Randomized trial establishes a multiscale framework enhancing modeling of rubber materials, highlighting new design avenues.
Rubber materials exhibit complex mechanical behavior characterized by superelasticity and viscoelasticity, making them critical for applications in soft robotics, sensors, and aerospace. However, a fundamental gap exists between molecular-level insights and macroscopic engineering models, limiting the predictive design of rubber materials. Traditional phenomenological models successfully fit experimental data but lack physical interpretability, while molecular statistical theory-based approaches are predominantly equilibrium-based and lack explicit mechanisms to track time-dependent network evolution, their critical parameters are typically treated as adjustable fitting parameters rather than being directly computed from molecular simulations. To address these challenges, we present a novel multiscale computational framework that establishes a direct and physically meaningful pathway from molecular simulations to macroscopic constitutive modeling. The key innovation lies in the explicit use of molecular parameters derived from coarse-grained molecular dynamics (CGMD) simulations to inform macroscopic constitutive models. Our framework tracks and quantifies specific molecular-level phenomena during the deformation process and systematically translates these microstructural insights into macroscopic model parameters through rigorously derived scale-bridging transfer functions. Furthermore, we incorporate a time-dependent viscoelastic formulation with relaxation terms directly derived from molecular network dynamics, capturing rate-dependent behavior often overlooked by traditional models. The complete implementation involves four stages: CGMD simulations for efficient molecular-level data generation, establishment of molecular-to-macroscale transfer functions, implementation through user-defined material subroutines (UMAT) integrated with finite element frameworks, and validation through uniaxial tensile and extended finite element method (XFEM)-based fracture simulations. This multiscale pipeline maintains physical interpretability at each stage while providing accurate predictions of both conventional mechanical responses and complex failure mechanisms, offering a powerful computational tool for rational design and optimization of rubber materials in advanced engineering applications.
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Wei et al. (2026) studied this question.
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