%0 Journal Article
%T A View on Stochastic Finite Element and Geostatistics for Resource Parameters Estimation
%A Skender Osmani
%A Mihallaq Kotro
%A Ervin Toromani
%A Aida Bode
%A Arben Bo£¿ari
%J Open Journal of Modern Hydrology
%P 89-96
%@ 2163-0496
%D 2013
%I Scientific Research Publishing
%R 10.4236/ojmh.2013.32012
%X <span>The resource parameter estimation using stochastic finite element, geostatistics etc</span><span>.</span><span> is a key point on uncertainty, risk analysis, optimization [1</span><span>-</span><span>5] etc.</span><span> </span><span>In this view, the paper presents some consideration on:</span><span> </span><span>1</span><span>) </span><span>Stochastic finite element es</span><span>timation.</span><span> </span><span>The concept of random element is simplified as a stochastic finite element (SFE) taking into account a paral</span><span>lelepiped element with eight nodes in which are given the probability density functions (pdf) on its point supports. In this context it is shown:</span><span> </span><span>a¡ªthe stochastic finite element is a linear interpolator, related to the distributions given at each nodes</span><span>; </span><span>b¡ªthe distribution pdf in whatever point <i>x </i></span><span>¡Ê </span><span>V</span><span>; </span><span>c¡ªthe estimation of the mean value of <i>Z</i>(<i>x</i>)</span><span>; </span><span>2</span><span>)</span><b><span> </span></b><span>Volume integrals calculus</span><span>; </span><span>3</span><span>)</span><span> SFE in geostatistics approaches</span><span>; </span><span>4</span><span>)</span><span> SFE in PDE solution.</span><span> </span><span>Finally</span><span>,</span><span> some conclusions are presented underlying the importance of SFE applications</span><span></span>
%K Parameter Estimation
%K SFE
%K Geostatistics
%K Kriging
%K Risk Analysis
%K Optimisation
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=30591