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CAREER: Exploiting the Dynamic Dielectric Behavior of Water to Understand and Predict Polymer Composite Damage Progression

CAREER: Exploiting the Dynamic Dielectric Behavior of Water to Understand and Predict Polymer Composite Damage Progression
职业:利用水的动态介电行为来理解和预测聚合物复合材料的损伤进展
批准号:
1751482
负责人:
Landon Grace
金额:
$50.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-05-01 至 2024-04-30

项目摘要

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中文摘要
翻译
该学院早期职业发展计划(CALEAR)项目将专注于通过发现控制这些下一代材料中损伤演变的基本机制来提高聚合物复合材料的安全性和性能。在汽车、航空航天和民用基础设施行业对高强度、轻质材料的需求不断增加的推动下,聚合物复合材料的使用正在迅速增长。在这些主要是户外应用中,随着时间的推移,由于机械和环境应力的复杂和综合影响,材料性能发生变化,从而导致承载能力的丧失。对这些变化的基本了解对于结构在整个生命周期中的安全运行至关重要。为了得到这一理解,本研究项目中的实验方法利用了被吸收的大气水分子在损伤开始和发展过程中的介电行为的变化。通过跟踪水分子对振荡电磁场的响应而旋转的能力,可以测量材料化学和物理特性的早期和不可见的变化。对这些测量所产生的损害发展的机制的新的和有价值的见解将提高我们设计更坚固的材料和更好地预测即将到来的失败的能力,从而促进国家健康、繁荣、福利和国防。这项研究还将为来自农村和与世隔绝的城市社区的学生提供参加北卡罗来纳州立大学K-12暑期工程夏令营活动的机会。将开发和实施一个可持续的过程来包装和传播这些高价值的教育资源,将它们的影响扩大到参加现场夏令营的学生之外,并在可能不考虑或追求STEM职业的学生中提高可见度和工程学知识。研究的总体目标是推导聚合物复合材料损伤在空间尺度上响应热、吸湿和机械载荷耦合的机理基础。支持这一目标的具体目标是:(1)描述水-聚合物相互作用与纤维增强环氧树脂的拓扑结构、纳米孔洞含量、极性和湿热老化之间的联系;(2)将吸收的分子水对动态、疲劳和冲击载荷引起的多尺度损伤的响应联系起来;(3)使用神经网络技术提取控制损伤过程的显著变量,用于从机理上理解损伤的分子前体;(4)使实验和神经网络得出的见解与最先进的多尺度、多物理模拟技术的物理基础相一致。该项目将允许PI扩展力学和材料科学方面的知识库,使聚合物复合材料能够在多个行业中更安全、更高效地使用。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This Faculty Early Career Development Program (CAREER) project will focus on improving the safety and performance of polymer composites by discovering the fundamental mechanisms governing the evolution of damage in these next-generation materials. Polymer composite usage is growing rapidly; driven by increasing demand for high-strength, lightweight materials in the automotive, aerospace, and civil infrastructure industries. In these primarily outdoor applications, loss of load-bearing ability over time is driven by material property changes in response to the complex and combined effects of mechanical and environmental stresses. A fundamental understanding of these changes is crucial to safe operation throughout the life cycle of the structure. To derive this understanding, the experimental approach in this research project takes advantage of changes in dielectric behavior of absorbed atmospheric water molecules in response to damage initiation and progression. By tracking the ability of water molecules to rotate in response to an oscillating electromagnetic field, early and non-visible changes in the chemical and physical characteristics of the material can be measured. The new and valuable insight into the mechanisms responsible for the progression of damage derived from these measurements will improve our ability to design more robust materials and better predict impending failure, thus advancing national health, prosperity, welfare, and national defense. The research will be complemented by an effort to provide access to K-12 summer engineering camp activities at North Carolina State University for students from rural and isolated urban communities. A sustainable process for packaging and disseminating these high-value educational resources will be developed and implemented, expanding their impact beyond the students attending the on-site camps and increasing visibility and knowledge of engineering among students who may not otherwise consider or pursue STEM careers.The overarching goal of the research is to derive the mechanistic underpinnings of polymer composite damage progression across spatial scales in response to coupled thermal, hygroscopic, and mechanical loading. The specific objectives in support of this goal are to: (i) describe the link between water-polymer interaction and topology, nanovoid content, polarity, and hygrothermal aging of fiber-reinforced epoxies; (ii) connect the response of absorbed molecular water to multiscale damage induced by dynamic, fatigue, and impact loading; (iii) use a neural-network technique to extract the salient variables that govern damage progression for use in deriving a mechanistic understanding of the molecular precursors to damage; and (iv) reconcile the experimental and neural-network derived insights with the physical basis of state-of-the-art multiscale, multiphysics simulation techniques. This project will allow the PI to expand the knowledge base in mechanics and materials science, enabling safer and more efficient use of polymer composites across multiple industries.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.
期刊论文(14)
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科研奖励(0)
会议论文
DOI: 10.1021/acsapm.2c01570
发表时间: 2023-01
期刊: ACS Applied Polymer Materials
影响因子: 5
作者: [Rishabh D. Guha;E. Danilov;Katherine Berkowitz;Oluwatimilehin E. Oluwajire;L. Grace]
通讯作者: Rishabh D. Guha;E. Danilov;Katherine Berkowitz;Oluwatimilehin E. Oluwajire;L. Grace
DOI: 10.1016/j.compstruct.2022.115377
发表时间: 2022-02
期刊: Composite Structures
影响因子: 6.3
作者: [O. Idolor;Katherine Berkowitz;Rishabh Debraj Guha;L. Grace]
通讯作者: O. Idolor;Katherine Berkowitz;Rishabh Debraj Guha;L. Grace
Damage Detection in Polymer Matrix Composites by Analysis of Polymer-Water Interactions Using Near-Infrared Spectroscopy
使用近红外光谱分析聚合物-水相互作用来检测聚合物基复合材料的损伤
DOI: 10.12783/asc35/34874
发表时间: 2020
期刊: Proceedings of the American Society for Composites 35th Technical Conference
影响因子: --
作者: [IDOLOR, OGHENEOVO, GUHA, RISHABH, BERKOWITZ, KATHERINE, GRACE, LANDON]
通讯作者: GRACE, LANDON
A MACHINE LEARNING APPROACH FOR IMPACT DAMAGE QUANTIFICATION IN POLYMER MATRIX COMPOSITES
聚合物基复合材料冲击损伤量化的机器学习方法
DOI: 10.12783/asc37/36412
发表时间: 2022
期刊: American Society for Composites
影响因子: --
作者: [BERKOWITZ, KATHERINE, GUHA, RISHABH D., OLUWAJIRE, OLUWATIMILEHIN, GRACE, LANDON]
通讯作者: GRACE, LANDON
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