2005
DOI: 10.1061/(asce)0733-9399(2005)131:8(769)
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Optimal Control of Earthquake Response Using Semiactive Isolation

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Cited by 26 publications
(22 citation statements)
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“…3(a). The static test consisted in the application of three displacement cycles between -34 mm and 34 mm in steps of 8.5 mm and from the force-displacement data the following values were identified: stiffness k1=0.987 N/mm; and the offset force f0=-139.831 N. The dynamic tests in the stationary regime consisted in subjecting the device to sinusoidal displacement waves (10 cycles of 6.25, 12.5 and 25 mm amplitude with frequencies from 0.25 Hz to 2 Hz) and from the force-displacement and force-velocity data identify the Modified [1][2][3][4][5][6][7][8][9][10][11][12]; for these last parameters a set of tables relating the model parameters with the input voltage and peak velocity were implemented, and intermediate values were calculated using linear interpolation. The dynamic tests under the transient regime used a triangle displacement signal and imposed step voltage to the damper between inversions (12,5 mm of amplitude, frequencies from 0.25 Hz to 0.75 Hz, and input steps from 0 V to 5 V and 5 V to 0 V) to identify the response time of the damper.…”
Section: Sa Devicementioning
confidence: 99%
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“…3(a). The static test consisted in the application of three displacement cycles between -34 mm and 34 mm in steps of 8.5 mm and from the force-displacement data the following values were identified: stiffness k1=0.987 N/mm; and the offset force f0=-139.831 N. The dynamic tests in the stationary regime consisted in subjecting the device to sinusoidal displacement waves (10 cycles of 6.25, 12.5 and 25 mm amplitude with frequencies from 0.25 Hz to 2 Hz) and from the force-displacement and force-velocity data identify the Modified [1][2][3][4][5][6][7][8][9][10][11][12]; for these last parameters a set of tables relating the model parameters with the input voltage and peak velocity were implemented, and intermediate values were calculated using linear interpolation. The dynamic tests under the transient regime used a triangle displacement signal and imposed step voltage to the damper between inversions (12,5 mm of amplitude, frequencies from 0.25 Hz to 0.75 Hz, and input steps from 0 V to 5 V and 5 V to 0 V) to identify the response time of the damper.…”
Section: Sa Devicementioning
confidence: 99%
“…The idea consists in decoupling the main structure (superstructure) from the foundation in order to reduce the potential for structural damage and increase equipment safety by reducing the transmission of seismic forces and energy to the main structure [3]. Base-isolated structures with semi-active systems (hybrid systems) have been receiving much attention in recent years for improving the performance of structures against earthquake loads [4,5]. Magneto-rheological (MR) and fluid viscous dampers (FVD) are some of the typical semi-active devices used in these situations [6,7].…”
Section: Introductionmentioning
confidence: 99%
“…In fact, implementable optimal control algorithms are mostly based on the given assumption on the excitations. Some researchers have proposed optimal control algorithms resulting from the solution of Euler-Lagrange equations for a given excitation [26,27]. However, those control algorithms are designed for an MR damper, an ER damper, or a controllable valve damper, not for the MTMD with semi-active friction devices studied herein.…”
Section: Non-sticking Friction (Nsf) Controllermentioning
confidence: 99%
“…T 0i (14) In this study, only the case of r i = n i (thus B 0i = I n i ) is considered for simplicity. Using the sliding mode variable defined in (11) and the control law (10), the control force vector becomes…”
Section: Decentralized Robust Control Algorithmmentioning
confidence: 99%