Computational Methods for Solids and Fluids by Adnan Ibrahimbegovic
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Computational Methods for Solids and Fluids

Computational Methods for Solids and Fluids


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About the Book

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 piezoelectric energy 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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Product Details
  • ISBN-13: 9783319279947
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: 1st ed. 2016
  • Language: English
  • Returnable: Y
  • Spine Width: 29 mm
  • Weight: 933 gr
  • ISBN-10: 3319279947
  • Publisher Date: 25 Feb 2016
  • Binding: Hardback
  • Height: 234 mm
  • No of Pages: 493
  • Series Title: Computational Methods in Applied Sciences
  • Sub Title: Multiscale Analysis, Probability Aspects and Model Reduction
  • Width: 156 mm


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