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: 2033977
• 负责人: Antoinette Maniatty
• 金额: $ 32.89万
• 依托单位: Rensselaer Polytechnic Institute
• 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: 2021-08-31 至 2024-08-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2033977&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.

这项协作研究将探讨温度和湿度的孤立显微镜限制如何影响纤维状多孔材料（例如面罩）的机械性能。在复杂环境下，在航空航天，生物工程，能源，电子等在现有和新兴技术中应用纤维多孔材料在应用中的急剧增长需要深入了解并量化对此类系统机械性能的热和水分影响。该项目的重点是开发一个数值框架，该框架揭示了纤维多孔材料的微力学以及对其宏观性能的影响。该项目的结果将是通过机器学习（ML）知情均质化的首个型热杂种机械组成模型，可在现实环境中捕获纤维状多孔材料的机械效应。该研究项目还将为妇女和代表性不足的少数群体的STEM参与提供出色的机会，以成为支持数据支持工程技术的未来领导者和创新者。该项目将开发计算模型，这些模型可以为纤维材料提供准确的预测，以限制具有vary型热和湿度的现实环境。纤维的多孔材料性能将高度取决于固有的微观结构特征，例如时间依赖性蒸气和水分传输，纤维蒸气相互作用，纤维变形，故障机理和微观结构演变。该项目的目的是：1）通过严格的数值研究探索以前未经详细探讨的显微镜现象中的新知识，这些知识通过严格的数值研究进行了复杂的瞬态多物理学相互作用，2）开发一种新型方法，将基于物理的ML算法结合起来，以使热 - 混合机械关系和3）的材料和3）的效果效果和未来的材料效果相结合。这些对象将回答以下两个科学问题：1）与热和湿度条件共存的微型结构域中局部变形的主要机制是什么？ 2）暴露于环境条件的纤维微力学如何通过宏观表现出来？ Answering these questions will advance the fundamental understanding of interactions between fiber and its surrounding environments at a micro-level and how the interaction between humidity, temperature, and fiber structures define the performance of fibrous porous materials as a whole.This award reflects NSF's statutory mission and has been deemed precious of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.