Cossan software: A multidisciplinary and collaborative software for uncertainty quantification

Edoardo Patelli; Matteo Broggi; Silvia Tolo; Jonathan Sadeghi

doi:10.7712/120217.5364.16982

Cossan software: A multidisciplinary and collaborative software for uncertainty quantification

Edoardo Patelli
, Matteo Broggi
, Silvia Tolo
, Jonathan Sadeghi

Institut für Risiko und Zuverlässigkeit

The University of Liverpool

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

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.

Originalsprache	Englisch
Titel des Sammelwerks	UNCECOMP 2017
Untertitel	2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering
Herausgeber/-innen	George Stefanou, M. Papadrakakis, Vissarion Papadopoulos
Herausgeber (Verlag)	National Technical University of Athens
Seiten	212-224
Seitenumfang	13
ISBN (elektronisch)	9786188284449
DOIs	https://doi.org/10.7712/120217.5364.16982
Publikationsstatus	Veröffentlicht - Sept. 2017
Veranstaltung	2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2017 - Rhodes Island, Griechenland Dauer: 15 Juni 2017 → 17 Juni 2017

Konferenz

Konferenz	2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2017
Land/Gebiet	Griechenland
Ort	Rhodes Island
Zeitraum	15 Juni 2017 → 17 Juni 2017

ASJC Scopus Sachgebiete

Theoretische Informatik und Mathematik
Angewandte Informatik
Theoretische Informatik

Zugriff auf Dokument

10.7712/120217.5364.16982

https://strathprints.strath.ac.uk/id/eprint/72210Lizenz: Sonstige

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Dieses zitieren

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 (Hrsg.), UNCECOMP 2017: 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (S. 212-224). National Technical University of Athens. https://doi.org/10.7712/120217.5364.16982

Patelli, Edoardo ; Broggi, Matteo ; Tolo, Silvia et al. / Cossan software : A multidisciplinary and collaborative software for uncertainty quantification. UNCECOMP 2017: 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering. Hrsg. / George Stefanou ; M. Papadrakakis ; Vissarion Papadopoulos. National Technical University of Athens, 2017. S. 212-224

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title = "Cossan software: A multidisciplinary and collaborative software for uncertainty quantification",

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.",

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author = "Edoardo Patelli and Matteo Broggi and Silvia Tolo and Jonathan Sadeghi",

note = "Publisher Copyright: {\textcopyright} 2017 The Authors. Published by Eccomas Proceedia. ; 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2017 ; Conference date: 15-06-2017 Through 17-06-2017",

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month = sep,

doi = "10.7712/120217.5364.16982",

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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 (Hrsg.), UNCECOMP 2017: 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering. National Technical University of Athens, S. 212-224, 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2017, Rhodes Island, Griechenland, 15 Juni 2017. https://doi.org/10.7712/120217.5364.16982

Cossan software: A multidisciplinary and collaborative software for uncertainty quantification. / Patelli, Edoardo; Broggi, Matteo; Tolo, Silvia et al.
UNCECOMP 2017: 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering. Hrsg. / George Stefanou; M. Papadrakakis; Vissarion Papadopoulos. National Technical University of Athens, 2017. S. 212-224.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

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AU - Broggi, Matteo

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PY - 2017/9

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AB - 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.

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Patelli E, Broggi M, Tolo S, Sadeghi J. Cossan software: A multidisciplinary and collaborative software for uncertainty quantification. in Stefanou G, Papadrakakis M, Papadopoulos V, Hrsg., UNCECOMP 2017: 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering. National Technical University of Athens. 2017. S. 212-224 doi: 10.7712/120217.5364.16982