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Computational Methods for Solids and Fluids

Overview of attention for book
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 13: Reliability Calculus on Crack Propagation Problem with a Markov Renewal Process
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Citations

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Chapter title
Reliability Calculus on Crack Propagation Problem with a Markov Renewal Process
Chapter number 13
Book title
Computational Methods for Solids and Fluids
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-27996-1_13
Book ISBNs
978-3-31-927994-7, 978-3-31-927996-1
Authors

Chrysanthi A. Papamichail, Salim Bouzebda, Nikolaos Limnios, Papamichail, Chrysanthi A., Bouzebda, Salim, Limnios, Nikolaos

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Other 1 25%
Unknown 2 50%
Readers by discipline Count As %
Mathematics 2 50%
Unknown 2 50%

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