이방성 헤르츠 접촉 이론을 도입한 Hybrid PINN 기반 적층 복합재의 층간 전단 응력 예측 = Prediction of Interlaminar Shear Stress in Laminated Composites using Hybrid PINN incorporated with Anisotropic Hertzian Contact Theory

다국어 초록 (Multilingual Abstract)

Interlaminar shear stress in laminated composites is a critical factor governing the initiation of delamination and overall structural integrity, and the short-beam shear test is widely used to evaluate this behavior. However, due to the complex contact-shear interactions that arise near the indenter and support regions, classical beam theory and finite element analysis-based approaches suffer from limitations in terms of computational cost and modeling efficiency. To address these issues, this study proposes a Hybrid Physics-Informed Neural Network (Hybrid PINN) framework for predicting interlaminar shear stress by incorporating anisotropic Hertzian contact theory. The proposed model embeds the governing equations of an orthotropic elastic solid under plane stress conditions into the loss function and imposes the load-dependent contact pressure distribution as a physical constraint. In addition, reference data obtained from finite element analysis are used to guide the early stage of training, thereby improving convergence stability and prediction accuracy. Validation under short-beam shear test conditions demonstrates that the Hybrid PINN successfully reproduces interlaminar shear stress distributions that are qualitatively consistent with FEA results, while the maximum interlaminar shear stress is predicted within 1% error. These findings indicate that the proposed approach provides an efficient alternative for predicting interlaminar shear stress in laminated composites.