Collaborative Research: Structural Identification & Health Monitoring using Temperature-Driven Data

合作研究：结构识别

• 批准号: 1434455
• 负责人: Branko Glisic
• 金额: $ 12万
• 依托单位: Princeton University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1434455&HistoricalAwards=false
• 关键词: Collaborative; Research; Structural; Identification; &amp

The deteriorating state of bridges in the United States has become a societal issue.. The confluence of a debilitated bridge population nearing the end of its design life with a shortfall of funding has led to an unsustainable position. A paradigm aimed to address this issue is termed structural health monitoring, which is the practice of identifying and tracking performance of a structure by measured data and analytical simulation. The intended use of measured data is to optimize maintenance activities and increase safety of the users, thus reducing the costs of repairs and improving sustainability of the infrastructure. The static and dynamic approaches researched thus far have yet to reliably achieve all four levels established for successful health monitoring: detection, localization, extent and prognosis of structural impairment. This project pursues fundamental research for a novel approach that uses temperature related data for monitoring health of constructed systems. The project has advantage in its simplicity of measuring temperature. The method will target all four levels of monitoring aiming to impact bridges as well as potentially other structures. The project includes an outreach component for dissemination of findings to the engineering community and incorporating concepts into engineering education.The goal of this project is to pursue development, validation and dissemination of a novel temperature-driven approach for evaluation and monitoring of health of constructed structural systems. In current techniques temperature effects are considered undesirable; the proposed method represents a change in paradigm - the temperature influences will be used to assess the structure. The new concept is based on the hypothesis that temperature variations can be treated as a forcing function and thus be used to obtain a complete input-output relationship (or transfer function). Research and identification of this temperature-driven transfer function is the main scientific contribution targeted for the study. To accomplish this objective a research plan is devised which includes framework development, laboratory/field experimentation and validation. The key advantages of the temperature-driven concept are applicability to non-linear systems, high signal-to-noise ratio, and reduced data management and time synchronization needs. In addition, the performance of many critical structural components is highly sensitive to temperature variations allowing for accurate and reliable identification and/or monitoring. Consequently, the temperature-driven concept has transformational potential since it will bring new knowledge in structural health monitoring.

美国桥梁状况的恶化已成为一个社会问题。设计寿命即将结束的桥梁数量日益衰弱，再加上资金短缺，导致了桥梁的不可持续状况。旨在解决这个问题的范例被称为结构健康监测，它是通过测量数据和分析模拟来识别和跟踪结构性能的实践。测量数据的预期用途是优化维护活动并提高用户的安全，从而降低维修成本并提高基础设施的可持续性。迄今为止研究的静态和动态方法尚未可靠地实现成功健康监测所建立的所有四个级别：结构损伤的检测、定位、程度和预后。该项目致力于一种新方法的基础研究，该方法使用温度相关数据来监测构建系统的健康状况。该项目的优点是测量温度简单。该方法将针对所有四个级别的监测，旨在影响桥梁以及潜在的其他结构。 该项目包括向工程界传播研究成果并将概念纳入工程教育的外展部分。该项目的目标是开发、验证和传播一种新型温度驱动方法，用于评估和监测建筑结构的健康状况系统。在目前的技术中，温度效应被认为是不受欢迎的。所提出的方法代表了范式的变化——温度影响将用于评估结构。新概念基于这样的假设：温度变化可以被视为强迫函数，从而可用于获得完整的输入输出关系（或传递函数）。对这种温度驱动传递函数的研究和识别是本研究的主要科学贡献。为了实现这一目标，制定了一项研究计划，其中包括框架开发、实验室/现场实验和验证。温度驱动概念的主要优点是适用于非线性系统、高信噪比以及减少数据管理和时间同步需求。此外，许多关键结构部件的性能对温度变化高度敏感，从而可以进行准确可靠的识别和/或监控。因此，温度驱动的概念具有变革潜力，因为它将带来结构健康监测的新知识。