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Dynamic reduced model and stochastic aspects for PFGM curved beams with variable curvature
(Pergamon-Elsevier Science Ltd, 2021-01)
In this paper a new 1D finite element model for dynamic calculations of PGFM curved beams with variable curvature is developed. The reduced high-speed calculation model allows stochastic aspects in the dynamic of the ...
Forecasting of consumer demand with the use of multi-factor dynamic models
(Universidad del Zulia, 2019)
Using a dynamic forest model to predict tree species distributions
(WILEY-BLACKWELL, 2016)
Aim It has been suggested that predicting species distributions requires a processbased
and preferably dynamic approach. If dynamic models are to contribute
towards understanding species distributions, uncertainties ...
Neural network model for maximum ozone concentration prediction
(1996)
A neural network dynamic model was used for predicting maximum ozone (O3) concentration at Santiago de Chile. Learning and test data were collected during summer and springtime periods of 1990, 1992 and 1993. A neural ...
Nonlinear dynamic model and simulation of morphing wing profile actuated by shape memory alloys
(2012-06-06)
Morphing aircraft have the ability to actively adapt and change their shape to achieve different missions efficiently. The development of morphing structures is deeply related with the ability to model precisely different ...
Nonlinear dynamic model and simulation of morphing wing profile actuated by shape memory alloys
(2012-06-06)
Morphing aircraft have the ability to actively adapt and change their shape to achieve different missions efficiently. The development of morphing structures is deeply related with the ability to model precisely different ...
Reducing the allowable kinetic space by constructing ensemble of dynamic models with the same steady-state flux
(Elsevier, 2011-01)
Dynamic models of metabolism are instrumental for gaining insight and predicting possible outcomes of perturbations. Current approaches start from the selection of lumped enzyme kinetics and determine the parameters within ...
Asymptotic approach for the nonlinear equatorial long wave interactions
(2011-08-30)
In the present work we use an asymptotic approach to obtain the long wave equations. The shallow water equation is put as a function of an external parameter that is a measure of both the spatial scales anisotropy and the ...
Asymptotic approach for the nonlinear equatorial long wave interactions
(2011-08-30)
In the present work we use an asymptotic approach to obtain the long wave equations. The shallow water equation is put as a function of an external parameter that is a measure of both the spatial scales anisotropy and the ...