High-performance numerical methods for modelling of granular flows and sediment dynamics

用于颗粒流和沉积物动力学建模的高性能数值方法

• 批准号: RGPIN-2017-06308
• 负责人: Shakibaeinia, Ahmad
• 金额: $ 2.11万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=636334
• 关键词: performance; numerical; methods; modelling; granular

Granular materials are made up of macroscopic small particles, of which sediment material is an important example. These materials are ubiquitous in nature and are the second-most manipulated material in industry (water being the first). Flow of granular materials plays a critical role in engineering, geophysical and environmental processes. It may seem confounding that in the today's world of scientific advancements, the flow of this most familiar form of matter remains largely unpredictable. This knowledge gap stems from the complex mechanical behaviour of these materials which may resemble those of solid, liquid (a non-Newtonian fluid) or even gas in different circumstances. The situation is still more complex when the granular material interacts with an ambient fluid like water. Predicting the behaviour of these so-called multiphase granular flows is critical to furthering today’s limited understanding of fluvial and coastal sediment dynamics, submarine landslides, or slurry flow in tailing ponds of mining operations.

颗粒物质是由宏观的小颗粒组成的，其中沉积物物质是一个重要的例子。这些材料在自然界中无处不在，是工业中第二大受操纵的材料（水是第一大）。颗粒物质的流动在工程、地球物理和环境过程中起着至关重要的作用。在当今科学进步的世界里，这种最熟悉的物质形式的流动在很大程度上仍然是不可预测的，这似乎令人困惑。这种知识差距源于这些材料的复杂机械行为，这些材料在不同情况下可能类似于固体，液体（非牛顿流体）甚至气体。当颗粒材料与周围流体（如水）相互作用时，情况更加复杂。预测这些所谓的多相颗粒流的行为是至关重要的，以促进今天的河流和沿海沉积物动力学，海底滑坡，或泥浆流在尾矿池的采矿作业的有限的理解。