Zhaoyang Mul

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1paper

1 Paper

FLU-DYNOct 17, 2024
DamFormer: Generalizing Morphologies in Dam Break Simulations Using Transformer Model

Zhaoyang Mul, Aoming Liang, Mingming Ge et al.

The interaction of waves with structural barriers such as dams breaking plays a critical role in flood defense and tsunami disasters. In this work, we explore the dynamic changes in wave surfaces impacting various structural shapes, e.g., circle, triangle, and square, by using deep learning techniques. We introduce the DamFormer, a novel transformer-based model designed to learn and simulate these complex interactions. The model was trained and tested on simulated data representing the three structural forms.