Spokes: MEDIUM: MIDWEST: Smart Big Data Pipeline for Aging Rural Bridge Transportation Infrastructure (SMARTI)

辐条：媒介：中西部：老化农村桥梁交通基础设施的智能大数据管道 (SMARTI)

基本信息

批准号：
1762034
负责人：
Robin Gandhi
金额：
$ 100万
依托单位：
University of Nebraska at Omaha
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-01 至 2023-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1762034&HistoricalAwards=false
关键词：
Spokes MEDIUM MIDWEST Smart Big

项目摘要

America's bridges received a C+ from the American Society of Civil Engineers (ASCE) in 2017. Additionally, the US ranks only 11th world-wide in terms of infrastructure competitiveness. America's infrastructure, particularly its 50-100+ year-old bridges, is in poor health, representing a hidden crisis. Rural areas, due to their lower population density and distance from urban centers, are acutely affected by this crisis, particularly in terms of public safety and economic growth. Limited budgets for planning and maintenance only serve to exacerbate the crisis. To better inform future research, the research team held collaborative conferences and workshops, and conducted stakeholder surveys to identify issues impacting rural bridge health. Outcomes from these activities underscored the value of big data technologies to address the crisis and informed the proposed work. The mission of this multi-institution and multi-sector project is to produce a big data pipeline for rural bridge health management that improves transportation network performance and enhances safety.The research team will combine existing and new datasets to address challenges of relevance to bridge owners using scalable and replicable big data pipeline components. Activities will inform bridge owner decision-making by integrating existing datasets and data collected using next-generation health monitoring technologies (e.g., contact and non-contact sensors, unmanned aerial vehicles) with innovative data management techniques. Socio-technical impacts associated with potential decisions will also be assessed. Aging, rural bridge testbeds will be selected in consultation with public and private owners to produce data products that facilitate decision-making and ultimately, provide economical and reliable solutions that improve bridge health. Results from the research will be shared with engineers, owners, and builders at workshops hosted by the research team. Project findings will be disseminated through publications, conferences, meetings, and forums. The research team will engage with the Big Data Hubs and Spokes network to make data, methods, and results available across regions. By extension, project findings will also benefit activities used to monitor and manage other important infrastructure assets, including highways, buildings, power grids, offshore oil platforms, water networks, and other civil infrastructures.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.

美国的桥梁于2017年从美国土木工程师学会（ASCE）获得了C+。此外，在基础设施竞争力方面，美国仅排名第11位。美国的基础设施，尤其是其50 - 100年以上的桥梁，身体状况不佳，代表着隐藏的危机。由于农村地区的人口密度较低和与城市中心的距离，农村地区受到这一危机的严重影响，特别是在公共安全和经济增长方面。计划和维护的预算有限，只会加剧危机。为了更好地为未来的研究提供信息，研究小组举行了合作会议和研讨会，并进行了利益相关者调查，以确定影响农村桥梁健康的问题。这些活动的成果强调了解决危机的大数据技术的价值，并告知了拟议的工作。这个多机构和多部门项目的使命是为农村桥梁健康管理生产一条大数据管道，以改善运输网络的性能并提高安全性。研究团队将使用可扩展和可复制的大数据管道组件结合现有和新的数据集，以应对与桥梁所有者相关性的挑战。活动将通过将现有数据集和使用下一代健康监测技术（例如，联系人和非接触传感器，无人驾驶飞机）与创新数据管理技术集成到收集的现有数据集和数据来告知桥梁所有者的决策。还将评估与潜在决策相关的社会技术影响。衰老，农村桥测试台将与公共和私人所有者协商，以生产有助于决策的数据产品，并最终提供经济可靠的解决方案，以改善桥梁健康。研究的结果将与研究团队主持的研讨会上的工程师，所有者和建筑商共享。项目发现将通过出版物，会议，会议和论坛传播。研究团队将与大数据中心和发言网络互动，以制造跨地区的数据，方法和结果。通过扩展，项目调查结果还将有益于用于监视和管理其他重要基础设施资产的活动，包括高速公路，建筑物，电网，电力网，海上石油平台，水网络和其他民事基础设施。该奖项反映了NSF的法定任务，并通过该基金会的知识优点和广泛的criperia criperia criperia criperia criperia criperia criperia rection the Awsion the Awsion。

项目成果

期刊论文数量（16）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Chapter 2 - Robust Output Only Health Monitoring of Steel Railway Bridges: Analysis of Applicability of Different Sensors

第 2 章 - 钢制铁路桥梁的仅鲁棒输出健康监测：不同传感器的适用性分析

DOI：
10.4018/978-1-7998-2772-6
发表时间：
2020
期刊：
Handbook of Research on Engineering Innovations and Technology Management in Organizations
影响因子：
0
作者：
Rageh, A;Lopez, S.;Linzell, D.;Eftekhar Azam, S.
通讯作者：
Eftekhar Azam, S.

Multi-sensor data collection and fusion using autoencoders in condition evaluation of concrete bridge decks