Moisture Damage Modeling in Lime and Chemically Modified Asphalt at Nanolevel Using Ensemble Computational Intelligence

This paper measures the adhesion/cohesion force among asphalt molecules at nanoscale level using an Atomic Force Microscopy (AFM) and models the moisture damage by applying state-of-the-art Computational Intelligence (CI) techniques (e.g., artificial neural network (ANN), support vector regression (...

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Detalles Bibliográficos
Autores principales: Hassan, M. R., Mamun, A. Al., Hossain, M. I., Arifuzzaman, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932517/
https://www.ncbi.nlm.nih.gov/pubmed/29849551
http://dx.doi.org/10.1155/2018/7525789

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932517/
https://www.ncbi.nlm.nih.gov/pubmed/29849551
http://dx.doi.org/10.1155/2018/7525789

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