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Integration of SHM into Bridge Management Systems: Case Study–Z24 Bridge

机译:SHM集成到桥梁管理系统中:案例研究– Z24桥梁

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Bridge Management System (BMS) is a decision-support tool developed to assistthe authorities in determining how and when to make decisions regardingmaintenance, repair, and rehabilitation of structures in a systematic way. However,despite the advances in BMS modeling, the condition assessment activities still relyheavily on visual inspections, which inherently produce widely variable results. Onthe other hand, the goal of Structural Health Monitoring is to improve the safety andreliability of aerospace, civil, and mechanical infrastructure by detecting damagebefore it reaches a critical state. To achieve this goal, technology is being developed toreplace qualitative visual inspection and time-based maintenance procedures withmore quantifiable and automated damage assessment processes. It is the authors'belief that for the activities related to bridge safety and maintenance should be basedon visual inspections along with results from long-term monitoring. Over the lastdecade, the authors have realized that research in both fields has been conductedseparately. Therefore, in order to develop a more reliable bridge safety andmaintenance process, this paper summarizes the foundation of an approach tointegrate both fields. The applicability of this approach is then demonstrated on datafrom the Z24 Bridge in Switzerland.
机译:桥梁管理系统(BMS)是开发的决策支持工具,可为您提供帮助 当局决定如何以及何时做出有关 以系统的方式对结构进行维护,修理和修复。然而, 尽管BMS建模取得了进步,但条件评估活动仍然依赖 大量地依靠目视检查,这固有地会产生变化很大的结果。在 另一方面,结构健康监测的目标是提高安全性和 通过检测损坏来确保航空航天,民用和机械基础设施的可靠性 在达到临界状态之前。为了实现这一目标,正在开发技术以 替换定性的外观检查和基于时间的维护程序, 更量化和自动化的损害评估流程。是作者的 认为与桥梁安全和维护有关的活动应以 目视检查以及长期监测的结果。在过去 十年来,作者意识到在这两个领域都进行了研究 分别地。因此,为了开发出更可靠的桥梁安全性和 维护过程,本文总结了一种方法的基础 整合两个领域。然后在数据上证明了这种方法的适用性 来自瑞士的Z24桥。

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