Buscar
Mostrando ítems 1-10 de 85
Stochastic parameterization identification using ensemble Kalman filtering combined with maximum likelihood methods
(Taylor & Francis, 2018-01)
For modelling geophysical systems, large-scale processes are described through a set of coarse-grained dynamical equations while small-scale processes are represented via parameterizations. This work proposes a method for ...
Model selection: Using information measures from ordinal symbolic analysis to select model sub-grid scale parameterizations
(American Meteorological Society, 2017-06-30)
The use of information measures for model selection in geophysical models with subgrid parameterizations is examined.} Although the resolved dynamical equations of atmospheric or oceanic global numerical models are well ...
Chaos-Galerkin solution of stochastic Timoshenko bending problems
(PERGAMON-ELSEVIER SCIENCE LTD, 2011)
This paper presents an accurate and efficient solution for the random transverse and angular displacement fields of uncertain Timoshenko beams. Approximate, numerical solutions are obtained using the Galerkin method and ...
Timoshenko versus Euler beam theory: Pitfalls of a deterministic approach
(ELSEVIER SCIENCE BV, 2011)
The selection criteria for Euler-Bernoulli or Timoshenko beam theories are generally given by means of some deterministic rule involving beam dimensions. The Euler-Bernoulli beam theory is used to model the behavior of ...
Using efficient parallelization in Graphic Processing Units to parameterize stochastic fire propagation models
(Elsevier, 2018-03)
Wildfires are a major concern in Argentinian northwestern Patagonia and in many ecosystems and human societies around the world. We developed an efficient cellular automata model in Graphic Processing Units (GPUs) to ...
A Fourier-based control vector parameterization for the optimization of nonlinear dynamic processes with a finite terminal time
(Pergamon-Elsevier Science Ltd, 2020-01)
In this paper, a novel strategy for finding the optimal operation profiles for nonlinear dynamic processes is developed. Based on the direct sequential stochastic framework for dynamic optimization, this work proposes a ...
Características estatísticas turbulentas associadas ao fenômeno do vento norte no sul do Brasil: aplicação ao problema da difusão de contaminantes
(Universidade Federal de Santa MariaBRFísicaUFSMPrograma de Pós-Graduação em Física, 2008-04-18)
A parameterization for the transport processes in a shear driven planetary boundary layer (PBL) has been established, employing turbulent statistical quantities measured during the north wind phenomenon in southern Brazil. ...
Galerkin Solution of Stochastic Beam Bending on Winkler Foundations
(TECH SCIENCE PRESS, 2010)
In this paper, the Askey-Wiener scheme and the Galerkin method are used to obtain approximate solutions to stochastic beam bending on Winkler foundation. The study addresses Euler-Bernoulli beams with uncertainty in the ...
Performance and parameterization of the algorithm Simplified Generalized Simulated Annealing
(Sociedade Brasileira de Genética, 2004)
The main goal of this study is to find the most effective set of parameters for the Simplified Generalized Simulated Annealing algorithm, SGSA, when applied to distinct cost function as well as to find a possible correlation ...
Stochastic population model of Zea mays L.
(Elsevier Science Inc, 2019-06)
We propose a minimalist stochastic population model of maize, focused on the description of the maize vegetative stages (seedlings with different number of leaves) involved in the propagation of vector-borne diseases. This ...