Designing reliable and cost-effective floating bridges for wide and deep fjords is very challenging. The floating bridge is subjected to various environmental loads, such as wind, wave, and current loads. All these loads and associated load effects should be properly evaluated for ultimate limit state design check. In this study, the wind-, wave-, and current-induced load effects are comprehensively investigated for an end-anchored curved floating bridge, which was an early concept for crossing the Bjørnafjorden. The considered floating bridge is about 4600 m long and consists of a cable-stayed high bridge part and a pontoon-supported low bridge part. It also has a large number of eigen-modes, which might be excited by the environmental loads. Modeling of wind loads on the bridge girder is first studied, indicating that apart from aerodynamic drag force, aerodynamic lift and moment on the bridge girder should also be considered due to their significant contribution to axial force. Turbulent wind spectrum and spatial coherence play an important role and should also be properly determined. The sway motion, axial force, and strong axis bending moment of the bridge girder are mainly induced by wind loads, while the heave motion, weak axis bending moment, and torsional moment are mainly induced by wave loads. Turbulent wind can cause significant larger low-frequency eigen-mode resonant responses than the second-order difference frequency wave loads. Current loads mainly contribute damping and reduce the variations of sway motion, axial force, and strong axis bending moment.
Skip Nav Destination
Article navigation
February 2019
Research-Article
Numerical Modeling and Dynamic Analysis of a Floating Bridge Subjected to Wind, Wave, and Current Loads
Zhengshun Cheng,
Zhengshun Cheng
Department of Marine Technology,
Centre for Autonomous Marine Operations
and Systems (AMOS),
Norwegian University of Science
and Technology (NTNU),
Trondheim 7491, Norway
e-mail: zhengshun.cheng@gmail.com
Centre for Autonomous Marine Operations
and Systems (AMOS),
Norwegian University of Science
and Technology (NTNU),
Trondheim 7491, Norway
e-mail: zhengshun.cheng@gmail.com
Search for other works by this author on:
Zhen Gao,
Zhen Gao
Department of Marine Technology,
Centre for Autonomous Marine Operations
and Systems (AMOS),
Norwegian University of Science
and Technology (NTNU),
Trondheim 7491, Norway
e-mail: zhen.gao@ntnu.no
Centre for Autonomous Marine Operations
and Systems (AMOS),
Norwegian University of Science
and Technology (NTNU),
Trondheim 7491, Norway
e-mail: zhen.gao@ntnu.no
Search for other works by this author on:
Torgeir Moan
Torgeir Moan
Department of Marine Technology,
Centre for Autonomous Marine Operations
and Systems (AMOS),
Norwegian University of Science
and Technology,
Trondheim 7491, Norway
e-mail: torgeir.moan@ntnu.no
Centre for Autonomous Marine Operations
and Systems (AMOS),
Norwegian University of Science
and Technology,
Trondheim 7491, Norway
e-mail: torgeir.moan@ntnu.no
Search for other works by this author on:
Zhengshun Cheng
Department of Marine Technology,
Centre for Autonomous Marine Operations
and Systems (AMOS),
Norwegian University of Science
and Technology (NTNU),
Trondheim 7491, Norway
e-mail: zhengshun.cheng@gmail.com
Centre for Autonomous Marine Operations
and Systems (AMOS),
Norwegian University of Science
and Technology (NTNU),
Trondheim 7491, Norway
e-mail: zhengshun.cheng@gmail.com
Zhen Gao
Department of Marine Technology,
Centre for Autonomous Marine Operations
and Systems (AMOS),
Norwegian University of Science
and Technology (NTNU),
Trondheim 7491, Norway
e-mail: zhen.gao@ntnu.no
Centre for Autonomous Marine Operations
and Systems (AMOS),
Norwegian University of Science
and Technology (NTNU),
Trondheim 7491, Norway
e-mail: zhen.gao@ntnu.no
Torgeir Moan
Department of Marine Technology,
Centre for Autonomous Marine Operations
and Systems (AMOS),
Norwegian University of Science
and Technology,
Trondheim 7491, Norway
e-mail: torgeir.moan@ntnu.no
Centre for Autonomous Marine Operations
and Systems (AMOS),
Norwegian University of Science
and Technology,
Trondheim 7491, Norway
e-mail: torgeir.moan@ntnu.no
1Corresponding author.
Contributed by the Ocean, Offshore, and Arctic Engineering Division of ASME for publication in the JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING. Manuscript received April 3, 2018; final manuscript received June 5, 2018; published online July 24, 2018. Assoc. Editor: Francisco J. Huera-Huarte.
J. Offshore Mech. Arct. Eng. Feb 2019, 141(1): 011601 (17 pages)
Published Online: July 24, 2018
Article history
Received:
April 3, 2018
Revised:
June 5, 2018
Citation
Cheng, Z., Gao, Z., and Moan, T. (July 24, 2018). "Numerical Modeling and Dynamic Analysis of a Floating Bridge Subjected to Wind, Wave, and Current Loads." ASME. J. Offshore Mech. Arct. Eng. February 2019; 141(1): 011601. https://doi.org/10.1115/1.4040561
Download citation file:
Get Email Alerts
Time-dependent wave motion in a running stream due to initial disturbances in Magnetohydrodynamics
J. Offshore Mech. Arct. Eng
The autonomous urban passenger ferry milliAmpere2: Design and testing
J. Offshore Mech. Arct. Eng
Numerical Analysis of the Effect of Tunnel Hydrofoil—Stern Flap on the Motion Stability of a Double M-Craft in Regular Waves
J. Offshore Mech. Arct. Eng (August 2025)
On the Performance of a Data-Driven Backward Compatible Physics-Informed Neural Network for Prediction of Flow Past a Cylinder
J. Offshore Mech. Arct. Eng (August 2025)
Related Articles
Effect of Wave Age on Wind Gust Spectra Over Wind Waves
J. Offshore Mech. Arct. Eng (August,2009)
On the Growth of Wind-Generated Waves in a Swell-Dominated Region in the South Atlantic
J. Offshore Mech. Arct. Eng (February,2002)
Numerical Modeling and Dynamic Response Analysis of an End-Anchored Floating Bridge With a Damaged Pontoon Under Repair Operation
J. Offshore Mech. Arct. Eng (December,2024)
Related Proceedings Papers
Related Chapters
A Small-Scale Laboratory Dispersant Effectiveness Test
Chemical Dispersants for the Control of Oil Spills
Three Dimensional Finite Element Modeling of Integral Bridges Subjected to Thermal Loading
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17
Characterization of Ultra-High Temperature and Polymorphic Ceramics
Advanced Multifunctional Lightweight Aerostructures: Design, Development, and Implementation