Mechanism-Based Insights and Ablation Study of Multi-Constraint Strategies for Physics-Informed Neural Networks in Shock-Dominated Dam-Break Flows
Physics-informed neural networks (PINNs) provide mesh-free approximation and rapid inference for dam-break flood simulations. However, the effectiveness and underlying mechanisms of different enhancement strategies for engineering-representative shock-dominated flows remain insufficiently understood. To address this is...