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NEESR-SG: Performance-Based Design and Real-time Large-scale Testing to Enable Implementation of Advanced Damping Systems

NEESR-SG: Performance-Based Design and Real-time Large-scale Testing to Enable Implementation of Advanced Damping Systems
NEESR-SG:基于性能的设计和实时大规模测试,以实现先进阻尼系统
批准号:
0830173
负责人:
Shirley Dyke
金额:
$120.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-01 至 2010-02-28

项目摘要

项目成果

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中文摘要
翻译
该奖项是NSF 08-519计划征集小乔治·E·布朗的成果。地震工程模拟(NEES)研究网络(NEESR)竞赛,包括华盛顿大学(牵头机构)、利哈伊大学(分奖)、伊利诺伊大学香槟-厄巴纳大学(分奖)、纽约城市大学学院(分奖)和康涅狄格大学(分奖)。该项目将利用利哈伊大学的NEES设备场地。先进的减震系统在减轻地震灾害方面显示出了巨大的前景。使用这些多功能装置的结构对恶劣载荷条件的适应性有望促进实现基于性能的结构设计的能力的重大进步。然而,由于缺乏适当的设计程序和足够的测试方法来验证这些系统,这种创新系统在实践中应用的速度一直很慢。这项技术的有效实施将需要建立和验证基于性能的设计方法,以最好地利用其独特的减振能力。模型验证和性能评估的大型试验可以通过对大型结构的拟动力(PSD)试验方法来实现。然而,当这些阻尼器集成到结构系统中时,它们表现出几种类型的复杂行为,不能在不实时的情况下充分再现。最近开发的实时混合测试方法允许关于可测试的结构和系统的类型的更大能力。这些方法需要对复杂结构系统进行验证。因此,有必要开展一项综合性研究,重点是对配备这种减振装置的结构进行大规模测试,以:i)展示采用先进减振装置的结构系统的典型性能设计方法;ii)验证用于验证和验收新的减振系统的适当大规模测试技术;iii)在本课程中验证针对大型结构系统的新型实时PSD测试方法;以及iv)对从业者和学生进行有关这些技术的教育,使其能够在美国实施先进的减振系统。磁流变液装置是一种特别有希望的减震系统,将在实验中使用,以利用先前的资金。如果使用得当,这些装置还可以模拟各种各样的被动减振系统,为未来的研究人员建立一个试验台。该项目将导致开发基于性能的先进减震系统设计程序和模拟能力,并验证用于土木工程应用的此类减振技术,实现NEES背后的基本愿景。大规模复杂结构的有效实时PSD测试方法的成功验证将打破目前阻碍这种创新系统大规模验证的障碍,并将使整个NEES能够进行实时PSD测试,从而有可能对比以往任何时候都测试过的更复杂的结构进行复杂的测试。与欧洲、日本和中国的研究人员建立了国际合作伙伴关系,以借鉴相关专业知识,并加强这一综合研究和教育计划的影响。行业合作者将为实践工程社区提供视角和需求。教育和技术转让计划的重点是面向各级不同的受众,包括:通过研究、课程模块以及关于测试程序和设备的培训来培养研究生和本科生;通过现有的合作伙伴关系培养区域的K-12学生;以及通过NEES网络研讨会培养工程师。为了进一步增加代表不足的学生参与这些研究和教育机会,纽约城市学院(一个少数族裔机构、一个西班牙裔服务机构和LSAMP成员)是这项努力的所有方面的合作伙伴。该项目网站将为感兴趣的研究人员、执业工程师和学生提供教育成果和信息。NEES工具和功能将在进行实验、执行项目以及归档和共享数据方面发挥不可或缺的作用。该项目的数据将通过NEES数据库(http://www.nees.org).)提供
英文摘要
This award is an outcome of the NSF 08-519 program solicitation George E. Brown Jr. Network for Earthquake Engineering Simulation (NEES) Research (NEESR) competition and includes Washington University (lead institution), Lehigh University (subaward), the University of Illinois Champaign-Urbana (subaward), City University of New York City College (subaward), and the University of Connecticut (subaward). This project will utilize the NEES equipment site at Lehigh University. Advanced damping systems have demonstrated great promise for seismic hazard mitigation. The adaptability of structures using these versatile devices to severe loading conditions is expected to facilitate major advances in the ability to achieve performance-based design of structures. However, such innovative systems have been slow to be used in practice due to a lack of appropriate design procedures and adequate testing methods to validate these systems. Effective implementation of this technology will require establishing and validating performance-based design methodologies that best exploit their unique damping capabilities. Large-scale testing for model validation and performance assessment can best be achieved through pseudo dynamic (PSD) test methods on large scale structures. However, when these dampers are integrated into a structural system, they exhibit several types of complex behaviors that cannot adequately be reproduced at less than real-time. Recently developed real-time hybrid testing methods allow greater abilities regarding the types of structures and systems that can be tested. These methods need to be validated for complex structural systems. These are compelling reasons for conducting an integrated study focusing on large-scale testing of structures equipped with such damping devices to: i) demonstrate a typical performance-based design methodology for a structural system employing advanced damping devices; ii) validate an appropriate large-scale testing technique for validation and acceptance of new damping systems; iii) validate novel real-time PSD testing methodologies for large-scale structural systems in this class; and iv) educate practitioners and students on these technologies, enabling implementation of advanced damping systems in the United States. Magnetorheological fluid devices, a particularly promising damping system, will be used in the experiments to leverage prior funding. With proper use, these devices can also mimic a wide variety of passive damping systems, allowing for establishment of a testbed for future researchers. This project will result in the development of appropriate performance-based design procedures and simulation capabilities regarding advanced damping systems, as well as validation of such damping technologies for civil engineering applications, realizing the fundamental vision behind NEES. The successful validation of an effective real-time PSD testing method for large-scale, complex structures will break down the barriers currently preventing the validation of such innovative systems at large-scale, and will enable real-time PSD testing throughout NEES, leading to the possibility of sophisticated testing of more complex structures than have ever been tested before. International partnerships with researchers in Europe, Japan and China are established to draw upon relevant expertise and to enhance the impact of this integrated research and education program. Industrial collaborators will provide the perspective of and needs for the practicing engineering community. Education and technology transfer plans are focused on targeting a diverse audience at all levels including: graduate and undergraduate students through research, course modules, and training on testing procedures and equipment; regional K-12 students through existing partnerships; and practicing engineers through a NEES webinar. To further increase the participation of underrepresented students in these research and educational opportunities, City College of New York (a minority institution, a Hispanic serving institution and LSAMP member) is a partner in all aspects of this effort. The project website will house educational outcomes and information for interested researchers, practicing engineers and students. NEES tools and capabilities will play an integral role in conducting the experiments, project execution, and archiving and sharing the data. Data from this project will be made available through the NEES data repository (http://www.nees.org).
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