MRI: Acquisition of a High Performance Data Acquisition System to Enable Experimental and Computational Research on the System Level Response of the Built Environment
MRI: Acquisition of a High Performance Data Acquisition System to Enable Experimental and Computational Research on the System Level Response of the Built Environment
批准号:
2020745
负责人:
Lelli VanDenEinde
金额:
$60.77万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-07-15 至 2021-12-31
中文摘要
该主要研究仪器(MRI)奖支持在加州大学圣地亚哥分校的NSF大型高性能室外振动台(LHPOST)进行基础研究的多功能高性能数据采集系统(DAQ)。为了提高基础知识,收集和传播高度准确的地震工程实验数据集是至关重要的。这种关于地震期间民用基础设施系统级行为的数据——从开始破坏到开始倒塌——很少。具有核磁共振成像功能的LHPOST设施将使研究人员能够对复杂的大型民用基础设施系统进行深入的地震响应研究,从而突破弹性社区知识的界限,并有助于加强设计规范和标准,以促进公共安全。研究活动将广泛影响科学、技术和工程实践,从新的DAQ系统收集的数据将整合到课程作业中,将实验室经验带入课堂,惠及大量学生,特别是代表性不足的学生。LHPOST目前正在从目前的单自由度(SDOF)配置升级到完整的六自由度(6-DOF)功能,以重现地震期间经历的地面运动的所有六个分量。DAQ系统将补充这一升级,提供更高的分辨率(24位,768通道,每通道最大采样率25.6 kS/秒),通过用户可配置的数字抗混叠滤波器提供卓越的混叠抑制,以及不同通道之间的零偏差时间,从而实现从非常小的(环境振动)到非常大的(地震测试)运动的精确记录。这将促进关键地标数据集的生成,以支持民用基础设施系统的高保真3D计算模型的开发、校准和验证,从而逐步将当前对物理测试的依赖转变为基于模拟的评估和设计。该仪器将有助于实现土-结构相互作用、混合测试和动态加载期间结构响应测量的潜在变革性研究。该仪器提供的高质量数据将通过自然灾害工程研究基础设施(NHERI)存储库提供,该存储库为全球研究人员社区提供服务,并促进合作研究。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值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 Major Research Instrumentation (MRI) award supports the acquisition of a versatile, high-performance data acquisition system (DAQ) for fundamental research at the NSF Large High-Performance Outdoor Shake Table (LHPOST) at UC San Diego. To advance fundamental knowledge, it is vital to collect and disseminate highly accurate earthquake engineering experimental datasets that are well documented. Such data on system-level behavior of civil infrastructure during earthquakes--from the initiation of damage to the onset of collapse--are scarce. The MRI- enabled LHPOST facility will allow researchers to conduct in-depth seismic response studies of complex large-scale civil infrastructure systems—pushing the boundaries of knowledge on resilient communities and contributing to enhanced design codes and standards to promote public safety. Research activities will broadly impact science, technology and engineering practice and the data collected from the new DAQ system will be integrated into course work that will bring the laboratory experience into the classroom, reaching a large number of students, particularly underrepresented students. The LHPOST is currently being upgraded from its current single-degree-of-freedom (SDOF) configuration to a full six-degree-of-freedom (6-DOF) capability-- to reproduce all six components of ground motion experienced during earthquakes. The DAQ system will complement this upgrade--providing higher resolution (24-bit, 768 channels, max sampling rate of 25.6 kS/sec per channel), superior aliasing rejection with user-configurable digital anti-aliasing filters, and zero skew time between different channels, thus enabling accurate recordings from very small (ambient vibrations) to very large (seismic testing) motions. This will facilitate the generation of critical landmark datasets to support the development, calibration, and validation of high-fidelity 3D computational models of civil infrastructure systems that will progressively shift the current reliance on physical testing to simulation-based assessment and design. The instrumentation will help to enable potentially transformative research on soil-structure interaction, hybrid testing and measurement of structural response during dynamic loading. The high-quality data enabled by this instrumentation will be made available through the Natural Hazards Engineering Research Infrastructure (NHERI) repository—serving a global community of researchers and catalyzing collaborative research.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.
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批准号:1831294
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项目类别:Standard Grant
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资助金额:$74.27万
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财政年份:2018
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负责人:Lelli VanDenEinde
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依托单位:
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批准号:0421511
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项目类别:Standard Grant
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资助金额:$35.0万
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财政年份:2004
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负责人:Lelli VanDenEinde
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依托单位:
海外基金