journal article·2023-08

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

Vinayak S. Hiremath, D. Mallikarjuna Reddy

Materials Letters· Volume 345
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Abstract

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Research context

OpenAlex topics: Mechanical Behavior of Composites · Mechanical Engineering and Vibrations Research · Textile materials and evaluations

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References (8)

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3. Failure load prediction of single lap adhesive joints based on a new linear elastic criterion10.1016/j.tafmec.2015.07.013 ↗
4. Artificial Neural Network prediction of Cu-Al2O3 composite properties prepared by powder metallurgy method10.1016/j.jmrt.2013.08.001 ↗
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.
6. Prediction of the behaviour of CFRPs against high-velocity impact of solids employing an artificial neural network methodology10.1016/j.compositesa.2008.03.002 ↗
7. V. S. Hiremath and D. M. Reddy, “Effect of ply orientation and laminate thickness on carbon fibre reinforced polymers under low-velocity Einfluss der Gewebeorientierung und Laminatdicke auf,” pp. 1290–1297, 2022, doi: 10.1002/mawe.202200087.10.1002/mawe.202200087 ↗
8. An experimental study of Flat-Joggle-Flat bonded joints in composite laminates10.1016/j.ijadhadh.2012.02.003 ↗