On mechanics and material length scales of failure in heterogeneous interfaces using a finite strain high performance solver

• Published in: Modelling and simulation in materials science and engineering 2015-12, Vol.23 (8), p.85014-37
• Main Authors: Mosby, Matthew, Matouš, Karel
• Format: Article
• Language: English
• Subjects: Computation; computational homogenization; Computer simulation; Damage; damage mechanics; heterogeneous adhesives; high-performance computing; Materials science; Mathematical analysis; Mathematical models; multiscale cohesive modeling; Three dimensional; Unit cell
• ISSN: 0965-0393; 1361-651X
• DOI: 10.1088/0965-0393/23/8/085014

Three-dimensional simulations capable of resolving the large range of spatial scales, from the failure-zone thickness up to the size of the representative unit cell, in damage mechanics problems of particle reinforced adhesives are presented. We show that resolving this wide range of scales in complex three-dimensional heterogeneous morphologies is essential in order to apprehend fracture characteristics, such as strength, fracture toughness and shape of the softening profile. Moreover, we show that computations that resolve essential physical length scales capture the particle size-effect in fracture toughness, for example. In the vein of image-based computational materials science, we construct statistically optimal unit cells containing hundreds to thousands of particles. We show that these statistically representative unit cells are capable of capturing the first- and second-order probability functions of a given data-source with better accuracy than traditional inclusion packing techniques. In order to accomplish these large computations, we use a parallel multiscale cohesive formulation and extend it to finite strains including damage mechanics. The high-performance parallel computational framework is executed on up to 1024 processing cores. A mesh convergence and a representative unit cell study are performed. Quantifying the complex damage patterns in simulations consisting of tens of millions of computational cells and millions of highly nonlinear equations requires data-mining the parallel simulations, and we propose two damage metrics to quantify the damage patterns. A detailed study of volume fraction and filler size on the macroscopic traction-separation response of heterogeneous adhesives is presented.