  Characterizing the connection between material design decisions/parameters
and their effective properties allows for accelerated materials development and
optimization. We present a global sensitivity analysis of woven composite
thermophysical properties, including density, volume fraction, thermal
conductivity, specific heat, moduli, permeability, and tortuosity, predicted
using mesoscale finite element simulations. The mesoscale simulations use
microscale approximations for the tow and matrix phases. We performed Latin
hypercube sampling of viable input parameter ranges, and the resulting
effective property distributions are analyzed using a surrogate model to
determine the correlations between material parameters and responses,
interactions between properties, and finally Sobol' indices and sensitivities.
We demonstrate that both constituent physical properties and the mesoscale
geometry strongly influence the composite material properties.
