Stochastic multiscale
A computational stochastic multiscale methodology for MEMS structures involving adhesive contact
... a multiscale FE model because of the difficulty to formulate a stochastic multiscale FE approach, which is the main purpose of the present ...
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A stochastic multiscale analysis for MEMS stiction failure
... The purpose of this work is to quantify the uncertainties on the macro stiction behavior of a MEMS structure due to the randomness in its contacting surfaces. A full analysis, such as the combination of a Monte-Carlo ...
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Stochastic multiscale model of MEMS stiction accounting for high order statistical moments of non-Gaussian contacting surfaces
... computational stochastic multiscale methodology for MEMS structures involving adhesive contact, Tribology International, 110:401-425, 2017], the authors have proposed a probabilistic multiscale model ...
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Stochastic multiscale method applied to thermo-elasticity of polycrystalline micro-structures
... A stochastic multiscale method applied to thermo-elasticity analyzes of polycrystalline micro-structures 3SMVIB: The research has been funded by the Walloon Region under the agreement no 1117477 (CT-INT ...
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Stochastic multiscale modeling of MEMS stiction failure
... a stochastic model of the random meso-scale contact forces ● To reduce efficiently the computational cost ● Upper-scale: Integrate contact forces generated using the stochastic model as random contact laws ...
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Computational nonlinear stochastic homogenization using a non-concurrent multiscale approach for hyperelastic heterogeneous microstructures analysis
... of stochastic multiscale modeling of complex random heterogeneous microstructures has recently attracted a continuously growing attention in the scientifi ...spectral stochastic methods ...the ...
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Multiscale coupling approach for solving high-dimensional stochastic problems featuring localized uncertainties and non-linearities
... complex stochastic equations with multiscale features. Such stochastic multiscale models can exhibit variabilities in the operator, the bound- ary conditions or the geometry at different ...
3
A stochastic computational multiscale approach; Application to MEMS resonators
... a stochastic multiscale model for poly- crystalline materials, which accounts for the uncertainties in the ...a stochastic characterization of the elasticity tensor at the ...the stochastic ...
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Multiscale modelling of the respiratory tract
... well–posed multiscale model enables to describe the air flow behavior in the proximal part of the bronchial tree taking into account the parenchyma and diaphram ...this multiscale system will be the object ...
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Stochastic Volatility
... Stylized fa.eta are typically reported aa model-frN empirical obaervations. 14 Implied volatilitie£ are obviOUl!ly modal-based as they are ealculated from a pricing equat[r] ...
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Stochastic Bigraphs
... 4 Stochastic Bigraphs In this section we associate a rate constant ρ > 0 with each abstract reaction rule. Based upon these rated rules, which take the form R = ( ˜ R, ˜ R 0 , ρ), we then define a rate for ...
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Multiscale Replication of Iridescent Butterfly Wings
... the multiscale structure of butterfly wings, we have adopted the fourth-level observation method for analyzing our replica: wing, scales, ridges and lamellae [7, ...
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A multiscale approach to optimal transport
... QUENTIN MÉRIGOT Abstract. In this paper, we propose an improvement of an algorithm of Aurenhammer, Hoffmann and Aronov to find a least square matching between a probability density and finite set of sites with mass ...
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Stochastic Volatility
... 5.4 Simulated Method of Moments The estimation procedures discussed so far do not involve any simulation techniques. From now on we cover methods combining simulation and estimation beginning with the simulated method of ...
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Piling of multiscale random models
... [16] Stoyan D., Kendall W. S. and Mecke J., Stochastic Geometry and its Applications, J. Wiley, (1989). [17] Tricot C., Function norms and fractal dimension, SIAM J. Math Anal. 28, 189–212, (1997). MAP5 - CNRS UMR ...
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Multiscale representation of simulated time
... Perceived time points are not explicitly represented in any of the data types or data structures in our ap- proach. They exist only implicitly as a result of an op- eration called multiscale time advancement, ...
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Wavelet-based multiscale proper generalized decomposition
... accuracy, because of the availability of error bounds. When the error is unacceptably high, the reduced basis can be enriched by invoking a greedy adaption strategy [ 8 , 9 ]. Separated representations, at the heart of ...
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Multiscale modeling for bioresources and bioproducts
... 3. Modeling multiphasic and multiscale granular food systems Food elaboration from hydrated granular media (pasta, couscous, bulgur, rice, Ebly TM . . . ) requires the double specificity of these dispersed systems ...
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Sparse Multiscale Pacthes for Image Processing
... Sparse Multiscale Patches approach follows the same multiscale philosophy as the new compression standard SVC [38], presuming nearly straightforward use of low- level bitstream components for retrieval ...
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Multiscale seismic reflectivity of shallow thermoclines
... main multiscale wavelet-based analysis tools, the continuous wavelet transform and the wavelet response method, which we apply to the analytical thermocline ...
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