LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Mesh Size Optimization of Unidirectional Fiber-Reinforced Composite Model for Precisely Characterizing the Effective Elastic Property

Photo by thinkmagically from unsplash

Structural representative volume unit (RVU) has been extensively used to characterize the real effective elastic properties (EEPs) of fiber-reinforced composites (FRCs). The focus of this study is to optimize the… Click to show full abstract

Structural representative volume unit (RVU) has been extensively used to characterize the real effective elastic properties (EEPs) of fiber-reinforced composites (FRCs). The focus of this study is to optimize the optimum mesh size of a multiscale unidirectional RVU (UD-RVU) model to precisely characterize the EEPs of unidirectional FRCs (UD-FRCs). First, a variety of mechanical properties test experiments are carried out to obtain the real EEPs of UD-FRCs for the preparation of the optimization analysis. Then, a microscopic structural UD-RVU is established according to the fiber distribution of the UD-FRCs, and the corresponding ABAQUS/Python code that is used to characterize the EEPs is developed based on asymptotic homogenization theory. Finally, a complete optimization analysis, which is used for balancing simulation time and characterization accuracy, is performed to obtain the optimum mesh size of the multiscale finite element model. The optimized results reveal that the global mesh size of approximately 0.7 μm is the most optimal mesh, which has high accuracy and high simulation efficiency for characterizing the EEPs of UD-FRCs. The maximum error is close to 4.23% compared with experiments, which has a higher precision than the conventional calculation model, and the characterization model is reported in the literature.

Keywords: fiber reinforced; effective elastic; model; optimization; mesh size

Journal Title: Journal of Materials Engineering and Performance
Year Published: 2020

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.