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We propose a stochastic framework based on sensitivity analysis (SA) methods to quantify the key-input parameters influencing the Young’s modulus of polymer (epoxy) clay nanocomposites (PCNs). The input parameters include the clay volume fraction, clay aspect ratio, clay curvature, clay stiffness and epoxy stiffness. All stochastic methods predict that the key parameters for the Young’s modulus are...
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