An integrated computational framework for simulating the failure response of carbon fiber reinforced polymer composites

Computational Mechanics - Tập 60 - Trang 1033-1055 - 2017
Hossein Ahmadian1, Bowen Liang2, Soheil Soghrati2,3
1Department of Integrated Systems Engineering, The Ohio State University, Columbus, USA
2Department of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, USA
3Department of Materials Science and Engineering, The Ohio State University, Columbus, USA

Tóm tắt

A new computational framework is introduced for the automated finite element (FE) modeling of fiber reinforced composites and simulating their micromechanical behavior. The proposed methodology relies on a new microstructure reconstruction algorithm that implements the centroidal Voronoi tessellation (CVT) to generate an initial uniform distribution of fibers with desired volume fraction and size distribution in a repeating unit cell of the composite. The genetic algorithm (GA) is then employed to optimize locations of fibers such that they replicate the target spatial arrangement. We also use a non-iterative mesh generation algorithm, named conforming to interface structured adaptive mesh refinement (CISAMR), to create FE models of the CFRPC. The CVT–GA–CISAMR framework is then employed to investigate the appropriate size of the composite’s representative volume element. We also study the strength and failure mechanisms in the CFRPC subject to varying uniaxial and mixed-mode loadings.

Tài liệu tham khảo

Klier T, Linn J (2010) Corporate average fuel economy standards and the market for new vehicles. Resources for the future discussion paper, pp 10–68

National Research Council (US) (2008) Committee on integrated computational materials engineering. In: Pollock TM, Allison JE, Backman DG, Boyce C, Gersh M, Holm EA, LeSar R, Long M, Powell IV AC, Schirra JJ, Whitis DD, Woodward Ch (eds) Integrated computational materials engineering: a transformational discipline for improved competitiveness and national security. National Academies Press, Washington

LLorca J, González C, Molina-Aldareguía JM, Segurado J, Seltzer R, Sket F, Rodríguez M, Sádaba S, Muñoz R, Canal LP (2011) Multiscale modeling of composite materials: a roadmap towards virtual testing. Adv Mater 23(44):5130–5147

Beasley D, Martin RR, Bull DR (1993) An overview of genetic algorithms: part 1. fundamentals. Univ Comput 15:58–58

Soghrati S, Nagarajan A, Liang B (2017) Conforming to interface structured adaptive mesh refinement technique for modeling heterogeneous materials. Comput Mech 125:24–40