Role of Uncertainty in the Durability of Composite Material Systems

Published

August 17, 2020

Author(s)

Jeffrey T. Fong, Nathanael A. Heckert, James J. Filliben

Abstract

This paper is a chapter invited by the editor of a book to be published by Elsevier in 2020. The title of the book is "Durability of Composite Systems," and the editor is Prof. Kenneth Reifsnider, N.A.E., University of Texas at Arlington, Arlington, TX, U.S.A. In stating the outline of this book, Prof. Reifsnider wrote: "Composite materials have sparked a modern revolution in which they have become functional material systems, engineered to serve multifunctional purposes as diverse as energy conversion, osteopathic reconstruction, and aerospace structural performance. While these and many other types of engineered material systems have dramatically different functional and performance requirements, the question of their durability is central to their success. However, the precepts and conceptual requirements needed to achieve and maintain durability for all of these composite systems are also rapidly changing and disperse in the literature. The present book meets the challenge of defining these precepts and requirements from first principles to applications in a diverse selection of technical fields, selected to form a corpus of concepts and methodologies that define the field of durability in composite material systems as a modern discipline." There are 14 chapters in this book, and this chapter is Chapter VIII entitled "Role of Uncertainty in the Durability of Composite Material Systems." The synopsis of the chapter states that "this chapter has the responsibility of addressing broadly and precisely, the role of complexity reflected in uncertainthy in the subject of durability of material systems."

Citation

Durability of Composite Systems

Issue

ISBN 9780128182604

Publisher Info

Elsevier Inc, Maryland Heights, MO

Pub Type

Book Chapters

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DOI Link

Keywords

Composite materials, confidence interval, data uncertainty, DATAPLOT, durability, fatigue, fracture, mathematical modeling, model uncertainty, model validation, model verification, NIST Uncertainty Machine, parameter uncertainty, prediction interval, scale uncertainty, tolerance interval, uncertainty quantification.

Citation

Fong, J. , Heckert, N. and Filliben, J. (2020), Role of Uncertainty in the Durability of Composite Material Systems, Durability of Composite Systems, Elsevier Inc, Maryland Heights, MO, [online], https://doi.org/10.1016/B978-0-12-818260-4.00002-8 (Accessed April 19, 2024)