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A Framework for Reliability Assessment of an In-service Bridge Using Structural Health Monitoring Data

机译:使用结构健康监测数据的在役桥梁可靠性评估框架

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Because of the critical role that bridges play in land transport networks and broader economy, the assessment of existing bridges is gradually becoming a global concern. Structural health monitoring (SHM) systems have been installed on many bridges to provide data for the evaluation of bridge performance and safety. The challenge for bridge engineers is now to make use of the data and convert them into usable information and knowledge. Integrating SHM data with reliability analysis procedures offers a useful and practical methodology for bridge assessment since reliability is an important performance index and reliability-based procedures have the capability of accommodating uncertainties in structural models, responses, loads and monitoring data. In this paper, an approach for integrating SHM data in a reliability assessment framework is proposed. The reliability of the bridge is quantified by incorporating SHM information in the resistance, load and structural models. Advanced modeling tools and techniques, such as finite element analysis, finite model updating and Bayesian updating, are used for the reliability computations. Data from the SHM system installed on the Newmarket Viaduct, a newly constructed, 12-span, post-tensioned box girder bridge erected by the balanced cantilever method in Auckland, New Zealand, are also presented in this paper and used to explain the proposed framework.
机译:由于桥梁在陆地运输网络和更广泛的经济中发挥着关键作用,因此对现有桥梁的评估正逐渐成为全球关注的问题。结构健康监测(SHM)系统已安装在许多桥梁上,以提供用于评估桥梁性能和安全性的数据。现在,桥梁工程师面临的挑战是利用数据并将其转换为可用的信息和知识。将SHM数据与可靠性分析程序集成在一起,为桥梁评估提供了一种有用且实用的方法,因为可靠性是重要的性能指标,而基于可靠性的程序具有适应结构模型,响应,荷载和监测数据中不确定性的能力。本文提出了一种在可靠性评估框架中集成SHM数据的方法。通过将SHM信息纳入阻力模型,荷载模型和结构模型中,可以量化桥梁的可靠性。先进的建模工具和技术(例如有限元分析,有限模型更新和贝叶斯更新)用于可靠性计算。本文还介绍了安装在纽马克特高架桥上的SHM系统的数据,纽马克高架桥是一种通过平衡悬臂法在新西兰奥克兰建立的新建成的12跨后张拉箱梁桥,用于解释拟议的框架。

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