Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites
This book gathers contributions addressing issues related to the analysis of composite structures, whose most relevant common thread is augmented numerical efficiency, which is more accurate for given computational costs than existing methods and methodologies. It first presents structural theories...
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2019, 2019
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| Edition: | 1st ed. 2019 |
| Series: | PoliTO Springer Series
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Introduction
- Variable kinematic shell formulations accounting for multi-field effects for the analysis of multi-layered structures
- Bistable buckled beam-like structures by one-dimensional hierarchical modeling
- Multiscale nonlinear analysis of beam structures by means of the Carrera Unified Formulation
- On the effectiveness of higher-order one-dimensional models for physically nonlinear problems
- Post-buckling progressive failure analysis of composite panels using a two-way global-local coupling approach including intralaminar failure and debonding
- Mesoscale hyperelastic model of a single yarn under high velocity transverse impact
- Structural health monitoring: numerical simulation of Lamb waves via higher-order models
- Improving the static structural performance of panels with spatially varying material properties using correlations
- Multiscale identification of material properties for anisotropic media: a general inverse approach
- Metamodel-based uncertainty quantification for the mechanical behavior of braided composites