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

Institute for Risk and Reliability

University of Liverpool

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › 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.

Original language	English
Title of host publication	UNCECOMP 2017
Subtitle of host publication	2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering
Editors	George Stefanou, M. Papadrakakis, Vissarion Papadopoulos
Publisher	National Technical University of Athens
Pages	212-224
Number of pages	13
ISBN (Electronic)	9786188284449
DOIs	https://doi.org/10.7712/120217.5364.16982
Publication status	Published - Sept 2017
Event	2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2017 - Rhodes Island, Greece Duration: 15 Jun 2017 → 17 Jun 2017

Conference

Conference	2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2017
Country/Territory	Greece
City	Rhodes Island
Period	15 Jun 2017 → 17 Jun 2017

Keywords

COSSAN-X
OpenCOSSAN
Risk assessment
Uncertainty quantification

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Science Applications
Theoretical Computer Science

Access to Document

10.7712/120217.5364.16982

https://strathprints.strath.ac.uk/id/eprint/72210Licence: Other

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: 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (pp. 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. editor / George Stefanou ; M. Papadrakakis ; Vissarion Papadopoulos. National Technical University of Athens, 2017. pp. 212-224

@inproceedings{d86e3069950444359af66119242fc426,

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.",

keywords = "COSSAN-X, OpenCOSSAN, Risk assessment, Uncertainty quantification",

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",

year = "2017",

month = sep,

doi = "10.7712/120217.5364.16982",

language = "English",

pages = "212--224",

editor = "George Stefanou and M. Papadrakakis and Vissarion Papadopoulos",

booktitle = "UNCECOMP 2017",

publisher = "National Technical University of Athens",

address = "Greece",

}

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: 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering. National Technical University of Athens, pp. 212-224, 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2017, Rhodes Island, Greece, 15 Jun 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. ed. / George Stefanou; M. Papadrakakis; Vissarion Papadopoulos. National Technical University of Athens, 2017. p. 212-224.

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

TY - GEN

T1 - Cossan software

T2 - 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2017

AU - Patelli, Edoardo

AU - Broggi, Matteo

AU - Tolo, Silvia

AU - Sadeghi, Jonathan

PY - 2017/9

Y1 - 2017/9

N2 - 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.

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.

KW - COSSAN-X

KW - OpenCOSSAN

KW - Risk assessment

KW - Uncertainty quantification

UR - https://www.scopus.com/pages/publications/85036521479

U2 - 10.7712/120217.5364.16982

DO - 10.7712/120217.5364.16982

M3 - Conference contribution

AN - SCOPUS:85036521479

SP - 212

EP - 224

BT - UNCECOMP 2017

A2 - Stefanou, George

A2 - Papadrakakis, M.

A2 - Papadopoulos, Vissarion

PB - National Technical University of Athens

Y2 - 15 June 2017 through 17 June 2017

ER -

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, editors, UNCECOMP 2017: 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering. National Technical University of Athens. 2017. p. 212-224 doi: 10.7712/120217.5364.16982

Cossan software: A multidisciplinary and collaborative software for uncertainty quantification

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this