Sentence examples for efficient simulation methods from inspiring English sources

With numerous free parameters within the composites, there is a need of efficient simulation methods in design and optimisation.

These limitations need to be addressed in future works in order to develop accurate, robust and efficient simulation methods for response prediction of structures encountering extreme environments.

Current additive manufacturing techniques can assemble structures from lattice materials, but the design of such structures will require accurate, efficient simulation methods.

The linear structure of the components can be used for efficient simulation methods and the components can be distributed to several processors for a parallel computation.

The approximations are combined with efficient simulation methods to generate explicit approximations of reliability measures in terms of the design variables.

Despite the rapid progress in computing technology, the demand is still strong for more efficient simulation methods in diverse structural dynamics fields such as nonlinear system identification and nonlinear system reliability.

To address these difficulties, this paper proposes an efficient simulation method to estimate the effect.

In this paper, a new efficient simulation method is proposed to estimate the failure-probability-based global sensitivity measure.

We also introduce an efficient simulation method to estimate the reliability for a given set of servers and integrate this into the GAs.

Thus, the paper develops an efficient simulation method for suspensions of deformable PPG, which combines the discrete idea of immersed boundary (IB) for particle deformation, lattice Boltzmann method (LBM) for fluid flow, discrete element method (DEM) for particle contact and immersed moving boundary (IMB) method for the solid-fluid interaction.

In this work we present a simple and efficient simulation method for predicting the three dimensional structure of sediment deposits based on a one way coupled scheme of Brownian dynamics and analytic modeling of the fluid flow inside a drying colloidal drop under presence of Marangoni flow.