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Numerical simulation enables quick design and performance evaluation of wind aided evaporation schemes that may be incorporated in different industries facing RO reject management problems.
The numerical simulation enables the understanding of structural performance of flat plate under elevated temperature and, more importantly, identifies the high risk of punching failure at slab-column connections that may trigger large-scale failure in flat plate structures.
Large-scale, Direct Numerical Simulation enables the computation of full-field solutions and the explicit consideration of the deformation of individual crystals as well as of their crystalline texture evolution and interaction with neighboring grains.
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Engineering analyses based on the results of numerical simulation enable shortening the duration and reducing the costs of the development and tests of equipment models or prototypes.
Such numerical simulations enable the closer study of complex reactions like photosynthesis and combustion, as well as the design of new drugs.
Numerical simulations enable shortening time-to-market for designed mechanical systems.
Numerical simulations enable to estimate more precisely how long the fiber should be to get large Raman conversion efficiency and negligible Brillouin scattering.
The present numerical simulations enable study of the relative importance of the acceleration of gravity on the bubble capture by the swirl flow in the separator.
Beyond the prediction of the stress strain curves at different strain rates, numerical simulations enable the visualization of stress, strain, energy, local orientation, dislocation density fields within the aggregate.
To ensure a seamless workflow during the design and analysis and to minimise the computation time, we propose a novel concept of multi-level numerical simulations, enabling the modelling on different Levels of Detail (LoDs) for each physical component, process information, and analysis type.
Thus, time-lapse observation combined with numerical simulations enabled us to extract the important dynamic parameters for dendrite morphogenesis by means of a recursive method.
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