@Article{icces.2023.09250,
AUTHOR = {Zihao Yang, Shaoqi Zheng, Fei Han},
TITLE = {An Efficient Peridynamics Based Statistical Multiscale Method for Fracture in Composite Structure with Randomly Distributed Particles},
JOURNAL = {The International Conference on Computational \& Experimental Engineering and Sciences},
VOLUME = {27},
YEAR = {2023},
NUMBER = {4},
PAGES = {1--1},
URL = {http://www.techscience.com/icces/v27n4/55200},
ISSN = {1933-2815},
ABSTRACT = {This paper proposes a peridynamics-based statistical multiscale (PSM) framework to simulate the 
macroscopic structure fracture with high efficiency. The heterogeneities of composites, including the shape, 
spatial distribution and volume fraction of particles, are characterized within the representative volume 
elements (RVEs), and their impact on structure failure are extracted as two types of peridynamic 
parameters, namely, statistical critical stretch and equivalent micromodulus. At the microscale level, a bondbased peridynamic (BPD) model with energy-based micromodulus correction technique is introduced to 
simulate the fracture in RVEs, and then the computational model of statistical critical stretch is established 
through micromechanical analysis. Moreover, based on the statistical homogenization approach, the 
computational model of effective elastic tensor is also established. Then, the equivalent micromodulus can 
be derived from the effective elastic tensor, according to the energy density equivalence between classical 
continuum mechanics (CCM) and BPD models. At the macroscale level, a macroscale BPD model with the 
statistical critical stretch and the equivalent micromodulus is constructed to simulate the fracture in the 
macroscopic homogenized structures. The algorithm framework of the PSM method is also described. Twoand three-dimensional numerical examples illustrate the validity, accuracy and efficiency of the proposed 
method.},
DOI = {10.32604/icces.2023.09250}
}