Petrolo | Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites | E-Book | sack.de
E-Book

E-Book, Englisch, 193 Seiten, eBook

Reihe: PoliTO Springer Series

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


1. Auflage 2019
ISBN: 978-3-030-11969-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 193 Seiten, eBook

Reihe: PoliTO Springer Series

ISBN: 978-3-030-11969-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark



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 to deal with the anisotropy of composites and to embed multifield and nonlinear effects to extend design capabilities and provide methods of augmenting the fidelity of structural theories and lowering computational costs, including the finite element method. The second part of the book focuses on damage analysis; the multiscale and multicomponent nature of composites leads to extremely complex failure mechanisms, and predictive tools require physics-based models to reduce the need for fitting and tuning based on costly and lengthy experiments, and to lower computational costs; furthermore the correct monitoring of in-service damage is decisive in the context of damage tolerance. The thirdpart then presents recent advances in embedding characterization and manufacturing effects in virtual testing. The book summarizes the outcomes of the FULLCOMP (FULLy integrated analysis, design, manufacturing, and health-monitoring of COMPosite structures) research project.
Petrolo Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites jetzt bestellen!

Zielgruppe


Research


Autoren/Hrsg.


Weitere Infos & Material


Introduction.- Variable kinematic shell formulations accounting for multi-field effects for the analysis of multi-layered structures.- Bistable buckled beam-like structures by one-dimensionalhierarchical modeling.- Multiscale nonlinear analysis of beam structures by means of theCarrera Unified Formulation.- On the effectiveness of higher-order one-dimensional models forphysically 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.


Marco Petrolo is assistant professor and member of MUL2 (Multilayered Structures Multifield Analysis) research group at the Department of Mechanical and Aerospace Engineering of Politecnico di Torino, Italy. His research activity deals with the structural analysis of composite structures; refined beam, plate and shell models; component-wise approaches, damage analysis, and axiomatic/asymptotic analyses.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.