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UNS: multiphase-UQ: Uncertainty Quantification Framework for Multiphase Flow Simulations

UNS：multiphase-UQ：多相流模拟的不确定性量化框架

基本信息

批准号：
1511325
负责人：
Mark Owkes
金额：
$ 27.64万
依托单位：
Montana State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2015
资助国家：
美国
起止时间：
2015-07-01 至 2019-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1511325&HistoricalAwards=false
关键词：
UNS multiphase UQ Uncertainty Quantification

项目摘要

1511325(Owkes)The goal of the proposal is to develop a novel methodology to quantify the uncertainty of computational fluid dynamic (CFD) simulations of gas-liquid multiphase flows. While a lot of effort has been spent on developing more accurate numerical techniques for simulations, the important question of the accuracy of computational results in the face of unavoidable uncertainty about fluid properties, boundary and initial conditions, which is present when real life engineering problems are simulated, has not been addressed.It is proposed to build upon recent developments for single-phase flows in order to couple uncertainty quantification and multiphase flow numerical techniques and to create a rigorous methodology for measuring output uncertainties from input uncertainties. Specifically, a framework for representing a stochastic interface with associated discontinuities will be developed. The PI will couple an interface capturing methods (level set and Volume of Fluid) with intrusive Uncertainty Quantification techniques to develop a stochastic level set method to represent discontinuous gas-liquid interfaces. This framework will be applicable for propagating uncertainty in other applications with discontinuities such as crack propagation in solid mechanics and fluid-structure interactions and will have the potential to change the way engineers study and predict these systems. Applications of multiphase flow occur quite commonly in the process and manufacturing industry. The simulations proposed can have applications to many areas, since a myriad of engineering and environmental flows including fuel injection, proton exchange membrane (PEM) fuel cells, nuclear power generation, concentrating-solar plants, biological flows, and wave energy harvesting devices are affected by multiphase flows. A dedicated website hosted at Montana State University will provide a central access point to the simulation parameters and data. Numerical codes and results developed during this project will be disseminated through the PI's website and through the library at Montana State University which provides open-access dissemination services.

1511325（Owkes）该提案的目标是开发一种新的方法来量化气液多相流的计算流体动力学（CFD）模拟的不确定性。虽然已经花费了大量的努力来开发用于模拟的更精确的数值技术，但是当模拟真实的生命工程问题时，在面对关于流体性质、边界和初始条件的不可避免的不确定性时，计算结果的准确性的重要问题，建议在最近发展的基础上，相流，以便耦合不确定性量化和多相流数值技术，并创建一个严格的方法来测量输入不确定性的输出不确定性。具体而言，一个框架，用于表示随机接口与相关的不连续性将被开发。PI将接口捕获方法（水平集和流体体积）与侵入式不确定性量化技术相结合，以开发一种随机水平集方法来表示不连续的气液界面。这个框架将适用于传播不确定性在其他应用中的不连续性，如固体力学和流体-结构相互作用中的裂纹扩展，并将有可能改变工程师研究和预测这些系统的方式。多相流的应用在过程和制造业中非常普遍。所提出的模拟可以应用到许多领域，因为无数的工程和环境流，包括燃料喷射，质子交换膜（PEM）燃料电池，核能发电，集中太阳能发电厂，生物流，和波能收集设备受到多相流。蒙大拿州立大学的一个专门网站将提供模拟参数和数据的中央访问点。在本项目期间开发的数字代码和结果将通过PI的网站和蒙大拿州立大学的图书馆传播，该图书馆提供开放式传播服务。