Continuous fiber unidirectional polymer matrix composites (PMCs) can exhibit significant local variations in fiber volume fraction as a result of processing conditions that can lead to further local differences in material properties and failure behavior. In this work, the coupled effects of both local variations in fiber volume fraction and the empirically-based statistical distribution of fiber strengths on the predicted longitudinal modulus and local tensile strength of a unidirectional AS4 carbon fiber/ Hercules 3502 epoxy composite were investigated using the special purpose NASA Micromechanics Analysis Code with Generalized Method of Cells (MAC/GMC); local effective composite properties were obtained by homogenizing the material behav...
It is well known that failure of a material is a locally driven event. In the case of ceramic matrix...
The compressive response of polymer matrix fiber reinforced unidirectional composites (PMC's) is inv...
Damage evolution within polymer matrix composites (PMCs) is difficult to characterize, as variabilit...
A modified Weibull cumulative distribution function, which accounts for the effect of fiber length o...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/97057/1/AIAA2012-1539.pd
The intrinsic scatter in tensile properties of unidirectional (UD) carbon/epoxy composites is due to...
A framework is presented that enables coupled multiscale analysis of composite structures. The recen...
This article is a U.S. government work, and is not subject to copyright in the United States
Abstract: A framework is presented that enables coupled multiscale analysis of composite structures....
International audienceIn this study, we aim to demonstrate how to predict macroscopic mechanical beh...
A new multiscale micromechanical approach is developed for the prediction of the behavior of fiber r...
peer-reviewedFibre reinforced composites exhibit a gradual damage accumulation to failure, with a m...
A framework for stochastic modelling and optimization of materials with engineered microstructures i...
A micromechanical approach can promote understanding of composite material failure mechanisms and in...
Ceramic matrix composites (CMCs) exhibit superior thermal stability in an elevated temperature envir...
It is well known that failure of a material is a locally driven event. In the case of ceramic matrix...
The compressive response of polymer matrix fiber reinforced unidirectional composites (PMC's) is inv...
Damage evolution within polymer matrix composites (PMCs) is difficult to characterize, as variabilit...
A modified Weibull cumulative distribution function, which accounts for the effect of fiber length o...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/97057/1/AIAA2012-1539.pd
The intrinsic scatter in tensile properties of unidirectional (UD) carbon/epoxy composites is due to...
A framework is presented that enables coupled multiscale analysis of composite structures. The recen...
This article is a U.S. government work, and is not subject to copyright in the United States
Abstract: A framework is presented that enables coupled multiscale analysis of composite structures....
International audienceIn this study, we aim to demonstrate how to predict macroscopic mechanical beh...
A new multiscale micromechanical approach is developed for the prediction of the behavior of fiber r...
peer-reviewedFibre reinforced composites exhibit a gradual damage accumulation to failure, with a m...
A framework for stochastic modelling and optimization of materials with engineered microstructures i...
A micromechanical approach can promote understanding of composite material failure mechanisms and in...
Ceramic matrix composites (CMCs) exhibit superior thermal stability in an elevated temperature envir...
It is well known that failure of a material is a locally driven event. In the case of ceramic matrix...
The compressive response of polymer matrix fiber reinforced unidirectional composites (PMC's) is inv...
Damage evolution within polymer matrix composites (PMCs) is difficult to characterize, as variabilit...