Akademik Veri Yönetim Sistemi
25TH INTERNATIONAL ISTANBUL SCIENTIFIC RESEARCH CONGRESS ON LIFE, ENGINEERING, ARCHITECTURE AND MATHEMATICAL SCIENCES, İstanbul, Türkiye, 23 Mayıs - 25 Haziran 2026, ss.835-845, (Tam Metin Bildiri)
A data-driven modeling framework is proposed to predict the mechanical behavior of graphenereinforced
nanocomposites under different strain rates. The model captures elastic, yield, and post-yield
responses within a unified approach. Elastic parameters are identified from experimental stress-strain
curves, while the yield behavior is described using a generalized micromechanics-based composite
model with inverse identification of effective activation parameters. The post-yield region is modeled
using a two-term Hollomon relation combined with a smooth transition function to ensure continuity
between elastic and plastic regions. An interpolation scheme is also incorporated to predict the material
response at intermediate strain rates. The developed framework successfully represents the effects of
strain rate and can be directly implemented into finite element software for engineering applications