Statistical performance analysis of seismic‐excited structures with active interaction control

Abstract

SUMMARYThis paper presents a statistical performance analysis of a semi-active structural control system for suppressing the vibration response of building structures during strong seismic events. The proposed semi-active mass damper device consists of a high-frequency mass damper with large sti ness, and an actively controlled interaction element that connects the mass damper to the structure. Through actively modulating the operating states of the interaction elements according to pre-speciÿed control logic, vibrational energy in the structure is dissipated in the mass damper device and the vibration of the structure is thus suppressed. The control logic, categorized under active interaction control, is deÿned directly in physical space by minimizing the inter-storey drift of the structure to the maximum extent. This semi-active structural control approach has been shown to be e ective in reducing the vibration response of building structures due to speciÿc earthquake ground motions. To further evaluate the control performance, a Monte Carlo simulation of the seismic response of a three-storey steel-framed building model equipped with the proposed semi-active mass damper device is performed based on a large ensemble of artiÿcially generated earthquake ground motions. A procedure for generating codecompatible artiÿcial earthquake accelerograms is also brie y described. The results obtained clearly demonstrate the e ectiveness of the proposed semi-active mass damper device in controlling vibrations of building structures during large earthquakes.

Deep learning-based brace damage detection for concentrically braced frame structures under seismic loadings

“…To generate more damage data for fourth story bracings, artificial earthquake ground motion records were also used. A total of 750 artificial earthquake ground motion accelerograms were generated by using the method in the study by Zhang and Iwan (2003), and these artificial ground motion records were all scaled to the DBE level for the prototype CBF building. These DBE-level artificial ground motion records were further scaled using a scaling factor varying from 0.8 to 1.5.…”

Comparison of switching control algorithms effective in restricting the switching in the neighborhood of the origin

“…The engagement and disengagement of the AIC system is decided by the switching control algorithms in an attempt to control the AIC system effectively through switching between them. Wang and Iwan [9][10][11] and Zhang and Iwan [12][13][14][15][16][17] have developed the switching control algorithms for the AIC system. The AIC system is shown in figure 1 [12].…”