Finally, dam-foundation-reservoir interaction finite element model is constituted and probabilistic analyses are performed with MCS using the selected parameters, sampling method, function and arbitrary factor under gravity load for empty and full reservoir conditions.
The present method and the Arbitrary Lagrangian-Eulerian (ALE) method have a similarity in spirit eliminating the cross-streamline numerical diffusion.
Considering that the median method is free from the assumptions of the least-squares method and the arbitrary assumptions implicit in the linearization methods to estimate the kinetic constants Vmax, Km and KS from the substrate uncompetitive inhibition equation, the median method is highly superior to all published methods, including the non-linear regression by least squares.
The method summarizes the statistical reservoir factors and engineering factors that affect the well productivity, extracts information by applying the principal component analysis method and approximates arbitrary functions of the neural network to realize an accurate and efficient prediction on the fluvial facies reservoir well productivity.
Gathering evidence to be used in practice requires systematic methods and not arbitrary Internet searches.
The developed model was integrated with an electric field, electromagnetic field, incompressible laminar flow, forced-coupling method (FCM), heat transfer and arbitrary Langrangian Eulerian (ALE) moving mesh technique.
Thus, conventional visualization techniques that depict connectivity data in the neuroanatomic space may not be optimal (along similar lines, other recently proposed visualization techniques also used somewhat heuristic and arbitrary methods [2]).
A numerical method for unilateral and arbitrary-shaped obstacles is developed, based on a modal approach in order to take into account the frequency dependence of losses in strings.
In order to assess dose rates during the cutting and demolition process, a flexible dose assessment method for arbitrary geometries and radiation sources was proposed based on virtual reality technology and Point-Kernel method.
In [14], the input is a series of images taken from a moving camera and motion-based background selection is employed, while our proposed method takes arbitrary views and do not reply on motion information.
