Microfluidic Fabrication of Self-Healing Microfibers for Composite Construction Materials
用于复合建筑材料的自修复微纤维的微流体制造
基本信息
- 批准号:0900582
- 负责人:
- 金额:$ 27.49万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-07-01 至 2014-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The research objective of this project is to fabricate self-healing microfibers and investigate the impact of their shape and size on their self-healing performance. These microfibers will be embedded into construction material (e.g., asphalt in the proposed project) to form a self-healing composite. When this composite develops a crack, the microfibers will be ruptured to release healing agents that can automatically restore the integrity and toughness of the composite. Novel microfluidic devices will be developed to form and solidify microfibers with healing agents encapsulated in them. The proposed self-healing microfibers are expected to outperform existing spherical microcapsules even when used in lower concentrations. The research project will provide a fabrication platform with unique controllability and flexibility. Therefore, it will enable the researchers to investigate how the shape and size of the microfibers affect their self-healing performance by employing the proposed micromechanical modeling and experimental techniques. As a result, a guideline will be provided for the design and implementation of future self-healing systems.Successful completion of this project will contribute to the nation?s goal of employing more durable construction material so as to provide safer and more sustainable transportation infrastructure systems. The proposed research holds the promise to benefit engineering structures ranging from microelectronic devices to spacecraft, bridges, and other large infrastructures. It can potentially contribute to the commercialization and broad applications of self-healing materials by improving performance and reducing costs. Research results will be widely disseminated through publications to inspire further investigation and stimulate future interdisciplinary collaboration on self-healing materials. Education and outreach activities, such as undergraduate enterprise and summer youth programs, are also planned for a diverse group of students, including minority and female students.
本课题的研究目标是制备自愈微纤维,并研究其形状和尺寸对其自愈性能的影响。这些微纤维将被嵌入建筑材料(例如,拟议项目中的沥青)中,形成自愈复合材料。当这种复合材料出现裂缝时,微纤维将断裂,释放出愈合剂,可以自动恢复复合材料的完整性和韧性。新型的微流控装置将被开发出来以形成和固化包封在其中的愈合剂的微纤维。即使在较低浓度下使用,所提出的自修复微纤维也有望优于现有的球形微胶囊。该研究项目将提供一个具有独特可控性和灵活性的制造平台。因此,这将使研究人员能够通过采用所提出的微力学建模和实验技术来研究微纤维的形状和尺寸如何影响其自愈性能。因此,将为未来自愈系统的设计和实施提供指导。这个项目的成功完成对国家有贡献吗?美国的目标是采用更耐用的建筑材料,从而提供更安全、更可持续的交通基础设施系统。这项提议的研究有望使微电子设备、航天器、桥梁和其他大型基础设施等工程结构受益。它可以通过提高性能和降低成本,为自我修复材料的商业化和广泛应用做出潜在的贡献。研究成果将通过出版物广泛传播,以激发进一步的研究,并促进未来在自愈材料方面的跨学科合作。此外,还计划为包括少数民族学生和女学生在内的不同学生群体开展大学生创业和暑期青年项目等教育和拓展活动。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Qingli Dai其他文献
Micromechanical viscoelasto‐plastic models and finite element implementation for rate‐independent and rate‐dependent permanent deformation of stone‐based materials
- DOI:
10.1002/nag.861 - 发表时间:
2010-09 - 期刊:
- 影响因子:4
- 作者:
Qingli Dai - 通讯作者:
Qingli Dai
Prediction of Dynamic Modulus and Phase Angle of Stone-Based Composites Using a Micromechanical Finite-Element Approach
- DOI:
10.1061/(asce)mt.1943-5533.0000062 - 发表时间:
2010-06 - 期刊:
- 影响因子:3.2
- 作者:
Qingli Dai - 通讯作者:
Qingli Dai
Performance evaluation of glass powder as a partial precursor in alkali-activated slag (AAS) binder and recycled glass and steel fibers in AAS mortar
玻璃粉作为碱激活矿渣(AAS)粘结剂中部分前驱体以及在 AAS 砂浆中使用再生玻璃和钢纤维的性能评估
- DOI:
10.1016/j.conbuildmat.2025.140757 - 发表时间:
2025-04-25 - 期刊:
- 影响因子:8.000
- 作者:
Peifeng Su;Sunday Eniola;Jiankai Xie;Xiang Zhao;Chigozirim Ugboaja;Miaomiao Li;Ruizhe Si;Qingli Dai;Yuhuan Fei;Yun Hang Hu - 通讯作者:
Yun Hang Hu
Microstructure characterization of alkali-glass particle and alkali-glass powder reacted gels with neutron scattering and imaging techniques
用中子散射和成像技术表征碱玻璃颗粒和碱玻璃粉末反应凝胶的微观结构
- DOI:
10.1016/j.matchar.2017.07.006 - 发表时间:
2017 - 期刊:
- 影响因子:4.7
- 作者:
Xiao Sun;Shuaicheng Guo;Qingli Dai;Xianghui Xiao - 通讯作者:
Xianghui Xiao
Surface layer modulus prediction of asphalt pavement based on LTPP database and machine learning for Mechanical-Empirical rehabilitation design applications
- DOI:
10.1016/j.conbuildmat.2022.128303 - 发表时间:
2022-08-15 - 期刊:
- 影响因子:
- 作者:
Miaomiao Li;Qingli Dai;Peifeng Su;Zhanping You;Yunxiang Ma - 通讯作者:
Yunxiang Ma
Qingli Dai的其他文献
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{{ truncateString('Qingli Dai', 18)}}的其他基金
Collaborative Research: Nexus of Simulation, Sensing and Actuation for Aerodynamic Vibration Reduction of Wind Turbine Blades
合作研究:风力涡轮机叶片气动减振仿真、传感和驱动的结合
- 批准号:
1300970 - 财政年份:2013
- 资助金额:
$ 27.49万 - 项目类别:
Standard Grant
Collaborative Research: Understanding Mechanism of Internal Frost-Induced Damage of Concrete from Microstructure Aspects
合作研究:从微观结构角度认识混凝土内部冻害机理
- 批准号:
0900015 - 财政年份:2009
- 资助金额:
$ 27.49万 - 项目类别:
Standard Grant
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