Computational Methods for Solids and Fluids: Multiscale Analysis, Probability Aspects and Model Reduction

Author:   Adnan Ibrahimbegovic
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2016
Volume:   41
ISBN:  

9783319279947


Pages:   493
Publication Date:   25 February 2016
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Computational Methods for Solids and Fluids: Multiscale Analysis, Probability Aspects and Model Reduction


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Author:   Adnan Ibrahimbegovic
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Volume:   41
Dimensions:   Width: 15.50cm , Height: 2.90cm , Length: 23.50cm
Weight:   8.808kg
ISBN:  

9783319279947


ISBN 10:   3319279947
Pages:   493
Publication Date:   25 February 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface.- Multiscale analysis as a central component of urban physics modeling, by Benoit Beckers.- A path-following method based on plastic dissipation control, by Bostjan Brank et al..- Improved implicit immersed boundary method via operator splitting, by Cai Shang-Gui et al..- Modelling wave energy conversion of a semi-submerged heavy cylinder, by Cai Shang-Gui et al..- Multi-scale modeling of imperfect interfaces and applications, by Serge Dumont et al..- A stochastic multi-scale approach for numerical modeling of complex materials – application to uniaxial cyclic response of concrete, by Jehel Pierre and George Deodatis.- Relating structure and model, by Ivica Kozar.- Fat Latin hypercube sampling and efficient sparse polynomial chaos expansion for uncertainty propagation on finite precision models - application to 2D deep drawing process, by Jeremy Lebon et al..- Multiscale atomistic-to-continuum reduced models for micromechanical systems, by  Eduard Marenic and Adnan Ibrahimbegovic.- Inverse Problems in a Bayesian Setting, by Hermann Matthies et al..- Heterogeneous materials models, coupled mechanics-probability problems and energetically optimal model reduction, by Rainer Niekamp et al..- Modelling of fluid-structure interaction for internal fluid flow in cracks by using embedded strong discontinuities, by Mijo Nikolic et al..- Reliability calculus on crack propagation problem with a Markov renewal process, by Chrysanthi Papamichail et al..- Multi-scale simulation of Newtonian and non-Newtonian multi-phase flows, by Juan Luis Prieto.- Numerical modeling of flow-driven piezoelectricenergy harvesting devices, by Ravi Srivathsan and Andreas Zilian.- Comparison of numerical approaches to Bayesian updating, by Rosic Bojana et al..- Two models for hydraulic cylinders in flexible multibody simulations, by Antti Ylinen et al.  

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