Article Sidebar
Published:
Oct 16, 2012Keywords:
Article Details
Copyright belongs to the Faculty of Engineering, University of Nigeria, Nsukka, Nigeria
The contents of the articles are the sole opinion of the author(s) and not of NIJOTECH.
NIJOTECH allows open access for distribution of the published articles in any media so long as whole (not part) of articles are distributed.
A copyright and statement of originality documents will need to be filled out clearly and signed prior to publication of an accepted article. The Copyright form can be downloaded from https://www.nijotech.com/downloads/COPYRIGHT%20FORM.pdf while the Statement of Originality is in Statement of Originality.pdf (nijotech.com)
For articles that were developed from funded research, a clear acknowledgement of such support should be mentioned in the article with relevant references. Authors are expected to provide complete information on the sponsorship and intellectual property rights of the article together with all exceptions.
It is forbidden to publish the same research report in more than one journal.
Main Article Content
Limit Stress Spline Models for GRP Composites
Abstract
This paper focuses on the use of Spline functions in modelling the critical stress - strain responses of polyester matrix GRP Composites. Spline functions were established on the assumption of three intervals and fitting of quadratic and cubic splines to critical stress-strain responses data. Quadratic and Cubic spline models for three intervals of data points 0.024 £ x£ 0.036, 0.036 £ x £ 0.061and 0.061 £ x £ O. 12 were established. The optimization of quadratic and cubic models by gradient search optimization gave the critical strain as 0.024, which resulted to strength of approximately 26 MPa. Strain hardening was observed to occurr within a strain range of 0.03 to 0.12 leading to strength of about 62 MPa predicted by Cubic spline. Splines were found to accurately predict the functional values at subinterval, 0.024 £ x £ 0.036 of data points. Spline model is therefore recommended as it evaluates the function at subintervals, eliminating the error associated with wide range interpolation.
