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Earthquake Engineering Research - HKU Libraries - The University ...

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407<br />

Response Control by Magneto-Rheological (MR) Fluid<br />

Magneto-rheological (MR) dampers have been expected to control the response of civil and building<br />

structures in recent years because of their large force capacity and variable force characteristics. In<br />

general, passive control has a limitation of damping effects within a certain range of frequency and<br />

input levels. Semi-active control reduces both response displacements and accelerations. <strong>The</strong> MR<br />

damper generates a damping force, which does not depend on the piston speed (Fujitani 2000). <strong>The</strong><br />

target of this subject is to improve the safety, functionality and habitability by controlling the response<br />

displacements and accelerations by using MR dampers. For this purpose, MR dampers and a control<br />

algorithm have been developed, and their validity is discussed by an analytical study and shaking table<br />

tests.<br />

MR damper<br />

(a) Control of base isolation system<br />

Damage Detection by Sensors<br />

(b) Two types of story drift control<br />

Figure 2: Test frame for response control by MR<br />

dampers<br />

Monitoring the structural soundness of a building effectively reduces its life cycle cost. A series of<br />

experimental tests for a monitoring system has been conducted by measuring the process in which a<br />

concrete device is broken. Devices are inserted in the central structural plane in each frame layer<br />

(Figure 3). <strong>The</strong> same device is installed in each layer, and the purpose of the test is to detect damage.<br />

<strong>The</strong> input earthquake wave is El Centro 1940 NS. <strong>The</strong> table was shaken three times with maximum<br />

velocities of lOcm/sec, 30cm/sec, and 40cm/sec. White noise excitation and micro tremor<br />

measurement were carried out before and after shaking.<br />

Two identification methods were carried out: one using the data of before and after shaking, and the<br />

other using the data during shaking. For the first, we used the flexibility method, the layers stiffness<br />

method and the identification method using multiple natural frequency changes, etc. For the second,<br />

we used the ARX model and parallel processing identification method (Morita 2001).<br />

Several types of "smart sensors" (such as line-saving systems, RDIF tags, maximum value memory<br />

sensors, smart temperature sensors, and AE sensors) are examined.<br />

Rocking Energy Dissipation System<br />

Rocking systems that cause rocking vibration under appropriate control during earthquakes are now<br />

under development (Midorikawa et. al. 2002). Some researchers have pointed out that the effects of<br />

rocking vibration can reduce seismic damage to buildings subjected to strong earthquake ground

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