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基于压力传感的可调式智能轴承设计与监测应用

Design and Monitoring Application of an Adjustable Intelligent Bearing Based on Pressure Sensing.

作者信息

Li Shu, Zhang Zaiyu, Gan Luyi, Yin Jiheng, Fu Ming

机构信息

School of Safety Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China.

Hefei Institute for Public Safety Research, Tsinghua University, Hefei 230601, China.

出版信息

Sensors (Basel). 2024 Dec 6;24(23):7820. doi: 10.3390/s24237820.

DOI:10.3390/s24237820
PMID:39686357
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11644884/
Abstract

Single-pier, dual-bearing bridges are susceptible to effects such as concrete creep, thermal expansion, and uneven foundation settlement. When combined with eccentric loading from heavy vehicles, these factors collectively can significantly increase the risk of bridge overturning. To address this risk, a comprehensive analysis of the bridge overturning mechanism was conducted. Considering the current limitations of health monitoring in bearing reaction force (BRF) measurement and risk mitigation, an adjustable intelligent bearing based on pressure sensing and self-locking principles was developed. Its mechanical performance was analyzed under the most unfavorable load conditions. To further validate the approach, a specific experimental bridge was used as a case study. The effectiveness of the force measurement and height adjustment functions was evaluated through moving load experiments. The results showed that the force measurement function accurately captured dynamic BRF changes within a precision range of ±0.1% FS and demonstrated high sensitivity to instantaneous impact effects. The height adjustment function achieved a reaction force change of up to 40 kN within the maximum adjustment range of 1.2 mm, significantly improving the load distribution of the bridge. These findings validated the reliability of the proposed intelligent bearing in real-time monitoring and proactive risk adjustment. This effectively overcomes the limitations of existing bearings, which only perform passive monitoring. Overall, it achieves the real-time monitoring of BRF and proactive control of bridge overturning risks.

摘要

单墩双支座桥梁易受混凝土徐变、热膨胀和地基不均匀沉降等影响。当与重型车辆的偏心荷载相结合时,这些因素共同作用会显著增加桥梁倾覆的风险。为解决这一风险,对桥梁倾覆机制进行了全面分析。考虑到目前健康监测在支座反力测量和风险缓解方面的局限性,开发了一种基于压力传感和自锁原理的可调智能支座。分析了其在最不利荷载条件下的力学性能。为进一步验证该方法,以一座特定的试验桥为例进行研究。通过移动荷载试验评估了测力和高度调节功能的有效性。结果表明,测力功能在±0.1%FS的精度范围内准确捕捉到了动态支座反力变化,并对瞬时冲击效应表现出高灵敏度。高度调节功能在最大调节范围1.2mm内实现了高达40kN的反力变化,显著改善了桥梁的荷载分布。这些结果验证了所提出的智能支座在实时监测和主动风险调整方面的可靠性。这有效地克服了现有支座仅进行被动监测的局限性。总体而言,实现了支座反力的实时监测和桥梁倾覆风险的主动控制。

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本文引用的文献

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Bridge Health Monitoring Using Strain Data and High-Fidelity Finite Element Analysis.基于应变数据和高精度有限元分析的桥梁健康监测。
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