Auteur George Deodatis
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Documents disponibles écrits par cet auteur (9)
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Marwala, Tshilidzi, Auteur ; George Deodatis, Auteur |This paper introduces a new fault identification method that uses pseudomodal energies to train probabilistic neural networks (PNNs). The proposed procedure is tested on a population of 20 cylindrical shells and its performance is compared to th[...]![]()
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Manuel Miranda, Auteur ; George Deodatis, Auteur |A Monte Carlo–based methodology is introduced as a generalization of the variability response function (VRF) concept, applicable to both statically determinate and indeterminate beam structures with possibly large stochastic variations of parame[...]![]()
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Kim, Ho-Kyung, Auteur ; Masanobu Shinozuka, Auteur ; Chang, Sung-Pil ; George Deodatis, Éditeur scientifique |A geometrically nonlinear buffeting analysis of a cable-stayed bridge in the time domain is described. The bridge structure is modeled with three-dimensional thin-walled beam elements and three-dimensional elastic catenary cable elements. Spatia[...]![]()
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S. K. Au, Auteur ; George Deodatis, Éditeur scientifique |A Probabilistic approach for failure analysis is presented in this paper, which investigates the probable scenarios that occur in case of failure of engineering systems with uncertainties. Failure analysis can be carried out by studying the stat[...]![]()
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Paolo Franchin, Auteur ; George Deodatis, Éditeur scientifique |The assessment of safety for structures subjected to earthquake excitation is a time-variant reliability problem whose practical solution, when the structure behaves inelastically and uncertainty in the mechanical parameters is taken into accoun[...]![]()
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Sadek, Fahim, Auteur ; Kasperski, Michael, Auteur ; Diniz, Sofia ; Massimiliano Gioffrè ; Emil Simiu ; George Deodatis, Éditeur scientifique |Peak values in time histories of wind effects may be obtained by using the entire information inherent in the time series of the wind effect, a method entailing the estimation of the probability distribution of the peak through the application o[...]![]()
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Koutsourelakis, Phaedon-Stelios, Auteur ; George Deodatis, Auteur |This Paper introduces a methodology for simulation of binary random fields according to their prescribed autocorrelation function. It Starts with a brief outline of the essential features binary random fields and their implications in modeling t[...]![]()
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Koutsourelakis, Phaedon-Stelios, Auteur ; George Deodatis ; Arvid Naess, Éditeur scientifique |This paper proposes a methodology for simulation of binary random fields with application to the problem of generating sample realizations of two-phase random media. The methodology is based on the concept of nonlinear transformations with memor[...]![]()
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Mircea Grigoriu, Auteur ; George Deodatis, Auteur |A new model is developed for non-Gaussian processes. The model is based on the spectral representation theorem for weakly stationary processes, can match the second moment properties and several higher order moments of any non-Gaussian process, [...]


