Cellular materials consist of intricate engineered structures spanning multiple lengthscales, offering precise control over their properties. However, the presence of stress/strain risers can hinder their integrity, particularly in fatigue performance. The crucial question is then: to what extent do these features influence fatigue? The difficulty in conducting representative experimental tests has […]
Monthly Archives: December 2023
2 posts
The scarcity of fatigue data makes the employment of machine learning for predictive purposes extremely challenging. On top of that, the more material characteristics and manufacturing process conditions you consider at the same time, the less these predictions appear to be robust. Following our last year’s original work adopting a […]