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Advances in Direct Methods for Materials and Structures

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Cover of 'Advances in Direct Methods for Materials and Structures'

Table of Contents

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    Book Overview
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    Chapter 1 Limit Load Theorems for the Drucker-Prager Yield Condition with a Non-associated Flow Rule
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    Chapter 2 A Direct Method for Predicting the High-Cycle Fatigue Regime of Shape-Memory Alloys Structures
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    Chapter 3 Shakedown Within Polycrystals: A Direct Numerical Assessment
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    Chapter 4 On the Size of the Representative Volume Element Used for the Strength Prediction: A Statistical Survey Applied to the Particulate Reinforce Metal Matrix Composites (PRMMCs)
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    Chapter 5 R-adaptivity in Limit Analysis
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    Chapter 6 Shakedown Analysis Under Stochastic Uncertainty by Chance Constrained Programming
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    Chapter 7 Composite Finite Elements in Structural Analysis
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    Chapter 8 Recent Progress on Lower-Bound Shakedown Analysis of Road Pavements
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    Chapter 9 Numerical Yield Design Analysis of High-Rise Reinforced Concrete Walls in Fire Conditions
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    Chapter 10 Efficient Shakedown Solutions in Complex Loading Domains
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    Chapter 11 Some Graphical Interpretations of Melan’s Theorem for Shakedown Design
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    Chapter 12 High Temperature Limit Analysis of Pressure Vessels and Piping with Local Wall-Thinning
Attention for Chapter 5: R-adaptivity in Limit Analysis
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Citations

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Chapter title
R-adaptivity in Limit Analysis
Chapter number 5
Book title
Advances in Direct Methods for Materials and Structures
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-59810-9_5
Book ISBNs
978-3-31-959808-6, 978-3-31-959810-9
Authors

José J. Muñoz, James Hambleton, Scott W. Sloan

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 67%
Professor > Associate Professor 1 33%
Readers by discipline Count As %
Engineering 2 67%
Unknown 1 33%

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