • cost benefit analysis
  • numerical methods
  • risk analysis

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  • Cite this

    Patelli, E., Broggi, M., Angelis, M. D., & Beer, M. (2014). OpenCossan: an efficient open tool for dealing with epistemic and aleatory uncertainties. In J. W. Hall, S-K. Au, & M. Beer (Eds.), Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014 (pp. 2564-2573). (Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784413609.258