@article{(Open Science Index):https://publications.waset.org/pdf/10001156,
	  title     = {Bridging Stress Modeling of Composite Materials Reinforced by Fibers Using Discrete Element Method},
	  author    = {Chong Wang and  Kellem M. Soares and  Luis E. Kosteski},
	  country	= {},
	  institution	= {},
	  abstract     = {The problem of toughening in brittle materials
reinforced by fibers is complex, involving all of the mechanical
properties of fibers, matrix and the fiber/matrix interface, as well as
the geometry of the fiber. Development of new numerical methods
appropriate to toughening simulation and analysis is necessary. In
this work, we have performed simulations and analysis of toughening
in brittle matrix reinforced by randomly distributed fibers by means
of the discrete elements method. At first, we put forward a
mechanical model of toughening contributed by random fibers. Then
with a numerical program, we investigated the stress, damage and
bridging force in the composite material when a crack appeared in the
brittle matrix. From the results obtained, we conclude that: (i) fibers
of high strength and low elasticity modulus are beneficial to
toughening; (ii) fibers of relatively high elastic modulus compared to
the matrix may result in substantial matrix damage due to spalling
effect; (iii) employment of high-strength synthetic fibers is a good
option for toughening. We expect that the combination of the discrete
element method (DEM) with the finite element method (FEM) can
increase the versatility and efficiency of the software developed. The
present work can guide the design of ceramic composites of high
performance through the optimization of the parameters.
},
	    journal   = {International Journal of Materials and Metallurgical Engineering},
	  volume    = {8},
	  number    = {11},
	  year      = {2014},
	  pages     = {782 - 787},
	  ee        = {https://publications.waset.org/pdf/10001156},
	  url   	= {https://publications.waset.org/vol/95},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 95, 2014},
	}