Special Issue "The Reliability Design of Advanced Composite Materials"

A special issue of Journal of Composites Science (ISSN 2504-477X).

Deadline for manuscript submissions: closed (31 December 2018)

Special Issue Editor

Guest Editor
Assoc. Prof. Dr. Ryoichi Chiba

Department of Mechanical Systems Engineering, National Institute of Technology, Asahikawa College, Shunkodai 2-2-1-6, Asahikawa, Hokkaido 071-8142, Japan
Website | E-Mail
Interests: composite material; stochastic analysis; thermoelasticity; metal forming; heat transfer; computational mechanics

Special Issue Information

Dear Colleagues

Generally, material properties, such as static strength and fatigue life, are random variables and, thus, are usually stated in terms of mean values with attached uncertainties. Although composite materials offer the possibility of tailoring material properties for a particular application, their strength is widely distributed or uncertain, as compared with homogeneous materials, because of the inherent inhomogeneity of their microstructure. Mechanical, thermal, and chemical influences from fabrication processes and acquired conditions including aged deterioration also affect the uncertainty. The same goes for material properties other than strength. Thus, the strength reliability of composite materials must be accurately assessed at the design phase. To this end, it is vital to develop stochastic and statistical methods for describing the probabilistic nature of the strength of composite materials. This will require consideration of strength expression mechanism at microscale, manufacturing defects, and damage progression due to mechanical/thermal load in use. It is also vital to familiarise the application of reliability methods to the optimal design of composite materials.

This Special Issue welcomes diverse submissions related to the reliability design of composite materials, ranging from the experimental characterisation of various uncertainties that composite materials include to reliability assessment methods for structures made of composite materials.

Assoc. Prof. Dr. Ryoichi Chiba
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Composites Science is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) is waived for well-prepared manuscripts submitted to this issue. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • composite laminate
  • particle-reinforced composite
  • fibre-reinforced composite
  • stochastic finite element method
  • random field
  • Monte Carlo simulation
  • multi-scale homogenisation
  • reliability method
  • microstructure
  • uncertainty characterisation

Published Papers (1 paper)

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Research

Open AccessArticle
Toward Variability Characterization and Statistic Models’ Constitution for the Prediction of Exponentially Graded Plates’ Static Response
J. Compos. Sci. 2018, 2(4), 59; https://doi.org/10.3390/jcs2040059
Received: 22 July 2018 / Revised: 2 October 2018 / Accepted: 9 October 2018 / Published: 13 October 2018
PDF Full-text (3193 KB) | HTML Full-text | XML Full-text
Abstract
Functionally graded composite materials may constitute an advantageous alternative to engineering applications, allying a customized tailoring capability to its inherent continuous properties transition. However, these attractive characteristics must account for the uncertainty that affects these materials and their structures’ physical quantities. Therefore, it [...] Read more.
Functionally graded composite materials may constitute an advantageous alternative to engineering applications, allying a customized tailoring capability to its inherent continuous properties transition. However, these attractive characteristics must account for the uncertainty that affects these materials and their structures’ physical quantities. Therefore, it is important to analyze how this uncertainty will modify the foreseen deterministic response of a structure that is built with these materials, identifying which of the parameters are responsible for a greater impact. To pursue this main objective, the material and geometrical parameters that characterize a plate made of an exponentially graded material are generated according to a random multivariate normal distribution, using the Latin hypercube sampling technique. Then, a set of finite element analyses based on the first-order shear deformation theory are performed to characterize the linear static responses of these plates, which are further correlated to the input parameters. This work also considers the constitution of statistic models in order to allow their use as alternative prediction models. The results show that for the plates that were analyzed, the uncertainty associated with the elasticity modulus of both phases is mainly responsible for the maximum transverse deflection variability. The effectiveness of the statistical models that are built are also shown. Full article
(This article belongs to the Special Issue The Reliability Design of Advanced Composite Materials)
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