The Implementation of Statistical Inference to Study the Bending Strength of Sustainable Hybrid Sandwich Panel Composite

Fajrin, Jauhar and Zhuge, Yan and Bullen, Frank and Wang, Hao (2011) The Implementation of Statistical Inference to Study the Bending Strength of Sustainable Hybrid Sandwich Panel Composite. Advanced Material Research (AMR), 250 (1). pp. 956-961. ISSN 16628985, 10226680

[img] Text
C-14; Artikel AMR+Info Lengkap Konferensi.pdf

Download (903kB)
Official URL: https://www.scientific.net/AMR.250-253.956

Abstract

The study reported here involves the evaluation of the ultimate bending stress (bending strength) of hybrid sandwich panels using a simple comparative statistical analysis. Four sets of beam were tested with each set consisting of modified beams (MB) and unmodified beam (UB) samples. A total of 42 beam samples were tested using 3 point bending followed by statistical inference analysis using a t-test. The results show that the introduction of an intermediate layer has a significant effect on increasing the bending strength of the new hybrid sandwich panel composite.

Item Type: Article
Keywords (Kata Kunci): statistical inference, bending stress, sandwich panel
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Fakultas Teknik
Depositing User: Dr Jauhar Fajrin
Date Deposited: 16 Oct 2020 01:20
Last Modified: 16 Oct 2020 01:20
URI: http://eprints.unram.ac.id/id/eprint/17648

Actions (login required)

View Item View Item