Collaborative Research: A Multiscale Thermo-Hygro-Mechanical Investigation of Fibrous Porous Materials

合作研究：纤维多孔材料的多尺度热湿机械研究

• 批准号: 2033979
• 负责人: Pania Newell
• 金额: $ 22万
• 依托单位: University of Utah
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2033979&HistoricalAwards=false
• 关键词: Collaborative; Research; Multiscale; Thermo; Hygro

This collaborative research will explore how an isolated microscale confinement of temperature and humidity impacts the mechanical performance of a fibrous porous material such as face masks. Dramatic growth in the application of fibrous porous materials in existing and emerging technologies in aerospace, bioengineering, energy, electronics, etc. under complex environments demands an in-depth understanding and quantifying the thermal and moisture effects on mechanical performance of such systems. The project is focused on developing a numerical framework that unveils the micro-mechanics of fibrous porous materials and the impacts on their macroscopic performance. The outcome of this project will be a first-of-a-kind thermo-hygro-mechanical constitutive model through machine learning (ML) - informed homogenization that captures the mechanical effects of fibrous porous materials in a realistic environment. This research project will also provide exceptional opportunities for STEM participation of women and underrepresented minorities to become the future leaders and innovators of data-enabled engineering technologies.This project is to develop computational models that can provide accurate prediction of a fibrous material’s performance in the confinement of a real-world environment with varying thermal and humidity. The fibrous porous material performance will be highly dependent on the inherent microstructural features such as time-dependent vapor and moisture transports, fiber-vapor interactions, fiber deformations, failure mechanisms, and microstructure evolution. The objectives for this project are: 1) uncovering new knowledge in microscale phenomena that have not previously been explored in detail involving complex transient multi-physics interactions through rigorous numerical investigations, 2) developing a novel approach that combines the physics-based ML algorithms to draw thermo-hygro-mechanical relationships, and 3) establishing a virtual material testing platform that enables the future design of fibrous porous materials with high mechanical efficiency and performance. These objectives will answer the following two scientific questions: 1) what are the principal mechanisms of localized deformation in a micro-confined domain with the co-existence of thermal and moisture conditions? 2) how does micromechanics of fiber exposed to environmental conditions manifest through macroscale? Answering these questions will advance the fundamental understanding of interactions between fiber and its surrounding environments at a micro-level and how the interplay between humidity, temperature, and fiber structures defines the performance of fibrous porous materials as a whole.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这项合作研究将探讨温度和湿度的孤立微尺度限制如何影响纤维多孔材料（例如口罩）的机械性能。纤维多孔材料在航空航天、生物工程、能源、电子领域的现有和新兴技术中的应用急剧增长。等在复杂环境下需要深入了解和量化热和湿度对此类系统机械性能的影响，该项目致力于开发一个揭示纤维微观力学的数值框架。该项目的成果将是通过机器学习（ML）获取纤维多孔材料的机械效应的第一个热-湿-机械本构模型。该研究项目还将为女性和代表性不足的少数族裔的 STEM 参与提供绝佳的机会，使其成为数据驱动的工程技术的未来领导者和创新者。该项目旨在开发能够提供准确数据的计算模型。纤维材料在温度和湿度变化的现实环境中的性能预测纤维多孔材料的性能将高度依赖于固有的微观结构特征，例如时间依赖性蒸汽和水分传输、纤维-蒸汽相互作用、该项目的目标是：1）通过严格的数值研究揭示以前未详细探索过的涉及复杂瞬态多物理相互作用的微尺度现象的新知识， 2）开发一种结合基于物理的机器学习算法来绘制热-湿-机械关系的新颖方法，3）建立一个虚拟材料测试平台，使未来设计的纤维多孔材料具有高机械效率和性能。以下两个科学问题：1）在热和湿条件共存的微观限制域中局部变形的主要机制是什么？2）暴露在环境条件下的纤维的微观力学如何表现？回答这些问题将增进对微观层面上纤维与其周围环境之间相互作用的基本理解，以及湿度、温度和纤维结构之间的相互作用如何定义纤维多孔材料的整体性能。该奖项反映了通过使用基金会的智力价值和更广泛的影响审查标准进行评估，NSF 的法定使命被认为值得支持。