Development of the RSA method for random short fiber reinforced elastomer composites with large fiber aspect ratios

A novel algorithm for significantly increasing the fiber volume fraction in the reconstruction model with large fiber aspect ratio

“…The maximum fiber volume fraction currently achievable is the jamming limit. The theoretical and experimental curves of the jamming limit with respect to fiber aspect ratio are proposed by Evans and Gibson [15] and are confirmed by many studies [1,6,7,16–18]. For instance, the jamming limit of the composites with fiber aspect ratio equaling to 70 is not more than 10% according to Evans’ curve.…”

“…The target fiber volume fraction Vft is set to be 40%, which is large enough to test the maximum fiber volume fraction Vfmax⁡ under the predefined conditions. The results of the proposed algorithm and the existing methods [1,7,16–18] as well as Evans’ jamming limit curves [15] are plotted in Figure 7. Some necessary discussions are given.…”

“…In Figure 7, the results of existing methods are divided into two classes. One includes methods for the reconstruction of 3D random fiber orientation distribution [7,17,18]. The other includes methods for the reconstruction of flow-plane random and slightly out of plane fiber orientation distribution (2.5D random fiber distribution) [1,16].…”

Multiscale analysis and experimental validation of the effective elastic modulus of epoxy-dioctahedral phyllosilicate clay composite

“…In continuum mechanics, for statistically homogeneous materials, an RVE is regarded as a picture of the material to be utilized to predict the resultant actual properties of a homogenized macroscopic model with a volume which is minute when likened to the macroscopic body and sufficiently enormous when likened to the microstructural size. RVE models play important part in the mechanism and dynamics of haphazard dissimilar materials, when forecasting their actual elastic properties [14,22,23,24].…”

“…Although, most of the reported findings have proven to be worthwhile, it was found out that most of the authors developed their RVE models via traditional approaches such as Voronoi Tessellation [23], Random Sequential Adsorption (RSA) algorithm [24] and Monte Carlo simulation [14]. Some of these approaches are sometimes cumbersome, intricate and time-consuming (might require learning of new programing language(s) with steep learning curve(s)).…”