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

美国桥梁状况的恶化已经成为一个社会问题。衰弱的桥梁人口接近其设计寿命的尽头，加上资金短缺，导致了不可持续的局面。一个旨在解决这一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，增加用户的安全，从而降低维修成本，提高基础设施的可持续性。迄今研究的静态和动态方法尚未可靠地达到为成功的健康监测建立的所有四个水平：结构损伤的检测、定位、程度和预后。该项目致力于一种新的方法的基础研究，该方法使用与温度相关的数据来监测已建系统的健康状况。该方案具有测温简单的优点。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展部分。该项目的目标是开发、验证和传播一种新的温度驱动方法，用于评估和监测已建成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式的变化-温度影响将被用来评估结构。新的概念基于这样的假设，即温度变化可以被视为强迫函数，从而可以用来获得完整的投入产出关系(或传递函数)。研究和确定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，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势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，从而能够准确可靠地识别和/或监控。因此，温度驱动的概念具有变革的潜力，因为它将为结构健康监测带来新的知识。

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.