DocumentCode :
2523665
Title :
Vibration analysis and control of a bridge under a heavy truck load
Author :
Haji-Hosseinloo, Ashkan ; Bakhtiari-Nejad, Firooz
Author_Institution :
Sch. of Mech. & Aerosp. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear :
2010
fDate :
10-12 Sept. 2010
Firstpage :
195
Lastpage :
200
Abstract :
In this paper, vibration response of a bridge under vehicular load is analyzed and subsequently controlled by two actuators using active optimal control strategy. The bridge and the vehicle are modeled as an Euler Bernoulli beam and a four DOF vehicle respectively. To this end, equations of the coupled system of the bridge and the vehicle are derived using Hamilton´s principle, and then transferred to the state space, discretized and finally controlled by the optimal control algorithm designed. Deflection of the mid span is considered as the output of the system and tried to be controlled by two symmetric forces whose optimal positions are determined by minimization of the square root of sum of squares of deflection of different points of the bridge. In addition parametric study has been done to investigate the sensitivity of the system response with respect to different parameters of the system and the controller. And finally the effect of the surface roughness and waviness on the system response and the controller has been studied. It is shown that the optimal positions of the forces are not essentially the mid span of the bridge and by this active control method, the bridge vibration can be well suppressed.
Keywords :
bridges (structures); optimal control; vehicles; vibration control; Euler Bernoulli beam; Hamilton principle; actuators; bridge; heavy truck load; optimal control; vehicular load; vibration analysis; vibration control; Analytical models; Power capacitors; Vehicles; Euler Bernoulli beam; Hamilton´s principle; optimal control; vibration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanical and Electrical Technology (ICMET), 2010 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-8100-2
Electronic_ISBN :
978-1-4244-8102-6
Type :
conf
DOI :
10.1109/ICMET.2010.5598347
Filename :
5598347
Link To Document :
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