Deep learning method for predicting the strengths of microcracked brittle materials
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Reference57 articles.
1. Effect of defects on fracture strength of graphene sheets;Wang;Comput Mater Sci,2012
2. Effects of defects, inclusions and inhomogeneities on fatigue strength;Murakami;Int J Fatigue,1994
3. A note on the defect sensitivity of brittle solid foams;Chen;Engng Fract Mech,2019
4. The effect of microcracks on the elastic moduli of brittle materials;Zimmerman;J Mater Sci Lett,1985
5. Defect, temperature, and strain effects on lattice heat conductivity of egg-tray graphene;Sun;Modell Simul Mater Sci Engng,2021
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