Spatial Correlation Study of Strong Motion Array Data with Application to Lifeline Earthquake Engineering

Loh, C.H.; Ang, A.H-S.; Wen, Y.K.

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https://hdl.handle.net/2142/14111 Copy

Description

Title

Spatial Correlation Study of Strong Motion Array Data with Application to Lifeline Earthquake Engineering

Author(s)

• Loh, C.H.
• Ang, A.H-S.
• Wen, Y.K.

Issue Date

1983-03

Keyword(s)

• Earthquake engineering
• earthquake motions

Abstract

Seismic design of structures with long dimensions located at the ground surface such as bridges, pipelines, are usually controlled by strains and differential movements caused by body and surface waves generated by earthquakes. Based on the observed strong motion array data, in particular the SMART-l array, a theoretical model is developed to estimate the ground strains and differential movements.· With the use of conversion factors by which structural strains are derived from ground strains, methods for assessing the potential damage and safety of a lifeline system under strong ground shaking during an earthquake are studied. A cross-spectrum model for surface waves is developed based on the SMART-l data. Numerical evaluation of parameters shows the attenuation is less important than the loss of coherence as waves propagate from the source to the. site. The dynamic response (deterministic as well as stochastic) of structures subject to spatial seismic waves is also studied. The contribution of both in-phase and out-of-phase input motions to the response of an extended structure (such as a lifeline) is calculated. The sensitivity of lifeline longitudinal response to change in epicenter direction was also examined. The root-mean-square response is evaluated for the purpose of reliability assessment.

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-503

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/14111

Sponsor(s)/Grant Number(s)

National Science Foundation Grants CEE 80-02584 and CEE 82-13729

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