Seismic Vulnerability Analysis of Mid-Story Isolation and Reduction Structures Based Stochastic Vibration

Pei Ju Chang; Jian Zhu

doi:10.4028/www.scientific.net/AMR.243-249.3988

Paper Titles

An New Approach for Estimating Critical Injection Pressure and Fault Stability during Fluid Injection into Rock Reservoir
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Lateral-Torsional Coupled Seismic Response of Asymmetric Multi-Tower Base Isolated Structures with Large Floors
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Study on Shear-Velocity Measurement by Seismic while Drilling
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Fractal Characteristic Analysis of Seismic Responses of SDOF Systems Subjected to Near-Fault Ground Motions
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Seismic Vulnerability Analysis of Mid-Story Isolation and Reduction Structures Based Stochastic Vibration
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The Design of Performance-Based Seismic Analysis of Main Power Plant of the Conventional Island
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Seismic Mechanism Analysis of Chinese Ancient Buildings
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Analysis on Seismic Behavior of Irregular High-Rise RC Structure Using Eccentrically Braces
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Effects of Tower-Line Coupling on Seismic Vibration Control of Large Crossing Transmission Tower-Line System with TMD
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 243-249Seismic Vulnerability Analysis of Mid-Story...

Seismic Vulnerability Analysis of Mid-Story Isolation and Reduction Structures Based Stochastic Vibration

Abstract:

This study focus on derivation of such fragility curves using classic mid-story isolation and reduction structures (MIRS) in China metropolis. A set of stochastic earthquake waves compatible with the response spectrum of China seismic code selected to represent the variability in ground motion. Dynamic inelastic time history analysis was used to analyze the random sample of structures. The result reveal that good effect for superstructure and reduction effect for substructure of MIRS is favorable and obvious under major earthquake, Weak position of MIRS was be pointed out and fragility curves of typical MIRS of China was obtained finally.

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Periodical:

Advanced Materials Research (Volumes 243-249)

Pages:

3988-3991

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.243-249.3988

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Online since:

May 2011

Authors:

Pei Ju Chang, Jian Zhu

Keywords:

Data Mining (DM), Data Statistics, MIRS, Seismic Fragility, Stochastic Vibration

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