中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2026, Vol. 45 ›› Issue (6): 18-26.DOI: 10.3969/j.issn.1674-0696.2026.06.03

• 智慧交通基础设施 • 上一篇    

基于纽扣传感器的橡胶支座监测温度依赖性研究

邓年春,何梦龙,刘显晖   

  1. (广西科技大学,土木建筑工程学院,广西 柳州 545006)
  • 收稿日期:2025-11-05 修回日期:2026-04-03 发布日期:2026-07-10
  • 作者简介:邓年春(1976—),男,湖南永州人,教授,主要从事智能桥梁监测与加固方面的研究。E-mail:dengnch@gxu.edu.cn 通信作者:刘显晖(1972—),男,广西资源人,教授级高工,主要从事智能桥梁设备与桥梁性能方面的研究。E-mail:837317792@qq.com
  • 基金资助:
    广西重点研发计划项目(桂科AB23075093)

Temperature Dependence Investigation on Rubber Bearing Monitoring Based on Button Sensors

DENG Nianchun, HE Menglong, LIU Xianhui   

  1. (Key Laboratory for Special Area Highway Engineering of Ministry of Education, Chang’an University, Xi’an 710064, Shaanxi, China)
  • Received:2025-11-05 Revised:2026-04-03 Published:2026-07-10

摘要: 桥梁支座在力学行为上有显著的温度依赖性,但现有结构健康监测技术忽视了温度波动对力学性能的影响。通过6组独立温度梯度(-20~30 ℃,ΔT=10 ℃)试验,精准测量板式橡胶支座基底应变, 提出纽扣传感器基于温度-变形耦合感知的橡胶支座监测方法。研究表明:10 MPa压应力工况下,温度降低使橡胶支座抗压弹性模量等力学性能发生变化,每降低10 ℃支座竖向压缩量减小5.64%,导致橡胶支座力学行为发生变化;基于支座力学行为构建温度-应变-应力实时反演模型,读取传感器数据即可推算支座荷载,且误差小于5%。该技术为较大季节性温度波动区域有支座监测需求的转体桥梁等支座监测提供了免解构、高精度的在线监测方案。

关键词: 桥梁工程;桥梁支座;温度依赖性;结构健康监测;纽扣传感器

Abstract: Bridge bearings exhibit significant temperature dependence in their mechanical behavior; however, existing structural health monitoring (SHM) technologies overlook the effects of temperature fluctuations on their mechanical performance. By conducting 6 independent temperature gradient tests (-20~30 ℃, ΔT=10 ℃), the base strain of the plate rubber bearing was accurately measured, and a monitoring method for rubber bearings based on temperature-deformation coupling perception using button sensor was proposed. The research indicates that under a compressive stress condition of 10 MPa, decreasing temperature alters the mechanical properties of rubber bearings, such as the compressive elastic modulus. The vertical compression decreases by 5.64 % per 10 ℃ temperature reduction, resulting in changes of the mechanical behavior of the rubber bearings. A real-time inverse model of temperature-strain-stress was developed based on the mechanical behavior of the bearing. By reading sensor data, the bearing load can be calculated with an error of less than 5%. The proposed technology provides a non-destructive, high-precision online monitoring solution for the monitoring of bearing, particularly suitable for swing bridges and other structures with bearing monitoring requirements in regions experiencing significant seasonal temperature fluctuations.

Key words: bridge engineering; bridge bearings; temperature dependence; structural health monitoring; button sensor

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