Bridge Structural Identification for Condition Assessment In Collaboration with Northeastern University & Tufts University

与东北大学合作进行桥梁结构识别以进行状态评估

• 批准号: 9622259
• 负责人: Arthur Helmicki
• 金额: $ 17.17万
• 依托单位: University of Cincinnati Main Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-03-01 至 2000-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9622259&HistoricalAwards=false
• 关键词: Bridge; Structural; Identification; Condition; Assessment

9622259 Aktan/Helmicki This is a joint project with Tufts University and Northeastern University focusing on exploring the role of structural identification in transforming the current semi- empirical practice to a rational knowledge-base, thereby paving the way for effective and optimum infrastructure designing operation and management. Fundamental questions pertaining to the use of structural identification for bridge structures will be answered. The research will be primarily focused on structural identification in terms data processing, quality assurance, damage evaluation, and reliability evaluation. The experimental and analytical tools that permit meaningful and practical applications of structural identification are only presently emerging. A test bridge has already been instrumented which is a 10 year old, 188ft long, three-span, two lane, integral abutment, reinforced concrete-deck-on-steel-girders overpass in the Cincinnati area to provide needed test data. Another bridge is under construction and is being instrumented with over 350 sensors. Accelerations, displacements, rotations, strains, temperatures, truckloads and environmental conditions will be monitored over the long-term by intelligent monitoring systems. In addition to active and passive sensors, photogrammetric image processing technologies will be used. The structural identification experiments will include: modal testing by impact, modal testing by multi-imput forced-excitation, geometry- monitoring, traffic-inputs and operating responses, environmental inputs and ambient responses, static proof- level multiple truck-loading, etc. A wide variety of structural identification approaches and analytical tools will be studied.

9622259 Aktan/Helmicki这是与塔夫茨大学和东北大学的联合项目，重点是探索结构识别在将当前的半经验实践转变为合理的知识基础中的作用，从而为有效和最佳的基础设施设计操作和管理铺平了道路。 将回答与使用结构识别有关的基本问题。 这项研究将主要集中在数据处理，质量保证，损害评估和可靠性评估的术语中。 目前仅出现了允许结构识别的有意义且实际应用的实验和分析工具。 已经对一座测试桥进行了仪器，该测试桥是一个10岁，长达188英尺的三跨，两条车道的，整体式基台，钢筋钢筋 - 钢钉在辛辛那提地区，以提供所需的测试数据。 另一座桥正在建造中，并用超过350个传感器进行仪器。 智能监测系统将在长期内监控加速，位移，旋转，应变，温度，卡车和环境条件。 除了主动和被动传感器外，还将使用摄影测量图像处理技术。 结构识别实验将包括：通过撞击进行模态测试，通过多输血强制兴趣进行模态测试，几何学监测，流量输入和操作响应，环境输入和环境响应，静态证明静态验证多重的卡车加载等。将研究多种结构性识别方法和分析工具。