000013336 001__ 13336
000013336 005__ 20161114160337.0
000013336 04107 $$aeng
000013336 046__ $$k2009-06-22
000013336 100__ $$aSoize, C.
000013336 24500 $$aInformation theory for stochastic modeling of uncertainties in high dimension. application to a new construction of the challenging inverse problem relative to the generation of accelerograms associated with srs

000013336 24630 $$n2.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000013336 260__ $$bNational Technical University of Athens, 2009
000013336 506__ $$arestricted
000013336 520__ $$2eng$$aIn transient nonlinear structural dynamics, the dynamical levels of transient vibrations can be defined in terms of a shock response spectrum (SRS) in order to specify the transient loads which are applied to an equipment or to a secondary subsystem. A fundamental problem is then to construct a generator of the non-stationary stochastic process (the transient signal) satisfying a given SRS. This problem has been looked at by many scientists in using specific representations of the non-stationary stochastic process (the accelerogram). In this paper, we propose to solve this challenging stochastic inverse problem by another way in using Information Theory. In the approach proposed, the target SRS is taken as the mean value of the unknown random SRS spanned by the unknown non-stationary stochastic accelerogram for which the probabilistic model has to be constructed. We present the construction of the probability model which allows the confidence region of the random SRS to be carried out. The method presented is validated with an example.

000013336 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000013336 653__ $$aGeneration of Accelerograms, Shock Response Spectrum, Information Theory, Stochastic Modeling. Abstract. In transient nonlinear structural dynamics, the dynamical levels of transient vibrations can be defined in terms of a shock response spectrum (SRS) in order to specify the transient loads which are applied to an equipment or to a secondary subsystem. A fundamental problem is then to construct a generator of the non-stationary stochastic process (the transient signal) satisfying a given SRS. This problem has been looked at by many scientists in using specific representations of the non-stationary stochastic process (the accelerogram). In this paper, we propose to solve this challenging stochastic inverse problem by another way in using Information Theory. In the approach proposed, the target SRS is taken as the mean value of the unknown random SRS spanned by the unknown non-stationary stochastic accelerogram for which the probabilistic model has to be constructed. We present the construction of the probability model which allows the confidence region of the random SRS to be carried out. The method presented is validated with an example.

000013336 7112_ $$aCOMPDYN 2009 - 2nd International Thematic Conference$$cIsland of Rhodes (GR)$$d2009-06-22 / 2009-06-24$$gCOMPDYN2009
000013336 720__ $$aSoize, C.
000013336 8560_ $$ffischerc@itam.cas.cz
000013336 8564_ $$s143372$$uhttps://invenio.itam.cas.cz/record/13336/files/CD495.pdf$$yOriginal version of the author's contribution as presented on CD, section: Semi-plenary lectures.
000013336 962__ $$r13074
000013336 980__ $$aPAPER