2005
DOI: 10.1680/geot.55.2.143.59528
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A generic approach to soil—structure interaction considering the effects of soil heterogeneity

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Cited by 3 publications
(4 citation statements)
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“…The first attempts have aimed at extending the use of lumped-parameter models and Winkler spring models to the stochastic domain. In particular, the coefficients of these simplified models are randomized, thus leading to random boundary impedances [145,146,147,148,149], modeled very cost-effectively. The main inconvenient of this approach, is that it is impossible to relate the fluctuations of the physical properties of the environment to the fluctuations of the coefficients, because the latter are usually identified by regression.…”
Section: Influence Of Stochastic Environment Propertiesmentioning
confidence: 99%
“…The first attempts have aimed at extending the use of lumped-parameter models and Winkler spring models to the stochastic domain. In particular, the coefficients of these simplified models are randomized, thus leading to random boundary impedances [145,146,147,148,149], modeled very cost-effectively. The main inconvenient of this approach, is that it is impossible to relate the fluctuations of the physical properties of the environment to the fluctuations of the coefficients, because the latter are usually identified by regression.…”
Section: Influence Of Stochastic Environment Propertiesmentioning
confidence: 99%
“…Unlike the parameters h and m which showed weak or no correlation with the SFSI effects, the probability of detrimental SFSI scenarios (DSFSI) is strongly correlated with the stiffness ratio ω . F o r P e e r R e v i e w [20] …”
Section: Correlation Between Detrimental Scenarios and Key System Parmentioning
confidence: 99%
“…A rational way for achieving this is to make use of a comprehensive probabilistic evaluation which is an approach gaining growing attention in the geotechnical engineering community [19] and investigation of SFSI effects [20][21][22][23][24]. This study aims at investigating the complex dynamic inertial SFSI problem through a robust Monte Carlo simulation and quantifying the influence of foundation flexibility on the structural seismic response.…”
Section: Introductionmentioning
confidence: 99%
“…La fonction d'autocorrélation choisie est de forme exponentielle avec une longueur de corrélation égale à la longueur de la semelle filante. De nombreuses études ont montré que la longueur de corrélation la plus influente sur le comportement d'un ouvrage varie, selon le paramètre étudié (tassement, renversement, moment fléchissant, ...), entre 0,5 et 1,5 fois la longueur de l'ouvrage (Fen ton et Griffiths, 2002 ;Houy et al, 2005 ;Breysse et al, 2005 ;Niandou et Breysse, 2007, pour les plus récen tes). La figure 8 illustre la génération de deux champs de valeurs de k de moyenne 20 000 kN/m3, de coeffi cient de variation de 0,2 et de longueur de corrélation le de 10 m. …”
Section: Influence De La Variabilité Naturelleunclassified