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

美国桥梁状况的恶化已成为一个社会问题。一个衰弱的桥梁人口接近其设计寿命结束与资金短缺的汇合导致了一个不可持续的位置。结构健康监测是通过测量数据和分析模拟来识别和跟踪结构性能的一种方法。测量数据的预期用途是优化维护活动并提高用户的安全性，从而降低维修成本并提高基础设施的可持续性。静态和动态的方法研究迄今尚未可靠地实现所有四个层次建立成功的健康监测：检测，定位，程度和预后的结构性损伤。该项目追求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。该方案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结果和将概念纳入工程教育的外联部分，其目标是开发、验证和传播一种新的温度驱动方法，用于评估和监测建筑结构系统的健康状况。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例的变化-温度影响将被用于评估结构。新概念是基于这样的假设，即温度变化可以被视为一个强迫函数，从而可以用来获得一个完整的输入输出关系（或传递函数）。研究和识别这种温度驱动的传递函数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，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，从而允许准确和可靠的识别和/或监测。因此，温度驱动的概念具有变革的潜力，因为它将带来新的知识结构健康监测。

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.