Uncertainty Quantification in Digital Twin Engineering

数字孪生工程中的不确定性量化

• 批准号: 2244571
• 金额: --
• 依托单位: University of Liverpool
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2244571
• 关键词: Uncertainty; Quantification; Digital; Twin; Engineering

Research will address the current and future challenges in uncertainty quantification, their propagation to performance and design decisions, and management for improving productivity. It includes methodologies for quantifying uncertainty based on probability logic and vague information using imprecise probability; appropriate methodology for uncertainty propagation for a variety of classes of models encountered in engineering designs; quantification of the remaining uncertainty in inverse problems, modelling errors and their effects; and the integration and interaction of uncertainty and design decisions. Of pressing need are practicable methods that can handle various kinds of uncertainty, that can be applied non-intrusively and that are scalable to large engineering simulations.The supervisor for this project will be Professor Scott Ferson of the Institute of Risk and Uncertainty at the University of Liverpool. Funding for this project will be provided by a DTG associated with the Digital Twins Programme Grant.

研究将解决当前和未来的挑战，在不确定性量化，他们的传播性能和设计决策，以及管理，提高生产力。它包括基于概率逻辑和使用不精确概率的模糊信息量化不确定性的方法;工程设计中遇到的各种模型的不确定性传播的适当方法;逆问题中剩余不确定性的量化，建模错误及其影响;以及不确定性和设计决策的集成和相互作用。迫切需要的是能够处理各种不确定性的实用方法，可以非侵入性地应用，并可扩展到大型工程模拟。该项目的主管将是利物浦大学风险与不确定性研究所的Scott Ferson教授。该项目的资金将由与数字双胞胎计划赠款相关的DTG提供。