000013260 001__ 13260
000013260 005__ 20161114160333.0
000013260 04107 $$aeng
000013260 046__ $$k2009-06-22
000013260 100__ $$aVandepitte D. V., H.
000013260 24500 $$aModelling product variability and data uncertainty in structural dynamics engineering: overview of achievements of the mc-rtn maduse

000013260 24630 $$n2.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000013260 260__ $$bNational Technical University of Athens, 2009
000013260 506__ $$arestricted
000013260 520__ $$2eng$$aIn the FP6 Marie Curie network Maduse (2004-2008), 23 engineers from 14 countries have worked for more than 30 person years at 6 universities and 3 companies to develop advanced methodologies that deal with non-determinism. First of all, the nature of uncertainty is characterized as either variability (aleatory uncertainty), when scatter occurs over different realisations, or epistemic uncertainty, when insufficient knowledge is available to determine the precise value of a model parameter. Likewise, there are two categories of methods that each apply for one category of problems. A variability case is treated with a probabilistic model, using probability density functions. An epistemic uncertainty case on the other hand is modelled with a possibilistic model, using interval or fuzzy numbers. Both categories of models require a quite different approach. Input data are different, and so are numerical formalisms to capture the type of non-determinism and also calculation procedures that predict how the uncertainty propagates through the analysis. Ultimately, the interpretation of the result is very different too. Probabilistic methods allow for a statistical interpretation, whereas possibilistic methods only give bounds on the output quantities. The network has focussed on the application to dynamic response calculation, a technical field of ever increasing importance. Although several industrial sectors were within the scope of the project, the automotive sector was the main project driver. The network has not only 

000013260 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000013260 653__ $$aUncertainty, Variability, Finite Element Analysis, Structural Dynamics Abstract. In the FP6 Marie Curie network Maduse (2004-2008), 23 engineers from 14 countries have worked for more than 30 person years at 6 universities and 3 companies to develop advanced methodologies that deal with non-determinism. First of all, the nature of uncertainty is characterized as either variability (aleatory uncertainty), when scatter occurs over different realisations, or epistemic uncertainty, when insufficient knowledge is available to determine the precise value of a model parameter. Likewise, there are two categories of methods that each apply for one category of problems. A variability case is treated with a probabilistic model, using probability density functions. An epistemic uncertainty case on the other hand is modelled with a possibilistic model, using interval or fuzzy numbers. Both categories of models require a quite different approach. Input data are different, and so are numerical formalisms to capture the type of non-determinism and also calculation procedures that predict how the uncertainty propagates through the analysis. Ultimately, the interpretation of the result is very different too. Probabilistic methods allow for a statistical interpretation, whereas possibilistic methods only give bounds on the output quantities. The network has focussed on the application to dynamic response calculation, a technical field of ever increasing importance. Although several industrial sectors were within the scope of the project, the automotive sector was the main project driver. The network has not only 1

000013260 7112_ $$aCOMPDYN 2009 - 2nd International Thematic Conference$$cIsland of Rhodes (GR)$$d2009-06-22 / 2009-06-24$$gCOMPDYN2009
000013260 720__ $$aVandepitte D. V., H.$$iMace B., R.$$iLardeur, P.
000013260 8560_ $$ffischerc@itam.cas.cz
000013260 8564_ $$s139548$$uhttps://invenio.itam.cas.cz/record/13260/files/CD388.pdf$$yOriginal version of the author's contribution as presented on CD, section: Semi-plenary lectures.
000013260 962__ $$r13074
000013260 980__ $$aPAPER