SEISMIC VIBRATION CONTROL OF COLLEGE BRIDGE USING GENETIC ALGORITHM AND MULTIPLE TUNED MASS DAMPERS

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BATHAEI A.; RAMEZANI M.; GHORBANI TANHA S.A.K.

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Journal: Modares Civil Engineering journal Year:2016 | Volume:16 | Issue:5 (SUPPLEMENT) Page(s): 21-32

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Title

SEISMIC VIBRATION CONTROL OF COLLEGE BRIDGE USING GENETIC ALGORITHM AND MULTIPLE TUNED MASS DAMPERS

Author(s)

BATHAEI A. | RAMEZANI M. | GHORBANI TANHA S.A.K. | Issue Writer Certificate

Keywords

COLLEGE BRIDGEQ2

MULTIPLE TUNED MASS DAMPERSQ2

GENETIC ALGORITHMQ2

INCREMENTAL DYNAMIC ANALYSISQ2

Abstract

One of the challenging tasks for civil engineers is to mitigate the vibrationof structures due to dynamic loads in order to prevent possible damages and human and economic losses. By reducing the external disturbance on a system, response of the system can be reduced. However, this may not be possible in all cases. On the other side, modification of a system to prevent occurrence of resonance may require significant redesigning. Furthermore, this would be difficult to be applied on existing structures. Therefore, using vibration control devices was introduced as a reliable and simple method. These devices are simply attached to existing systems to reduce the vibration of the structure without altering the original system drastically. Passive tuned mass damper (TMD) -introduced more than a century ago- is undoubtedly a simple, inexpensive and reliable mean to suppress unfavorable vibrations of structures. However, very narrow band of suppression frequency, ineffective reduction of non-stationary vibration, and sensitivity problem due to detuning are inherent limitations of the passive TMDs. These dampers are usually tuned to the first natural frequency of the structures. TMD parameters are constant during the life cycle of the structure, therefore it is important to adjust them properly to achieve a favorable performance. Optimal values for TMD parameters in structures with non-linear behavior are determined by non-linear dynamic analysis. There are many analytical and empirical relations to identify these parameters throughsimplified modeling. In this paper, GENETIC ALGORITHM (GA) is employed to find optimum TMD parameters for vibration control of the COLLEGE BRIDGE in Tehran. With the length of 372 m, this steel bridge has 14 spans. The bridge is modeled in OpenSees environment. Verification of the finite element model is performed by comparing the results of the dynamic analysis under four earthquake records by those of alternative model created in SAP2000. In order to mitigate vibration of this bridge, 11 TMDs are considered to be installed on the bridge. The aim of the GA approach is to minimize the displacement of tallest pier of the bridge in order to decrease the maximum displacement of the structure subjected to earthquake excitations. Based on the analyses conducted for near-field and far-field earthquakes, it was concluded that employing GA will considerably reducesthe convergence rate of achieving optimum TMD parameters. To evaluate the performance of the control system during severe earthquakes, INCREMENTAL DYNAMIC ANALYSIS (IDA) is conducted for the maximum Peak Ground Acceleration (PGA) of 0.1g to 1.0g. The longitudinal root mean square and maximum displacement of the tallest pier in uncontrolled and controlled cases are obtained and compared. The results show that for low PGA values, TMDs absorb and dissipate a large portion of the input energy, and the piers remain elastic in this case. However, for higher values of PGA, piers also dissipate a portion of input energy by entering nonlinear region. The percentage of response reduction for different earthquakes are not the same because each earthquake has its own frequency content. Numerical analyses for the mass ratio of 4% for TMDs show that the reduction percentage of longitudinal and RMS displacement of the largest pier with tuned mass damper are 24.9 and 34.3, 43.5 and 38.7, 30.6 and 40.4, and 13.6 and 28.1 for El-Centro, Kern-County, Kobe and Northridge earthquakes, respectively.

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APA: Copy

BATHAEI, A., RAMEZANI, M., & GHORBANI TANHA, S.A.K.. (2016). SEISMIC VIBRATION CONTROL OF COLLEGE BRIDGE USING GENETIC ALGORITHM AND MULTIPLE TUNED MASS DAMPERS. MODARES CIVIL ENGINEERING JOURNAL, 16(5 (SUPPLEMENT)), 21-32. SID. https://sid.ir/paper/256704/en

Vancouver: Copy

BATHAEI A., RAMEZANI M., GHORBANI TANHA S.A.K.. SEISMIC VIBRATION CONTROL OF COLLEGE BRIDGE USING GENETIC ALGORITHM AND MULTIPLE TUNED MASS DAMPERS. MODARES CIVIL ENGINEERING JOURNAL[Internet]. 2016;16(5 (SUPPLEMENT)):21-32. Available from: https://sid.ir/paper/256704/en

IEEE: Copy

A. BATHAEI, M. RAMEZANI, and S.A.K. GHORBANI TANHA, “SEISMIC VIBRATION CONTROL OF COLLEGE BRIDGE USING GENETIC ALGORITHM AND MULTIPLE TUNED MASS DAMPERS,” MODARES CIVIL ENGINEERING JOURNAL, vol. 16, no. 5 (SUPPLEMENT), pp. 21–32, 2016, [Online]. Available: https://sid.ir/paper/256704/en

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