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：获取高性能数据采集系统，以便对建筑环境的系统级响应进行实验和计算研究

• 批准号: 2020745
• 负责人: Lelli VanDenEinde
• 金额: $ 60.77万
• 依托单位: University of California-San Diego
• 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
• 起止时间: 2020-07-15 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2020745&HistoricalAwards=false
• 关键词: MRI; Acquisition; Performance; Data; System

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.

这项重大研究仪器（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）的收购。为了推进基础知识，收集和传播有据可查的高精度地震工程实验数据集至关重要。 关于地震期间民用基础设施系统级行为的数据-从破坏开始到倒塌开始-是稀缺的。MRI支持的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，从而推动对弹性社区的知识边界，并有助于增强设计规范和标准，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系统收集的数据将被整合到课程工作中，将实验室经验带入课堂，接触大量学生，特别是代表性不足的学生。LHPOST目前正在从其当前的单自由度（SDOF）配置升级为全六自由度（6-DOF）能力-再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，每个通道的最大采样率为25.6 kS/sec），通过用户可配置的数字抗混叠滤波器提供上级混叠抑制，以及不同通道之间的零时滞，从而能够准确记录从非常小（环境振动）到非常大（地震测试）的运动。这将有助于生成关键的地标数据集，以支持民用基础设施系统高保真三维计算模型的开发、校准和验证，从而逐步将目前对物理测试的依赖转变为基于模拟的评估和设计。该仪器将有助于对土-结构相互作用、混合测试和动态加载过程中结构响应的测量进行潜在的变革性研究。 该仪器所支持的高质量数据将通过自然灾害工程研究基础设施（NHERI）数据库提供-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NSF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。