Non-destructive testing (NDT) increasingly incorporates computational and model-based approaches to enable indirect evaluation of material behavior without physical alteration or damage. In this context, digital and simulation-assisted strategies provide a pathway to infer internal material properties through externally observable responses. In this study, a software-based simulation framework is developed to support non-destructive assessment of polymer chain flexibility and dynamic response under thermal motion and externally applied forces. Polymer chain dynamics are modeled using a stochastic random-walker-based approach combined with molecular motion simulations implemented in the Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS), enabling representation of both equilibrium and force-driven behavior at the molecular level.

To establish relevance to NDT, the framework explicitly links internal chain conformation to quantifiable response descriptors that can serve as proxies for measurable signals. Key statistical metrics, including end-to-end distance distributions and mean-square displacement scaling, are extracted to characterize conformational evolution and flexibility under varying conditions. These descriptors provide a predictive basis for interpreting how polymer systems would respond to external probing, thereby enabling indirect inference of material properties without destructive mechanical testing.

Simulation results demonstrate systematic and reproducible changes in polymer chain conformation in response to applied forces, highlighting the sensitivity of the approach to flexibility-related parameters. Overall, this work establishes a simulation-assisted NDT paradigm in which molecular-level modeling supports non-invasive characterization of polymer materials and contributes to the integration of digital methodologies within emerging non-destructive testing frameworks.