REU SITE: Collaborative Research: Integrated Academia-Industry Research Experience for Undergraduate in Smart Structure Technology (IAIRESST)
REU 网站:合作研究:智能结构技术本科生学术界与工业界的综合研究经验 (IAIRESST)
基本信息
- 批准号:1659877
- 负责人:
- 金额:$ 14.44万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-10-01 至 2022-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The San Francisco State University (SFSU) and the University of South Carolina (USC) will collaborate with industrial partners to provide a Research Experiences for Undergraduates (REU) Site program entitled, Collaborative Research: Integrated Academia-Industry Research Experience for Undergraduate in Smart Structure Technology (IAIRESST),focusing on academia-industry collaborations in Smart Structures Technologies (SST). These technologies include innovative devices and techniques that make structures safer, less expensive to maintain, and able to provide additional services. This REU program will provide engineering undergraduate students a unique research experience in both academic and industrial settings through cooperative research projects. Experiencing research in both worlds is expected to help students transition from a relatively dependent status to an independent a status as their competence level increases. The model developed through this REU program may help to exemplify the establishment of a sustainable collaboration model between academia and industry that helps address the nation's need for mature, independent, informed, and globally competitive science, technology, engineering, and mathematics (STEM) professionals and is adapted to other disciplines. With increasing demands for high performance in structural systems, SST including advanced sensing, modern control, smart materials, optimization and novel testing, is receiving considerable attention as it has the potential to transform many fields in engineering, including civil, mechanical, aerospace, and geotechnical engineering. Currently, there is a significant gap between the engineering science with fundamental research in academia and engineering practice with potential implementation in the industry. This REU program will train undergraduate students to serve as the catalysts to facilitate the research infusion between academic and industrial partners. This student-driven joint venture between academia and industry will establish a virtuous circle for knowledge exchange and contribute to advancing both fundamental research and implementation of SST. To achieve these, the program will feature: formal training, workshops, and supplemental activities in the conduct of research in academia and industry; innovative research experience through engagement in projects with scientific and practical merits in both academic and industrial environments; experience in conducting laboratory experiments; and opportunities to present the research outcomes to the broader community at professional settings. The joint efforts among two institutions and industry partners provide the project team with extensive access to valuable resources, such as expertise to offer a wider-range of informative training workshops, advanced equipment, valuable data sets, experienced undergraduate mentors, and professional connections, that will facilitate a meaningful REU experience. Recruitment of REU participants will target 20 collaborating minority and primarily undergraduate institutions (15 of them are Hispanic-Serving Institutions) with limited STEM research capabilities.
旧金山州立大学 (SFSU) 和南卡罗来纳大学 (USC) 将与工业合作伙伴合作,提供本科生研究经验 (REU) 现场计划,题为“合作研究:智能结构本科生学术界与工业界的综合研究经验”技术(IAIRESST),专注于智能结构技术(SST)领域的学术界与工业界合作。这些技术包括创新的设备和技术,使结构更安全,维护成本更低,并能够提供额外的服务。该 REU 项目将通过合作研究项目为工程本科生提供学术和工业环境中独特的研究经验。随着能力水平的提高,在两个世界中经历研究有望帮助学生从相对依赖的状态过渡到独立的状态。通过该 REU 计划开发的模型可能有助于例证学术界和工业界之间建立可持续合作模式,有助于满足国家对成熟、独立、见多识广和具有全球竞争力的科学、技术、工程和数学 (STEM) 专业人员的需求并适应其他学科。随着对结构系统高性能的需求不断增加,包括先进传感、现代控制、智能材料、优化和新颖测试在内的SST正受到广泛关注,因为它有潜力改变工程领域的许多领域,包括土木、机械、航空航天和航空航天等。岩土工程。目前,学术界的工程科学基础研究与工业界的工程实践之间存在着巨大的差距。该 REU 项目将培训本科生,使其成为促进学术和工业合作伙伴之间研究注入的催化剂。这个由学生驱动的学术界和工业界合资企业将建立知识交流的良性循环,并有助于推进科学技术的基础研究和实施。为了实现这些目标,该计划将包括: 在学术界和工业界进行研究的正式培训、研讨会和补充活动;通过参与学术和工业环境中具有科学和实践价值的项目获得创新研究经验;进行实验室实验的经验;以及在专业环境中向更广泛的社区展示研究成果的机会。两个机构和行业合作伙伴的共同努力为项目团队提供了广泛的宝贵资源,例如提供更广泛的信息培训研讨会的专业知识、先进的设备、宝贵的数据集、经验丰富的本科生导师和专业联系,将促进有意义的 REU 体验。 REU 参与者的招募将针对 20 个 STEM 研究能力有限的少数族裔和主要本科院校(其中 15 个是拉美裔服务机构)。
项目成果
期刊论文数量(11)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
NSF REU SITE: Collaborative Research: Integrated Academia-Industry Research Experience for Undergraduates in Smart Structure Technology
NSF REU 网站:合作研究:智能结构技术本科生的学术界与工业界综合研究经验
- DOI:
- 发表时间:2018
- 期刊:
- 影响因子:0
- 作者:Jiang, Zhaoshuo;Caicedo, Juan;Petrulis, Robert.
- 通讯作者:Petrulis, Robert.
Probabilistic Assessment of Footfall Vibration
脚步振动的概率评估
- DOI:
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Hibbard, C.;Vial, K. J.;Fischer, A.;Sherrow-Groves, N.;Lozada, J. M.;Caicedo, J. M.;Jiang, Z.
- 通讯作者:Jiang, Z.
Improving Performance of Connected High-Rise Structures through the Use of Skybridges
通过使用天桥提高相连高层结构的性能
- DOI:
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Jiang, Z;Meier, A;Porretta, J;Belini, S;Caicedo, J;Wong, J;Shook, D;Henoch, R;Zhang, J.
- 通讯作者:Zhang, J.
An NSF REU Site with Integrated Academia-Industry Research Experience – Four Years on the Road
具有学术界与工业界综合研究经验的 NSF REU 站点 — 四年的历程
- DOI:
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Jiang, Z.;Caicedo, J. M.;& Petrulis, R.
- 通讯作者:& Petrulis, R.
An NSF REU Site with Integrated Academia-Industry Research Experience – Development, Implementation and Lesson-learned
具有学术界与工业界综合研究经验的 NSF REU 站点 — 开发、实施和经验教训
- DOI:10.18260/1-2--34140
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Jiang, Zhaoshuo;Caicedo, Juan;Petrulis, Robert
- 通讯作者:Petrulis, Robert
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Zhaoshuo Jiang其他文献
Engaging Community College Students in Earthquake Engineering Research with Smart Wearable Devices
利用智能可穿戴设备让社区学院的学生参与地震工程研究
- DOI:
10.18260/1-2--29215 - 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Alexander Sebastian Furlanic;Philip A. Thomas;Panfilo Jesus Armas;Rene Parra Medina;Jackie Lok;A. Enriquez;W. Pong;Cheng Chen;K. Teh;Xiaorong Zhang;H. Mahmoodi;Zhaoshuo Jiang - 通讯作者:
Zhaoshuo Jiang
Engaging Community College Students in Emerging Human-Machine Interfaces Research through Design and Implementation of a Mobile Application for Gesture Recognition
通过设计和实现手势识别移动应用程序让社区大学生参与新兴人机界面研究
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Kattia Chang;Karina Abad;Ricardo Jesus Colin;Charles P. Tolentino;C. Malloy;Alex David;A. Enriquez;W. Pong;Zhaoshuo Jiang;Cheng Chen;K. Teh;H. Mahmoodi;Hao Jiang;Xiaorong Zhang - 通讯作者:
Xiaorong Zhang
Using Infrasound-based Information for Non-destructive Structural Health Monitoring
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Zhaoshuo Jiang - 通讯作者:
Zhaoshuo Jiang
Implementation of a Probabilistic Structural Health Monitoring Method on a Highway Bridge
公路桥梁概率结构健康监测方法的实施
- DOI:
10.1155/2012/307515 - 发表时间:
2012 - 期刊:
- 影响因子:1.8
- 作者:
A. Scianna;Zhaoshuo Jiang;R. Christenson;J. DeWolf - 通讯作者:
J. DeWolf
Zhaoshuo Jiang的其他文献
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{{ truncateString('Zhaoshuo Jiang', 18)}}的其他基金
Collaborative Research: Aerodynamic Shape Optimization of Tall Buildings using Automated Cyber-Physical Testing
合作研究:利用自动化网络物理测试对高层建筑进行空气动力学形状优化
- 批准号:
2028647 - 财政年份:2021
- 资助金额:
$ 14.44万 - 项目类别:
Standard Grant
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