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Polynomial chaos is used for efficient uncertainty propagation.
A probabilistic framework for efficient uncertainty quantification in structural dynamic analysis is presented.
A new computational method is proposed for efficient uncertainty quantification of multiphase flow in porous media with stochastic permeability.
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With the advent of state-of-the-art computers and their rapid availability, the time is ripe for the development of efficient uncertainty quantification (UQ) methods to reduce the complexity of numerical models used to simulate complicated systems with incomplete knowledge and data.
We consider the very challenging problem of efficient uncertainty quantification for acoustic wave propagation in a highly heterogeneous, possibly layered, random medium, characterized by possibly anisotropic, piecewise log-exponentially distributed Gaussian random fields.
A practical in-parts adjoint approach to sensitivity calculation is then applied for computationally efficient uncertainty propagation.
This paper presents an efficient uncertainty quantification (UQ) scheme for frequency responses of laminated composite plates.
This work presents a novel approach for efficient systems design under uncertainty that uses data mining and model fitting methods during optimization to significantly reduce the associated computational effort.
The general tone of the book is not "from theory to practice," but "from current practice to better practice". The third part of the book, a single chapter, presents a method for efficient estimation under model uncertainty.
Many mathematical methods have been developed for this purpose, while little research has been done to guide us in designing experiments which are relatively efficient for uncertainty minimization.
We hope for efficient cooperation".
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