Elucidating the auxetic behavior of cementitious cellular composites using finite element analysis and interpretable machine learning

With the advent of 3D printing, auxetic cellular cementitious composites (ACCCs) have recently garnered significant attention owing to their unique mechanical performance. To enable seamless performance prediction of the ACCCs, interpretable machine learning (ML)-based approaches can provide efficie...

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發表在:	Materials & Design
Main Authors:	Gideon A. Lyngdoh, Nora-Kristin Kelter, Sami Doner, N.M. Anoop Krishnan, Sumanta Das
格式:	Article
語言:	英语
出版:	Elsevier 2022-01-01
主題:	Machine learning Auxetic Cementitious Cellular Composites Auxetic behavior Neural network SHAP Finite element analysis
在線閱讀:	http://www.sciencedirect.com/science/article/pii/S0264127521008960