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.
翻译:确定材料设计决定/参数及其有效特性之间的联系,可以加速材料的开发和优化。我们用一种替代模型对交织的复合热物理特性,包括密度、体积分数、热传导性、特定热量、模量、渗透性、以及通过中尺度有限元素模拟预测的腐蚀性进行全球灵敏分析。中尺度模拟对牵引和矩阵阶段使用微尺度近似值。我们对可行的输入参数范围进行了拉丁超立方取样,并用一种替代模型对由此产生的有效财产分布进行了分析,以确定材料参数与反应、特性与最终苏布尔指数和敏感度之间的相互关系。我们证明,构成的物理特性和中间尺度的几何性都对复合材料特性产生了强烈影响。