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A computationally economic finite-element-based multi-linear elastic orthotropic materials approach has been developed to predict the stress strain and fracture behaviour of ceramic matrix composites with strain-induced damage.
A computationally economic finite-element-based approach has been developed to predict the stress strain and fracture behaviour of an 8-Harness satin woven ceramic matrix composite with strain-induced damage.
A computationally economic finite-element-based stress analysis model, developed previously by the authors, has been extended to predict the thermal behaviour of ceramic matrix composites with strain-induced damage.
The leap-frog optimisation algorithm for constrained problems (LFOPC) has been linked to the multi-body dynamics simulation code (Vehsim2d) to enable the computationally economic optimisation of certain vehicle and suspension design variables.
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Results revealed that, while the accuracy of the present theory is comparable to that of the three-dimensional theory of elasticity and sometimes (e.g., when a very soft core is used) is higher than the high-order zigzag theories, the presented solution approach is computationally more economic.
In this paper, a systematic approach is introduced to integrate safety issues into solvent selection and provides a computationally effective method for establishing tradeoffs between the economic and safety objectives.
Any analysis designing congestion mitigation strategies would need to take this variability into account, but complex chemistry-transport models are computationally intensive and may be impractical if direct economic costs dominate.
Specifically, we sample position auction games from a given distribution, encode them in a computationally efficient representation language, compute their Nash equilibria, and calculate economic quantities of interest.
These show that the model presented is reliable and computationally efficient allowing for massive simulations for a statistical design or economic feasibility studies.
A new smoothing splines algorithm with sequential Gaussian simulation generates multiple commodity price scenarios, and a computationally efficient stochastic framework accommodates the joint representation and processing of the mining block economic values that result from these commodity price scenarios.
"Our algorithm is faster and computationally simpler," Allesina says.
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