Spring 2023 | Product peek
Identifying unknown material properties using reverse engineering by combining materials databases and artificial intelligence
by Koji Yamamoto, CYBERNET SYSTEMS
Futurities Year 20 n°1, Spring 2023
In this article, two analyses were performed to establish a highly accurate method for predicting the static strength of composite materials using virtual material testing, and the results are presented.
Virtual material testing is very useful for generating the large amount of material test data required for inverse identification analysis. Not only can the tests be done in a short time, but they are also easy to conduct under any conditions.
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