Computational Methods for Solids and Fluids, Softcover reprint of the original 1st ed. 2016 Multiscale Analysis, Probability Aspects and Model Reduction Computational Methods in Applied Sciences Series, Vol. 41

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.  

Presents contributions from both solid mechanics and applied mathematics experts

Gives code-coupling strategy for efficient development of scientific software for large-scale computations

Treats coupled probability-nonlinear-mechanics problems and solution methods

Provides a modern mathematical and computational setting for multi-phase flows and fluid-structure interaction

Includes supplementary material: sn.pub/extras