论文标题
从颗粒状倒塌到浅水波：海啸产生的预测模型
From granular collapses to shallow water waves: A predictive model for tsunami generation
论文作者
论文摘要
在本文中，我们提出了一个预测模型，用于通过颗粒状柱塌陷到水层中产生的冲动波的振幅。该模型将晶粒的扩散动力学和浅水中波水动力学结合在一起，与大型实验室实验数据集进行了成功，并捕获了初始参数的影响，同时进行了准确的预测。此外，合理化了两个关键的无尺寸数字，即全球弗罗德数和浸没沉积物的相对体积。这些结果提供了简化而全面的物理描述，这些描述是由大规模的陆地滑坡，岩石或悬崖倒在浅水中产生的海啸波的产生。
In this article, we present a predictive model for the amplitude of impulse waves generated by the collapse of a granular column into a water layer. The model, which combines the spreading dynamics of the grains and the wave hydrodynamics in shallow water, is successfully compared to a large dataset of laboratory experiments, and captures the influence of the initial parameters while giving an accurate prediction. Furthermore, the role played on the wave generation by two key dimensionless numbers, i.e., the global Froude number and the relative volume of the immersed deposit, is rationalized. These results provide a simplified, yet comprehensive, physical description of the generation of tsunami waves engendered by large-scale subaerial landslides, rockfalls, or cliff collapses in a shallow water.
