A Study of Seismic Ground Motion for Lifeline Response Analysis

Zerva, A.; Ang, A.H-S.; Wen, Y.K.

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https://hdl.handle.net/2142/14129 Copy

Description

Title

A Study of Seismic Ground Motion for Lifeline Response Analysis

Author(s)

• Zerva, A.
• Ang, A.H-S.
• Wen, Y.K.

Issue Date

1985-10

Keyword(s)

earthquake motions

Abstract

An analytical model for determining the differential ground motion during an earthquake is developed. The ground motion is assumed to be a stationary random process, resulting from waves radiated from an underground source (fracture surface). The source motion is also modeled as a random process specified by a power spectral density. The spectral density of the ground motion is related to that of the source by a frequency transfer function. An analytical method for two-dimensional wave propagation is used to evaluate the displacements at the ground surface, from which the frequency transfer function is obtained through system identification. Power spectral densities of acceleration, crosscorrelation and spatial variation coefficients, as well as power spectral densities of differential acceleration obtained through the model are compared with data from an actual earthquake, the earthquake of January 29, 1981, recorded at Lotung, Taiwan. The comparison indicates that the results of the model are in good agreement with the earthquake data. Dynamic analyses of lifelines are also performed. The seismic input to the structures is considered to be either fully or partially correlated, and the results of the analytical stochastic ground motion model are used. The effect of the spatial variation of ground motions on the damage and reliability of horizontal systems is evaluated.

Publisher

University of Illinois Engineering Experiment Station. College of Engineering. University of Illinois at Urbana-Champaign.

Series/Report Name or Number

Civil Engineering Studies SRS-521

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/14129

Sponsor(s)/Grant Number(s)

National Science Foundation Grants INT 82-19528 and CEE 82-13729

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