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dc.contributor.author
Marelli, Stefano
dc.contributor.author
Sudret, Bruno
dc.date.accessioned
2017-08-28T13:02:30Z
dc.date.available
2017-08-28T12:20:15Z
dc.date.available
2017-08-28T12:56:59Z
dc.date.available
2017-08-28T13:02:30Z
dc.date.issued
2017-06-15
dc.identifier.uri
http://hdl.handle.net/20.500.11850/181293
dc.identifier.doi
10.3929/ethz-b-000181293
dc.description.abstract
Uncertainty quantification is rapidly becoming a well-established topic in many fields of engineering and applied sciences. However, the lack of proper software tools that combine generality, accessibility, ease of use and state-of-the-art techniques has somewhat hindered the diffusion of many powerful tools to a wider scientific audience. Under these premises, the UQLab software project started in ETH Zurich in early 2013 with the aim of providing a powerful, modular, robust and user-friendly platform for uncertainty quantification across disciplines. Following the 3-step general framework for uncertainty quantification described in Sudret (2007), UQLab is designed to help researchers to solve a large class of uncertainty quantification problems by providing a natural environment to pose them, as well as advanced algorithms for their solution (Marelli and Sudret, 2014). The first beta version of UQLab was released in July 2015. Among its features, it included the joint probabilistic representation of random variables based on the copula formalism, a module to connect to various kinds of existing computational models (e.g. Matlab functions or external software through wrappers), advanced metamodelling techniques (e.g. sparse polynomial chaos expansions and Gaussian process regression), state-of-the-art sensitivity analysis tools (e.g. Sobol’ indices, Morris elementary effects, etc.) and a Reliability analysis module (e.g. FORM/SORM, Importance Sampling, adaptive surrogate-based AK-MCS, etc.). Close to the two years milestone and after the open source release of the code of its scientific modules, a number of open topics and development perspectives are presented in this contribution. Among them: the extension of the available metamodelling tool to comprise low rank canonical representations, PC-Kriging, support vector regression and classification, as well as the extension of the probabilistic input representation with random fields, high dimensional copula inference, etc. The planned launch of a global UQLab community to further foster the interdisciplinary character of its development will be also discussed. References [1] Sudret, B. (2007). Uncertainty propagation and sensitivity analysis in mechanical models - Contributions to structural reliability and stochastic spectral methods. Habilitation à diriger des recherches, Université Blaise Pascal, Clermont-Ferrand, France. [2] Marelli, S. & Sudret (2014), B. UQLab: A framework for uncertainty quantification in Matlab. Proc. 2nd Int. Conf. on Vulnerability, Risk Analysis and Management (ICVRAM2014), Liverpool, United Kingdom, 2554-2563.
en_US
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
UQLab
en_US
dc.subject
Uncertainty Quantification
en_US
dc.subject
Software
en_US
dc.title
Towards the second year milestone: the UQLab development roadmap
en_US
dc.type
Other Conference Item
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.size
68 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.event
2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2017)
en_US
ethz.event.location
Rhodes Island, Greece
en_US
ethz.event.date
June 15-17, 2017
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02605 - Institut für Baustatik u. Konstruktion / Institute of Structural Engineering::03962 - Sudret, Bruno / Sudret, Bruno
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02605 - Institut für Baustatik u. Konstruktion / Institute of Structural Engineering::03962 - Sudret, Bruno / Sudret, Bruno
en_US
ethz.date.deposited
2017-08-28T12:20:15Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-08-28T12:57:06Z
ethz.rosetta.lastUpdated
2018-11-05T18:25:29Z
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true
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true
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