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Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites

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Cover of 'Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Variable Kinematic Shell Formulations Accounting for Multi-field Effects for the Analysis of Multi-layered Structures
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    Chapter 3 Bistable Buckled Beam-Like Structures by One-Dimensional Hierarchical Modeling
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    Chapter 4 Multiscale Nonlinear Analysis of Beam Structures by Means of the Carrera Unified Formulation
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    Chapter 5 On the Effectiveness of Higher-Order One-Dimensional Models for Physically Nonlinear Problems
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    Chapter 6 Post-buckling Progressive Failure Analysis of Composite Panels Using a Two-Way Global-Local Coupling Approach Including Intralaminar Failure and Debonding
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    Chapter 7 Mesoscale Hyperelastic Model of a Single Yarn Under High Velocity Transverse Impact
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    Chapter 8 Structural Health Monitoring: Numerical Simulation of Lamb Waves Via Higher-Order Models
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    Chapter 9 Improving the Static Structural Performance of Panels with Spatially Varying Material Properties Using Correlations
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    Chapter 10 Multiscale Identification of Material Properties for Anisotropic Media: A General Inverse Approach
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    Chapter 11 Metamodel-Based Uncertainty Quantification for the Mechanical Behavior of Braided Composites
Attention for Chapter 11: Metamodel-Based Uncertainty Quantification for the Mechanical Behavior of Braided Composites
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7 Mendeley
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Chapter title
Metamodel-Based Uncertainty Quantification for the Mechanical Behavior of Braided Composites
Chapter number 11
Book title
Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-11969-0_11
Book ISBNs
978-3-03-011968-3, 978-3-03-011969-0
Authors

G. Balokas, B. Kriegesmann, S. Czichon, A. Böttcher, R. Rolfes, Balokas, G., Kriegesmann, B., Czichon, S., Böttcher, A., Rolfes, R.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 14%
Student > Doctoral Student 1 14%
Student > Bachelor 1 14%
Professor 1 14%
Student > Ph. D. Student 1 14%
Other 2 29%
Readers by discipline Count As %
Engineering 6 86%
Unspecified 1 14%

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