Mechanical properties, failure mechanisms, and scaling laws of bicontinuous nanoporous metallic glasses

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@Article{LIU:2022:actamat,

• author = "Chang Liu and Suyue Yuan and Jinwoo Im and Felipe P. J. {de Barros} and Sami F. Masri and Paulo S. Branicio",
• title = "Mechanical properties, failure mechanisms, and scaling laws of bicontinuous nanoporous metallic glasses",
• journal = "Acta Materialia",
• volume = "239",
• pages = "118255",
• year = "2022",
• ISSN = "1359-6454",
• DOI = "doi:10.1016/j.actamat.2022.118255",
• URL = "https://www.sciencedirect.com/science/article/pii/S1359645422006358",
• keywords = "genetic algorithms, genetic programming, Nanoporous metallic glass, Mechanical behavior, Scaling laws, Bicontinuous nanoporous",
• abstract = "Molecular dynamics simulations are employed to study the mechanical properties of nanoporous CuxZr1-x metallic glasses (MGs) with five different compositions, x = 0.28, 0.36, 0.50, 0.64, and 0.72, and porosity in the range 0.1 < ? < 0.7. Results from tensile loading simulations indicate a strong dependence of Young's modulus, E, and Ultimate Tensile Strength (UTS) on porosity and composition. By increasing the porosity from phi = 0.1 to phi = 0.7, the topology of the nanoporous MG shifts from closed cell to open-cell bicontinuous. The change in nanoporous topology enables a brittle-to-ductile transition in deformation and failure mechanisms from a single critical shear band to necking and rupture of ligaments. Genetic Programming (GP) is employed to find scaling laws for E and UTS as a function of porosity and composition. A comparison of the GP-derived scaling laws against existing relationships shows that the GP method is able to uncover expressions that can predict accurately both the values of E and UTS in the whole range of porosity and compositions considered",

}

Genetic Programming entries for Chang Liu Suyue Yuan Jinwoo Im Felipe De Barros Sami F Masri Paulo S Branicio

Citations