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Computational Methods for Solids and Fluids

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Cover of 'Computational Methods for Solids and Fluids'

Table of Contents

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    Book Overview
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    Chapter 1 Multiscale Analysis as a Central Component of Urban Physics Modeling
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    Chapter 2 A Path-Following Method Based on Plastic Dissipation Control
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    Chapter 3 Improved Implicit Immersed Boundary Method via Operator Splitting
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    Chapter 4 Modelling Wave Energy Conversion of a Semi-submerged Heaving Cylinder
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    Chapter 5 Multiscale Modeling of Imperfect Interfaces and Applications
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    Chapter 6 Computational Methods for Solids and Fluids
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    Chapter 7 Relating Structure and Model
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    Chapter 8 Fat Latin Hypercube Sampling and Efficient Sparse Polynomial Chaos Expansion for Uncertainty Propagation on Finite Precision Models: Application to 2D Deep Drawing Process
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    Chapter 9 Multiscale Atomistic-to-Continuum Reduced Models for Micromechanical Systems
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    Chapter 10 Inverse Problems in a Bayesian Setting
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    Chapter 11 Heterogeneous Materials Models, Coupled Mechanics-Probability Problems and Energetically Optimal Model Reduction
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    Chapter 12 Modelling of Internal Fluid Flow in Cracks with Embedded Strong Discontinuities
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    Chapter 13 Reliability Calculus on Crack Propagation Problem with a Markov Renewal Process
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    Chapter 14 Multi-scale Simulation of Newtonian and Non-Newtonian Multi-phase Flows
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    Chapter 15 Numerical Modeling of Flow-Driven Piezoelectric Energy Harvesting Devices
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    Chapter 16 Comparison of Numerical Approaches to Bayesian Updating
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    Chapter 17 Two Models for Hydraulic Cylinders in Flexible Multibody Simulations
Attention for Chapter 10: Inverse Problems in a Bayesian Setting
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Chapter title
Inverse Problems in a Bayesian Setting
Chapter number 10
Book title
Computational Methods for Solids and Fluids
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-27996-1_10
Book ISBNs
978-3-31-927994-7, 978-3-31-927996-1
Authors

Hermann G. Matthies, Elmar Zander, Bojana V. Rosić, Alexander Litvinenko, Oliver Pajonk, Matthies, Hermann G., Zander, Elmar, Rosić, Bojana V., Litvinenko, Alexander, Pajonk, Oliver

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 43%
Researcher 9 30%
Lecturer 2 7%
Other 2 7%
Professor 1 3%
Other 0 0%
Unknown 3 10%
Readers by discipline Count As %
Engineering 16 53%
Mathematics 8 27%
Physics and Astronomy 1 3%
Chemical Engineering 1 3%
Unknown 4 13%