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Seismic Response Analysis of a Semi-active-controlled Base ...

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806040InitialARXN4SIDDirectMeasuredacceleration [cm/s 2 ]200-20-40-60-80-100132.5 133 133.5 134 134.5 135 135.5 136 136.5time [s]Fig. 11 Comparison <strong>of</strong> time histories for the main shock 7F EW directionSEMI-ACTIVE SYSTEMThe semi-<strong>active</strong> system control force is derived by the LQG theory and then divided into four dampingcoefficient gains for the Maxwell damper. Figure 12 shows time history <strong>of</strong> the damping coefficientcalculated from the record <strong>of</strong> the control signal during the April 7, 2011 aftershock. As the LQG theoryrelies on structural parameters <strong>of</strong> the building to be <strong>controlled</strong>, the results obtained through theprevious identifications are expected to improve significantly the system response. However, at thetime <strong>of</strong> this study, only performances <strong>of</strong> the control method using the structural parameters at designstage are evaluated. The simulation results are compared among three control cases: 1) the lowestdamping coefficient is given to the semi-<strong>active</strong> dampers (passive low), 2) the highest dampingcoefficient is given to them (passive high), and 3) the time history <strong>of</strong> the damping coefficient shown inFig. 12 is applied to them (semi-<strong>active</strong>).The results for the aftershock are summarized in Table 6 and Fig. 13. Globally, the semi-<strong>active</strong>control gives the best performances; however, the difference with the passive control is very small andthus it is expected that the parameters updated in this study will improve the performances <strong>of</strong> thesemi-<strong>active</strong> control system.15C semi <strong>active</strong>[tf/kine]81.7050 52 54 56 58 60 62 64 66 68 70time [s]Fig. 12 Control gain signal1034

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