Prediction of failure load in flat-joggle-flat co-cured composite joints using artificial neural networks-Reference-Cited by-同舟云学术

Prediction of failure load in flat-joggle-flat co-cured composite joints using artificial neural networks

Published:2023-08 Issue: Volume:345 Page:134491
ISSN:0167-577X
Container-title:Materials Letters
language:en
Short-container-title:Materials Letters

Author:

Hiremath Vinayak S.^ORCID,Mallikarjuna Reddy D.

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Reference8 articles.

1. Effect of manufacturing processes and multi-walled carbon nanotube loading on mechanical and dynamic properties of glass fiber reinforced composites;Dhilipkumar;Polym. Compos.,2022

2. Bonded joints with composite adherends. Part II. Finite element analysis of joggle lap joints;Taib;Int. J. Adhes. Adhes.,2006

3. Failure load prediction of single lap adhesive joints based on a new linear elastic criterion;Ayatollahi;Theor. Appl. Fract. Mech.,2015

4. Artificial Neural Network prediction of Cu-Al2O3 composite properties prepared by powder metallurgy method;Amirjan;J. Mater. Res. Technol.,2013

5. L. Amayreh and M. P. Saka, Failure load prediction of castellated beams using artificial neural networks Asian J. Civ. Eng. (Building Housing), vol. 6, no. 1–2, 2005.

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