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Uncertainty Quantification in PDE-Based Modelling and Optimization

Uncertainty Quantification in PDE-Based Modelling and Optimization
基于 PDE 的建模和优化中的不确定性量化
批准号:
RGPIN-2018-06592
负责人:
Laforest, Marc
金额:
$1.31万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
翻译
在许多当代工程挑战中,发生在不同长度尺度上的复杂多物理级联决定了宏观现象。本研究计划将集中在两个问题,其中简单的宏观现象是在较低尺度的复杂相互作用的结果。具体来说,我们将问1)如何交流损耗超导体内部的表面附近的涡柱微米的相互作用,以及2)如何饱和土壤可能会突然失去他们的阻力时,小振动导致孔隙压力的增加。在这两种情况下,我们将从数学的角度来研究微米过程,以测量这些固有的不稳定过程如何导致定义明确和稳定的宏观尺度量。我们的重点将是系统的稳定性,以及如何在较低尺度的不确定性,要么相互否定,或相互合作,有助于宏观量。 * 高温超导体是新一代超导体,可以用液氮冷却,而不是昂贵且难以管理的液氦。它们的生产成本已经大幅下降,但它们对MRI机器,MagLev列车甚至变压器和故障电流限制器等高功率设备的革命性应用的承诺尚未实现,因为数值模型的计算成本太高,无法实现迭代和自适应设计。估算交流负载期间产生的交流损耗非常重要,因为这些通常是必须最小化的主要设计参数。不幸的是,交流损耗与涡流柱、外部电场和超导体内的不均匀性之间的微妙相互作用有关。* 虽然我们在由毫米颗粒形成的压实土壤上行走和建造,但总的来说,它们作为固体,可以承受难以置信的压力。然而,当某些土壤变得水饱和时,微小的振动可能导致孔隙之间的流体压力增加,从而将颗粒推开。这种现象被称为液化,是圣劳伦斯河谷许多灾难性事件的根源,部分原因是该地区含有大量的勒达粘土,容易受到这种现象的影响。我们打算开发一种新的随机模型,将有助于隔离颗粒的几何形状,负责土壤的宏观性质的属性的颗粒组装。这个新的模型也将引入新的方法来测量这些土壤的稳定性扰动,特别是在这种异质组件固有的不确定性。
英文摘要
In many of the contemporary engineering challenges, a cascade of complex multiphysics occurring at different length scales determines macroscopic phenomena. This research program will focus on two problems where simple macroscopic phenomena are the result of complex interactions at the lower scales. Specifically we will ask 1) how AC losses inside superconductors are caused by the micrometer interaction of vortex columns near the surface, and 2) how saturated soils may suddenly lose their resistance when small vibrations lead to an increase in pore pressure. In both cases, we will be examining the micrometer processes for a mathematical perspective in order to measure how those inherently unstable processes lead to well-defined and stable macroscale quantities. Our focus will be on the stability properties of the systems and how uncertainties at the lower scales either negate each other, or cooperate with each other, to contribute to macroscale quantities. ***High-temperature superconductors are a new generation of superconductors that can be cooled with liquid nitrogen, rather than expensive and difficult to manage liquid helium. Their production costs have been decreasing dramatically, but their promise of revolutionizing applications such as MRI machines, MagLev trains, or even high-power devices such as transformers and fault-current limiters, has yet to come to fruition because the numerical models are too computationally costly to enable iterative and adaptive design. It is important to estimate the AC losses generated during AC loading because these will often be the main design parameter that must be minimized. Unfortunately, AC losses are related to subtle interactions between vortex columns, the external electric field, and heterogeneities within the superconductor. ***Although we walk and build on compacted soils formed of millimeter grains, overall they act as solids and can sustain incredible amounts of stress. Yet, when certain soils become water-saturated, small vibrations may lead to increases in the pressure of the fluid between the pores, hence pushing the grains apart. This phenomena is called liquefaction and has been at the origin of many catastrophic events in the St-Lawrence Valley, in part because the region contains large deposits of Leda clay which are susceptible to such phenomena. We intend to develop a novel stochastic model for assemblies of grains that will help to isolate the properties of grain geometries that are responsible for the macroscale properties of soils. This new model will also introduce new methods to measure the stability of these soils to perturbations, and in particular to the uncertainties inherent in such heterogeneous assemblies.
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Uncertainty Quantification in PDE-Based Modelling and Optimization
  • 批准号:
    RGPIN-2018-06592
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.31万
  • 财政年份:
    2022
  • 负责人:
    Laforest, Marc
  • 依托单位:
Uncertainty Quantification in PDE-Based Modelling and Optimization
  • 批准号:
    RGPIN-2018-06592
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.31万
  • 财政年份:
    2021
  • 负责人:
    Laforest, Marc
  • 依托单位:
Uncertainty Quantification in PDE-Based Modelling and Optimization
  • 批准号:
    RGPIN-2018-06592
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.31万
  • 财政年份:
    2020
  • 负责人:
    Laforest, Marc
  • 依托单位:
Uncertainty Quantification in PDE-Based Modelling and Optimization
  • 批准号:
    RGPIN-2018-06592
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.31万
  • 财政年份:
    2019
  • 负责人:
    Laforest, Marc
  • 依托单位:
国内基金
海外基金
Identification and quantification of primary phytoplankton functional types in the global oceans from hyperspectral ocean color remote sensing
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    160万元
  • 批准年份:
    2022
  • 负责人:
    李忠平
  • 依托单位: