Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0141-0296(01)00065-7
Title: Analysis of long-distance earthquake tremors and base shear demand for buildings in Singapore
Authors: Balendra, T. 
Lam, N.T.K.
Wilson, J.L.
Kong, K.H. 
Keywords: Base shear demand
Component attenuation model
Distant earthquakes
Response spectum
Seismological model
Singapore
Soil amplification
Issue Date: Jan-2002
Source: Balendra, T., Lam, N.T.K., Wilson, J.L., Kong, K.H. (2002-01). Analysis of long-distance earthquake tremors and base shear demand for buildings in Singapore. Engineering Structures 24 (1) : 99-108. ScholarBank@NUS Repository. https://doi.org/10.1016/S0141-0296(01)00065-7
Abstract: The seismic faults which cause long distance earthquakes for Singapore have been analysed and the maximum possible earthquake in each of these faults have been identified. A seismic hazard predictive model developed from geophysical principles, known as the component attennuation model (CAM), has been used to estimate the bedrock motion in Singapore. CAM has been validated by comparison of the estimated ground motion parameters with historical attenuation data. Earthquakes considered in the study originated from the Indonesia Arc and the Burmese Arc in the south-western part of the Eurasian plate spanning between 90°E and 105°E, and between -5°S and 25°N. An earthquake of 7.6 in Richter Magnitude, from a 400 km distance has been shown to be critical for buildings up to 25 storeys. The elastic base shear demand corresponding to this bedrock motion when accounted for amplication by soft soil is found to be below 10% of the weight of the building. © 2001 Elsevier Science Ltd. All rights reserved.
Source Title: Engineering Structures
URI: http://scholarbank.nus.edu.sg/handle/10635/65136
ISSN: 01410296
DOI: 10.1016/S0141-0296(01)00065-7
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

42
checked on Jan 17, 2018

WEB OF SCIENCETM
Citations

31
checked on Nov 22, 2017

Page view(s)

43
checked on Jan 14, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.