Durability and Life Prediction in Biocomposites, Fibre-Reinforced Composites and Hybrid Composites

Nonfiction, Science & Nature, Technology, Material Science
Cover of the book Durability and Life Prediction in Biocomposites, Fibre-Reinforced Composites and Hybrid Composites by , Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9780081022986
Publisher: Elsevier Science Publication: September 13, 2018
Imprint: Woodhead Publishing Language: English
Author:
ISBN: 9780081022986
Publisher: Elsevier Science
Publication: September 13, 2018
Imprint: Woodhead Publishing
Language: English

Durability and Life Prediction in Biocomposites, Fibre-Reinforced Composites and Hybrid Composites focuses on the advanced characterization techniques used for the analysis of composite materials developed from natural fiber/biomass, synthetic fibers and a combination of these materials used as fillers and reinforcements to enhance materials performance and utilization in automotive, aerospace, construction and building components. The book presents key aspects of fracture and failure in natural/synthetic, fiber reinforced, polymer based composite materials, ranging from crack propagation, to crack growth, and from notch-size effect, to damage-tolerant design.

Written by leading experts in the field, and covering composite materials developed from different natural fibers and their hybridization with synthetic fibers, the book's chapters provide cutting-edge, up-to-date research on the characterization, analysis and modelling of composite materials.

  • Contains contributions from leading experts in the field
  • Discusses recent progress on failure analysis, SHM, durability, life prediction and the modelling of damage in natural fiber-based composite materials
  • Covers experimental, analytical and numerical analysis
  • Provides detailed and comprehensive information on mechanical properties, testing methods and modelling techniques
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Durability and Life Prediction in Biocomposites, Fibre-Reinforced Composites and Hybrid Composites focuses on the advanced characterization techniques used for the analysis of composite materials developed from natural fiber/biomass, synthetic fibers and a combination of these materials used as fillers and reinforcements to enhance materials performance and utilization in automotive, aerospace, construction and building components. The book presents key aspects of fracture and failure in natural/synthetic, fiber reinforced, polymer based composite materials, ranging from crack propagation, to crack growth, and from notch-size effect, to damage-tolerant design.

Written by leading experts in the field, and covering composite materials developed from different natural fibers and their hybridization with synthetic fibers, the book's chapters provide cutting-edge, up-to-date research on the characterization, analysis and modelling of composite materials.

More books from Elsevier Science

Cover of the book Coal and Peat Fires: A Global Perspective by
Cover of the book Thermodynamics, Solubility and Environmental Issues by
Cover of the book Basic Aspects of Catechol-O-Methyltransferase and the Clinical Applications of its Inhibitors by
Cover of the book Crime Scene Photography by
Cover of the book Gas Bubble Dynamics in the Human Body by
Cover of the book Agile Energy Systems by
Cover of the book Dynamos by
Cover of the book Advances in Geophysics by
Cover of the book Hormones and Reproduction of Vertebrates, Volume 2 by
Cover of the book Advances in Membrane Technologies for Water Treatment by
Cover of the book Control of Power Electronic Converters and Systems by
Cover of the book Introductory Review on Sirtuins in Biology, Aging, and Disease by
Cover of the book Transfer Factor by
Cover of the book Ebola Virus Disease by
Cover of the book Geothermal Power Plants by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy