Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Based on the microstructure of PFPC, this article proposes a grading construction model that conforms to the normal distribution law by observing the distribution characteristics of the particles. A RVE random placement modeling program is developed using Python language, and an RVE model containing irregular polygonal particles is constructed, providing an effective new method for microfinite element modeling of PFPC. The validity of the model is proved by comparing the simulation results of the composites stress–strain behavior and the experimental results. The effects of particle volume fraction and particle size distribution on crack extension are analyzed using this microfinite element model, and their influence on the fracture properties of the composites is discussed. The results show that the initiation location and propagation direction of cracks in the material are influenced by the particle size, size distribution, and loading conditions. With the increase of particle volume content, the fracture properties of particles increase first and then decreased. When the volume fraction of particles is certain, the fracture property decreases with the increase of the mean value of particle size. The fracture properties of the composites can be improved by regulating the combination of particles with appropriate SD of particle size.Highlights Developed a program for random particle placement using Python language. Established an RVE model incorporating irregular polygonal particles. Simulated the initiation and propagation process of cracks in composites. Studied particle volume fraction's impact on PFPC fracture properties. Studied particle size distribution's effect on PFPC fracture properties.
Based on the microstructure of PFPC, this article proposes a grading construction model that conforms to the normal distribution law by observing the distribution characteristics of the particles. A RVE random placement modeling program is developed using Python language, and an RVE model containing irregular polygonal particles is constructed, providing an effective new method for microfinite element modeling of PFPC. The validity of the model is proved by comparing the simulation results of the composites stress–strain behavior and the experimental results. The effects of particle volume fraction and particle size distribution on crack extension are analyzed using this microfinite element model, and their influence on the fracture properties of the composites is discussed. The results show that the initiation location and propagation direction of cracks in the material are influenced by the particle size, size distribution, and loading conditions. With the increase of particle volume content, the fracture properties of particles increase first and then decreased. When the volume fraction of particles is certain, the fracture property decreases with the increase of the mean value of particle size. The fracture properties of the composites can be improved by regulating the combination of particles with appropriate SD of particle size.Highlights Developed a program for random particle placement using Python language. Established an RVE model incorporating irregular polygonal particles. Simulated the initiation and propagation process of cracks in composites. Studied particle volume fraction's impact on PFPC fracture properties. Studied particle size distribution's effect on PFPC fracture properties.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.