• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Infrastructures >Indirect Measurements of Bridge Vibrations as an Experimental Tool Supporting Periodic Inspections
【24h】

Indirect Measurements of Bridge Vibrations as an Experimental Tool Supporting Periodic Inspections

机译：桥梁振动的间接测量作为支持定期检查的实验工具

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Recent collapses and malfunctions of European bridges threatened the service conditions of road networks and pointed out the need for robust procedures to mitigate the impact of material degradation and overloading of existing bridges. Condition assessment of bridges remains a challenging task, which could take advantage of cost-effective and reliable inspection strategies. The advances in sensors as well as Information and Communication Technologies (ICT) ensure a significant enhancement of the capabilities in recording and processing physical and mechanical data. The present paper focuses on the paradigm of indirect vibration measurements for modal parameter identification in operational conditions. It is very attractive because of the related opportunities of application of dynamic tests as a tool for periodic inspections while significantly mitigating their impact on the traffic flow. In this framework the instrumented vehicle acts as a dynamic measurement device for periodic inspections and provides valuable information on the structural response of the bridge at a low-cost. Vehicle-bridge interaction models are here applied to realistically simulate the traffic-induced vibration response of bridges and assess the accuracy of modal parameter estimates obtained from indirect vibration measurements characterized by different noise levels.
机译：欧洲桥梁最近的崩溃和故障威胁了道路网络的服务条件，并指出需要强大的程序来减轻材料退化和过载的现有桥梁的影响。桥梁的病情评估仍然是一个具有挑战性的任务，可以利用成本效益和可靠的检查策略。传感器以及信息和通信技术（ICT）的进步确保了录制和处理物理和机械数据中的能力的显着提高。本文重点介绍了在操作条件下模态参数识别的间接振动测量范式。它是非常有吸引力的，因为动态测试的应用机会作为定期检查的工具，同时显着减轻它们对交通流量的影响。在该框架中，仪表化的车辆用作定期检查的动态测量装置，并以低成本提供有关桥梁结构响应的有价值的信息。这里的车辆桥接交互模型应用于现实地模拟桥的交通诱导的振动响应，并评估从间接振动测量所获得的模态参数估计的准确性，其特征在于不同的噪声水平。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号