A High-Sensitivity 3-D Displacement Sensor for Deformation Monitoring of Rubber Bearing

Rubber bearings are critical components of base-isolated structures; therefore, it is essential to monitor their deformation states. Current rubber bearing deformation monitoring requires three displacement sensors to track triaxial displacements. This method introduces errors in suppressing off-target displacement interferences, which reduces measurement accuracy. In addition, the simultaneous requirements for a wide measurement range and high sensor sensitivity are mutually restrictive in design. To address the problem, an L-shaped lever structure cantilever-beam 3-D displacement sensor was proposed. A rotational mechanism equipped with an angular sensor is designed at the bottom of the sensor housing, allowing for the acquisition of 3-D displacement information through vector decomposition calculations based on displacement and angle data monitored by a single sensor. This approach mitigates the adverse effects of monitoring accuracy by using multiple sensors. Utilizing its amplification principle, an L-shaped lever amplifies the monitored displacement. It transfers it to the cantilever beam, thereby increasing the surface bending strain of the beam and enhancing sensitivity. The experimental results show that the proposed sensors exhibit a high sensitivity of 50.28 mV/mm in the 0–120 mm range while achieving a high accuracy of 0.49%F.S. And the 3-D spatial displacement measurement error was less than 2 mm. The dynamic displacement measurement error was less than 0.4 mm. The 3-D displacement sensor studied in this study meets the requirements for the sensitivity and accuracy of rubber bearings.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2024-08-29
DOI
https://doi.org/10.1109/jsen.2024.3448448
Citations
5
Primary Topic
Advanced Measurement and Metrology Techniques
Type
article
Field-Weighted Citation Impact
1.06

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A High-Sensitivity 3-D Displacement Sensor for Deformation Monitoring of Rubber Bearing

Yan Shi, Boli Su, Ziqi Li, Chenxu Wang et al.
5 citations
IEEE Sensors Journal
Advanced Measurement and Metrology Techniques
1.06
article

A High-Sensitivity 3-D Displacement Sensor for Deformation Monitoring of Rubber Bearing

Yan Shi, Boli Su, Ziqi Li, Chenxu Wang, Jianxian Cai
article en
5 citations

Abstract

Rubber bearings are critical components of base-isolated structures; therefore, it is essential to monitor their deformation states. Current rubber bearing deformation monitoring requires three displacement sensors to track triaxial displacements. This method introduces errors in suppressing off-target displacement interferences, which reduces measurement accuracy. In addition, the simultaneous requirements for a wide measurement range and high sensor sensitivity are mutually restrictive in design. To address the problem, an L-shaped lever structure cantilever-beam 3-D displacement sensor was proposed. A rotational mechanism equipped with an angular sensor is designed at the bottom of the sensor housing, allowing for the acquisition of 3-D displacement information through vector decomposition calculations based on displacement and angle data monitored by a single sensor. This approach mitigates the adverse effects of monitoring accuracy by using multiple sensors. Utilizing its amplification principle, an L-shaped lever amplifies the monitored displacement. It transfers it to the cantilever beam, thereby increasing the surface bending strain of the beam and enhancing sensitivity. The experimental results show that the proposed sensors exhibit a high sensitivity of 50.28 mV/mm in the 0–120 mm range while achieving a high accuracy of 0.49%F.S. And the 3-D spatial displacement measurement error was less than 2 mm. The dynamic displacement measurement error was less than 0.4 mm. The 3-D displacement sensor studied in this study meets the requirements for the sensitivity and accuracy of rubber bearings.

IEEE Sensors JournalVol. 24(19)
Institute of Disaster Prevention (CN)
Key Science and Technology Research Project in Jiangxi Province Department of Education
Affordable and clean energy
Openalex Percentile: Top 27%
Advanced Measurement and Metrology Techniques
1.06
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A High-Sensitivity 3-D Displacement Sensor for Deformation Monitoring of Rubber Bearing — Yan Shi, Boli Su, et al. · IEEE Sensors Journal (2024) | TGRS Research Map | TGRS