Rea!

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

Det ursprungliga priset var: 1 086,00 kr.Det nuvarande priset är: 434,40 kr.

TRYGGT KÖP Handla tryggt hos oss
  • Fri frakt över 499,00 kr
  • 14 dagars ångerrätt & retur
  • 100% säkra betalningar med SSL
  • Kvalitetsgaranti på alla produkter
Visa Mastercard PayPal
Artikelnr: SK0258055-SE20260527-055838 Kategori: Etikett:

Beskrivning

Beskrivning

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 third part 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.

Om boken

Om denna bok

Advances in Predictive Models and Methodologies for Numerically Efficient Linear and Nonlinear Analysis of Composites av Marco Petrolo är en Häftad bok med 193 sidor på Engelska. Detta är den 1:a upplagan som utgavs 2020 av Springer Nature.

Produktinformation

Kategori
Okänd
Bandtyp
Häftad
Språk
Engelska
ISBN
9783030119713
Upplaga
1
Utgiven
2020-08-15
Förlag
Springer Nature
Sidantal
193