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Probabilistic analysis is becoming more important in mechanical science and real-world engineering applications.
To demonstrate the effectiveness of the proposed method, a real-world engineering application is tested.
Another example shows the application of the extended simulation in a real-world engineering context.
And tests conducted using real-world engineering models are also described.
Stochastic model updating must be considered for quantifying uncertainties inherently existing in real-world engineering structures.
It has been successfully applied to many real-world engineering applications involving non-linear continuous optimization.
Similar(12)
Thus, it is not easy to implement H∞ optimal control in real world engineering problems.
Many real world engineering optimization problems are multi-modal and associated with constrains.
Evolutionary computation (EC) is generating considerable interest for solving real world engineering problems.
The proposed cluster consensus criteria have some potential applications in real world engineering systems.
Finally, the applications of two real world engineering optimization problems verify the usefulness of the proposed method.
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