Deep learning model for early prediction of material fracture in tensile testing

Author:

Jubair Fahed,Alhamayel Ahmad,Aljaiose Raed,Darabkh Khalid A.

Publisher

Springer Science and Business Media LLC

Reference23 articles.

1. Davis JR (2004) Tensile testing, 2nd edn. ASM International, Ohio

2. Fundamentals of uniaxial tension testing. https://fadi-amt.com/resources-tension-testing.html. Accessed Oct 2023

3. Fracture or breaking point: definition, implications, tests, types, and benefits | Xometry. https://www.xometry.com/resources/materials/fracture-or-breaking-point/. Accessed Oct 2023

4. Deng F, He Y, Zhou S, Yu Y, Cheng H, Wu X (2018) Compressive strength prediction of recycled concrete based on deep learning. Constr Build Mater 175:562–569

5. Bao H, Wu S, Wu Z, Kang G, Peng X, Withers PJ (2021) A machine-learning fatigue life prediction approach of additively manufactured metals. Eng Fract Mech 242:107508

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