TY - JOUR
T1 - Modelling, Analysis and Validation of Hydraulic Self-Adaptive Bearings for Elevated Floating Bridges
AU - Zhang, Lianpeng
AU - Liu, Yuan
AU - Yang, Tailai
AU - Wang, Ruichen
AU - Feng, Jie
AU - Crosbee, David
N1 - Funding Information:
This research was supported by the National Natural Science Foundation of China (Grant No. 52205064), the Science and Technology Project of the Hebei Education Department (Grant No. QN2023035), the Natural Science Foundation of Hebei Province (Grant No. A2023210026), and the open project of the State Key Laboratory of Rail Transit Vehicle System (Grant No. RVL2405), the Major Technology Research and Development Programme of the Hebei Provincial Science and Technology (No. 24292201Z).
Publisher Copyright:
© 2024 by the authors.
PY - 2024/12/18
Y1 - 2024/12/18
N2 - 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.
AB - 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.
KW - flexible support control
KW - hydraulic self-adaptive bearing system
KW - multi-state observer control
KW - three-variable control
KW - vibration control
UR - http://www.scopus.com/inward/record.url?scp=85213204023&partnerID=8YFLogxK
U2 - 10.3390/s24248079
DO - 10.3390/s24248079
M3 - Article
AN - SCOPUS:85213204023
VL - 24
JO - Sensors
JF - Sensors
SN - 1424-3210
IS - 24
M1 - 8079
ER -