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Optimum geometry of tuned liquid column-gas damper for control of offshore jacket platform vibrations under seismic excitation

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Earthquake Engineering and Engineering Vibration 2012年第4期11卷 579-592页

作者： Seyed Amin Mousavi Seyed Mehdi Zahrai Khosrow Bargi R & D Department Sabok Sazane Sarie Engineering Company Center of Excellence for Engineering and Management of Civil Infrastructures School of Civil Engineering Pardis College of EngineeringThe University of TehranIran

In this study, the effectiveness of a tuned liquid column-gas damper, TLCGD, on *** of seismic-induced vibrations of steel jacket platforms is evaluated. TLCGD is an interesting choice in the case of jacket platforms because it is possible to use the structural elements as the horizontal column of the TLCGD. The objective here is to find the optimum geometric parameters, namely orientation and configuration of vertical columns, length ratio, and area ratio of the TLCGD, considering nonlinear damping of the TLCGD and water-structure interaction between the jacket platform and sea water. The effects of different characteristics of ground motion such as PGA and frequency content on the optimum geometry are also investigated and it is observed that these features have some influence on the optimum area ratio. Finally it is observed that pulse arrangement of ground acceleration is one of the most important parameters affecting the efficiency of a TLCGD. In other words, it is found that the TLCGD＇s capability to reduce the RMS responses depends only on the frequency content of the ground acceleration, but its capability to reduce the maximum responses depends on both the frequency content and the pulse arrangement of the ground acceleration.

关键词： passive control tuned liquid column damper TLCGD offshore platform optimum geometry

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Wind-induced vibration control of bridges using liquid column damper

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Earthquake Engineering and Engineering Vibration 2002年第2期1卷 271-280页

作者：薛素铎高赞明徐幼麟 College of Architecture and Civil Engineering Beijing University of TechnologyBeijing 100022China Department of Civil and Structural Engineering The Hong Kong Polytechnic UniversityKowloonHong Kong

The potential application of tuned liquid column damper (TLCD) for suppressing wind-induced vibration of long span bridges is explored in this *** installing the TLCD in the bridge deck,a mathematical model for the bridge-TLCD system is *** governing equations of the system are developed by considering all three displacement components of the deck in vertical,lateral,and torsional vibrations,in which the interactions between the bridge deck,the TLCD,the aeroelastic forces,and the aerodynamic forces are fully *** buffeting and flutter analyses are carried *** buffeting analysis is performed through random vibration approach,and a critical flutter condition is identified from flutter analysis.A numerical example is presented to demonstrate the control effectiveness of the damper and it is shown that the TLCD can be an effective device for suppressing wind-induced vibration of long span bridges,either for reducing the buffeting response or increasing the critical flutter wind velocity of the bridge.

关键词： long span bridge bridge deck wind-induced vibration vibration control flutter buffeting tuned liquid column damper TLCD-bridge interaction mathematical model

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维普期刊数据库

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Semi-Active TLCD Control of Fixed Offshore Platforms Using Artifical Neural Networks

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海洋工程：英文版 2003年第2期17卷 277-282页

作者：李宏男霍林生 State Key Laboratory of Coastal and Offshore Engineering Dalian University of Technology

In this paper, the control method for fixed offshore platforms using semi-active tuned liquid column damper (TLCD) is presented. The equation of motion for the platform-TLCD control system is given and the semi-active control strategy is established. A back propagation artificial neural network (ANN) is used to adjust the orifice opening of TLCD because of the nonlinear motion of liquid in TLCD. The effectiveness of the control method is verified by numerical examples.

关键词： fixed offshore platform tuned liquid column damper semi-active control neural network

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