Modelling, Analysis and Validation of Hydraulic Self-Adaptive Bearings for Elevated Floating Bridges

Conventional floating bridge systems used during emergency repairs, such as during wartime or after natural disasters, typically rely on passive rubber bearings or semi-active control systems. These methods often limit traffic speed, stability, and safety under dynamic conditions, including varying vehicle loads and fluctuating water levels. To address these challenges, this study proposes a novel Hydraulic Self-Adaptive Bearing System (HABS). The system integrates real-time position closed-loop control and a flexible support compensation method to enhance stability and adaptability to environmental changes. A modified three-variable controller is introduced to optimise load response, while a multi-state observer control strategy effectively reduces vibrations and improves traffic smoothness. A 1:15 scale prototype was constructed, and a co-simulation model combining MATLAB/Simulink and MSC Adams was developed to simulate various operational conditions. Results from both experiments and simulations demonstrate the HABS's ability to adapt to varying loads and environmental disturbances, achieving a 72% reduction in displacement and a 54% reduction in acceleration. These improvements enhance traffic speed, stability, and safety, making the system a promising solution for emergency and floating bridges, providing superior performance under challenging and dynamic conditions.

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Publication Details

Journal
Sensors
Published
2024-12-18
DOI
https://doi.org/10.3390/s24248079
Citations
2
Primary Topic
Elevator Systems and Control
Type
article
Field-Weighted Citation Impact
0.66

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article

Modelling, Analysis and Validation of Hydraulic Self-Adaptive Bearings for Elevated Floating Bridges

David Crosbee, Jie Feng, Ruichen Wang, Lianpeng Zhang et al.
2 citations
Sensors
Elevator Systems and Control
0.66
article

Modelling, Analysis and Validation of Hydraulic Self-Adaptive Bearings for Elevated Floating Bridges

David Crosbee, Jie Feng, Ruichen Wang, Lianpeng Zhang, Ten-Fang Yang, Yuan Liu
article en
2 citations

Abstract

Conventional floating bridge systems used during emergency repairs, such as during wartime or after natural disasters, typically rely on passive rubber bearings or semi-active control systems. These methods often limit traffic speed, stability, and safety under dynamic conditions, including varying vehicle loads and fluctuating water levels. To address these challenges, this study proposes a novel Hydraulic Self-Adaptive Bearing System (HABS). The system integrates real-time position closed-loop control and a flexible support compensation method to enhance stability and adaptability to environmental changes. A modified three-variable controller is introduced to optimise load response, while a multi-state observer control strategy effectively reduces vibrations and improves traffic smoothness. A 1:15 scale prototype was constructed, and a co-simulation model combining MATLAB/Simulink and MSC Adams was developed to simulate various operational conditions. Results from both experiments and simulations demonstrate the HABS's ability to adapt to varying loads and environmental disturbances, achieving a 72% reduction in displacement and a 54% reduction in acceleration. These improvements enhance traffic speed, stability, and safety, making the system a promising solution for emergency and floating bridges, providing superior performance under challenging and dynamic conditions.

SensorsVol. 24(24)
University of Huddersfield (GB), Shijiazhuang Tiedao University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hebei Province
Climate action
Openalex Percentile: Top 28%
Elevator Systems and Control
0.66
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Modelling, Analysis and Validation of Hydraulic Self-Adaptive Bearings for Elevated Floating Bridges — David Crosbee, Jie Feng, et al. · Sensors (2024) | TGRS Research Map | TGRS