• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用车辆俯仰检测冲刷对铁路桥梁进行状态监测。

Condition Monitoring of Railway Bridges Using Vehicle Pitch to Detect Scour.

作者信息

McGeown Claire, Hester David, OBrien Eugene J, Kim Chul-Woo, Fitzgerald Paul, Pakrashi Vikram

机构信息

School of Civil Engineering, University College Dublin, D04 V1W8 Dublin, Ireland.

School of Natural and Built Environment, Queen's University Belfast, Belfast BT9 5AJ, UK.

出版信息

Sensors (Basel). 2024 Mar 5;24(5):1684. doi: 10.3390/s24051684.

DOI:10.3390/s24051684
PMID:38475220
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10933975/
Abstract

This study proposes the new condition monitoring concept of using features in the measured rotation, or 'pitch' signal, of a crossing vehicle as an indicator of the presence of foundation scour in a bridge. The concept is explored through two-dimensional vehicle-bridge interaction modelling, with a reduction in stiffness under a pier used to represent the effects of scour. A train consisting of three 10-degree-of-freedom carriages cross the model on a profiled train track, each train varying slightly in terms of mass and velocity. An analysis of the pitch of the train carriages can clearly identify when scour is present. The concept is further tested in a scaled laboratory experiment consisting of a tractor-trailer crossing a four-span simply supported bridge on piers. The foundation support is represented by four springs under each pier, which can be replaced with springs of a reduced stiffness to mimic the effect of scour. The laboratory model also consistently shows a divergence in vehicle pitch between healthy and scoured bridge states.

摘要

本研究提出了一种新的状态监测概念,即利用交叉车辆测量的旋转或“俯仰”信号中的特征作为桥梁基础冲刷存在的指标。通过二维车桥相互作用建模对该概念进行了探索,桥墩下刚度的降低用于表示冲刷的影响。一列由三个具有10个自由度的车厢组成的列车在异形轨道上穿过模型,每列列车在质量和速度方面略有不同。对列车车厢俯仰的分析可以清楚地识别出何时存在冲刷。该概念在一个缩尺实验室实验中进一步得到验证,实验中一辆牵引拖车穿过一座由桥墩支撑的四跨简支桥。每个桥墩下由四个弹簧代表基础支撑,这些弹簧可以用刚度降低的弹簧代替,以模拟冲刷的影响。实验室模型也始终显示出健康桥梁状态和冲刷后桥梁状态下车辆俯仰的差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/387dc871380b/sensors-24-01684-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/a4357b1c5c2a/sensors-24-01684-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/3b8901dcd0b8/sensors-24-01684-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/5d42f2c93ea5/sensors-24-01684-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/c446edcf2716/sensors-24-01684-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/f991e9c657c0/sensors-24-01684-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/230b2fc01ad9/sensors-24-01684-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/1daf1d3ade73/sensors-24-01684-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/0564a699f9d8/sensors-24-01684-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/715ee1686e48/sensors-24-01684-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/e65911191c3b/sensors-24-01684-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/387dc871380b/sensors-24-01684-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/a4357b1c5c2a/sensors-24-01684-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/3b8901dcd0b8/sensors-24-01684-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/5d42f2c93ea5/sensors-24-01684-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/c446edcf2716/sensors-24-01684-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/f991e9c657c0/sensors-24-01684-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/230b2fc01ad9/sensors-24-01684-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/1daf1d3ade73/sensors-24-01684-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/0564a699f9d8/sensors-24-01684-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/715ee1686e48/sensors-24-01684-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/e65911191c3b/sensors-24-01684-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1739/10933975/387dc871380b/sensors-24-01684-g011.jpg

相似文献

1
Condition Monitoring of Railway Bridges Using Vehicle Pitch to Detect Scour.利用车辆俯仰检测冲刷对铁路桥梁进行状态监测。
Sensors (Basel). 2024 Mar 5;24(5):1684. doi: 10.3390/s24051684.
2
Assessment of bridge natural frequency as an indicator of scour using centrifuge modelling.使用离心机模型评估桥梁固有频率作为冲刷指标。
J Civ Struct Health Monit. 2020;10(5):861-881. doi: 10.1007/s13349-020-00420-5. Epub 2020 Jul 18.
3
Experimental and numerical investigation of the effect of different shapes of collars on the reduction of scour around a single bridge pier.不同形状的套环对单个桥墩周围冲刷减少效果的试验与数值研究
PLoS One. 2014 Jun 11;9(2):e98592. doi: 10.1371/journal.pone.0098592. eCollection 2014.
4
Scour Damage Detection and Structural Health Monitoring of a Laboratory-Scaled Bridge Using a Vibration Energy Harvesting Device.利用振动能量采集装置对实验室规模桥梁的冲刷损伤检测与结构健康监测
Sensors (Basel). 2019 Jun 6;19(11):2572. doi: 10.3390/s19112572.
5
Model experiments on hydraulic properties around multiple piers with reproduced 3D geometries.针对具有再现三维几何形状的多个桥墩周围水力特性的模型试验。
Sci Rep. 2022 Nov 19;12(1):19938. doi: 10.1038/s41598-022-24588-6.
6
The Artificial Intelligence of Things Sensing System of Real-Time Bridge Scour Monitoring for Early Warning during Floods.洪水期实时桥梁冲刷监测预警的物联人工智能传感系统。
Sensors (Basel). 2021 Jul 20;21(14):4942. doi: 10.3390/s21144942.
7
Assessment of bridge scour in the lower, middle, and upper Yangtze River estuary with riverbed sonar profiling techniques.运用河床声呐剖面技术评估长江河口下游、中游和上游的桥梁冲刷情况。
Environ Monit Assess. 2017 Dec 12;190(1):15. doi: 10.1007/s10661-017-6393-5.
8
A Probabilistic Model of the Economic Risk to Britain's Railway Network from Bridge Scour During Floods.洪水期间桥梁冲刷对英国铁路网经济风险的概率模型。
Risk Anal. 2019 Nov;39(11):2457-2478. doi: 10.1111/risa.13370. Epub 2019 Jul 18.
9
Electromagnetic Sensors for Underwater Scour Monitoring.用于水下冲刷监测的电磁传感器
Sensors (Basel). 2020 Jul 23;20(15):4096. doi: 10.3390/s20154096.
10
Identification of Vibration Frequencies of Railway Bridges from Train-Mounted Sensors Using Wavelet Transformation.基于小波变换的车载传感器识别铁路桥梁的振动频率。
Sensors (Basel). 2023 Jan 20;23(3):1191. doi: 10.3390/s23031191.

引用本文的文献

1
Advancing bridge resilience: a review of monitoring technologies for flood-prone infrastructure.提升桥梁抗灾能力:对易受洪水影响基础设施监测技术的综述
Open Res Eur. 2025 Mar 17;5:26. doi: 10.12688/openreseurope.19232.2. eCollection 2025.

本文引用的文献

1
Assessment of bridge natural frequency as an indicator of scour using centrifuge modelling.使用离心机模型评估桥梁固有频率作为冲刷指标。
J Civ Struct Health Monit. 2020;10(5):861-881. doi: 10.1007/s13349-020-00420-5. Epub 2020 Jul 18.
2
Electromagnetic Sensors for Underwater Scour Monitoring.用于水下冲刷监测的电磁传感器
Sensors (Basel). 2020 Jul 23;20(15):4096. doi: 10.3390/s20154096.
3
Vehicle-Assisted Techniques for Health Monitoring of Bridges.车辆辅助技术在桥梁健康监测中的应用。
Sensors (Basel). 2020 Jun 19;20(12):3460. doi: 10.3390/s20123460.
4
A Machine Learning Approach to Bridge-Damage Detection Using Responses Measured on a Passing Vehicle.基于车载响应的机器学习方法进行桥梁损伤检测。
Sensors (Basel). 2019 Sep 19;19(18):4035. doi: 10.3390/s19184035.
5
Scour Damage Detection and Structural Health Monitoring of a Laboratory-Scaled Bridge Using a Vibration Energy Harvesting Device.利用振动能量采集装置对实验室规模桥梁的冲刷损伤检测与结构健康监测
Sensors (Basel). 2019 Jun 6;19(11):2572. doi: 10.3390/s19112572.