scholarly journals Recent Advances in the Modelling of Earthquake Hazard in Australia: Part 1 - Source, Attenuation and Site Response Models

2003 ◽  
Vol 2003 (2) ◽  
pp. 1-1 ◽  
Author(s):  
Trevor Dhu ◽  
Trevor Jones ◽  
Cvetan Sinadinovski ◽  
Andrew Jones ◽  
David Robinson ◽  
...  
Keyword(s):  
Site Response ◽  
Earthquake Hazard ◽  
Response Models ◽  
Recent Advances

Taiwan-Specific Model for VS30 Prediction Considering Between-Proxy Correlations

2018 ◽  
Vol 34 (4) ◽  
pp. 1973-1993 ◽  
Author(s):  
On Lei Annie Kwok ◽  
Jonathan P. Stewart ◽  
Dong Youp Kwak ◽  
Pang-Li Sun
Keyword(s):  
Ground Motion ◽  
Prediction Models ◽  
Site Response ◽  
Specific Model ◽  
Weighted Mean ◽  
Response Models ◽  
Database File ◽  
A Site ◽  
Gradient Effects ◽  
Model Weighting

Ergodic site response models are generally conditional on the time-averaged shear wave velocity in the upper 30 m ( V S30). Ground motion databases contain many recordings from Taiwan, and because of site characterization efforts, 56% of recording sites have V S30 derived from measurements. We develop proxy-based V S30 prediction models, one application of which is for the remaining 44% of Taiwan sites. Our approach, which can be suitable for other regions, differs from previous studies in which proxies are based on detailed geologic categories and possible within-category topographic gradient effects. Instead, we use three broad, age-based geologic categories, and for the youngest category of Holocene and Quaternary undivided sediments, we propose models conditioned on gradient and elevation. We also adapt a geomorphic terrain-based method, thus providing two V S30-prediction models. We describe a model weighting scheme that combines the models in consideration of their relative dispersions and correlation, producing a weighted mean and standard deviation natural-log V S30. Included as an electronic supplement is a profile database file and a site database with site parameters for Taiwan ground motion stations.

Site Response from Ambient Vibrations in the Towns of Lod and Ramle (Israel) and Earthquake Hazard Assessment

2005 ◽  
Vol 3 (3) ◽  
pp. 355-381 ◽  
Author(s):  
Y. Zaslavsky ◽  
A. Shapira ◽  
M. Gorstein ◽  
M. Kalmanovich ◽  
V. Giller ◽  
...  
Keyword(s):  
Hazard Assessment ◽  
Site Response ◽  
Earthquake Hazard ◽  
Ambient Vibrations ◽  
Earthquake Hazard Assessment

Nonlinear shear stress reduction factor (rd) for assessment of liquefaction potential in Christchurch Central Business District

2014 ◽  
Vol 47 (1) ◽  
pp. 1-14
Author(s):  
James N. Dismuke
Keyword(s):  
Shear Stress ◽  
Stress Reduction ◽  
Site Response ◽  
Ground Motions ◽  
Limit State ◽  
Central Business District ◽  
Reduction Factor ◽  
Response Models ◽  
Business District ◽  
Nonlinear Shear

Simplified procedures for evaluating liquefaction triggering potential use the nonlinear shear stress reduction factor, rd, to estimate the peak earthquake-induced cyclic shear stress within the soil strata. Previous studies have derived rd by considering the response of representative ground profiles subjected to input ground motions with a range of ground motion characteristics. In this study, site–specific rd for serviceability limit state (SLS) and ultimate limit state (ULS) design ground motions are developed using site response models of the Christchurch Central Business District (CBD). The site response models are generated for typical geologic conditions of Christchurch CBD with shear wave velocity, Vs, profiles developed from the results of multichannel analysis of surface waves (MASW) surveys conducted across Christchurch CBD. A total of 528 simulations were conducted using 1D nonlinear time domain site response analyses using a suite of input ground motions that are representative of controlling ground motion scenarios for seismic hazard of Christchurch. The results of the ground response analyses are used to determine Christchurch CBD-specific rd relationships for liquefaction triggering assessments. The proposed relationships provide a better estimate of the cyclic stress ratios induced below Christchurch CBD when subjected to design SLS and ULS ground motions as compared to typical practice using generic liquefaction assessment methodologies.

scholarly journals Site Effects in Structural Response Predictions of Inelastic SDOF Oscillators

2012 ◽  
Vol 28 (3) ◽  
pp. 859-883 ◽  
Author(s):  
Dominic Assimaki ◽  
Wei Li ◽  
Michalis Fragiadakis
Keyword(s):  
Ground Motion ◽  
Site Response ◽  
Structural Response ◽  
Attenuation Relations ◽  
Period Range ◽  
Response Models ◽  
Linear Elastic ◽  
Ground Motion Variability ◽  
Inelastic Displacement Ratio ◽  
Input Motion

We study how the inelastic structural response predicted via synthetic seismograms is affected by the selection of site response models in ground motion simulations. We first generate synthetics for multiple scenarios and site conditions in Southern California using attenuation relations, site specific linear, vis-coelastic and nonlinear analyses, and estimate the ground motion variability that results from the soil model selection. We next use bilinear single degree-of-freedom oscillators to demonstrate how this variability propagates to the inelastic structural response predictions. Results show high bias and scatter of the inelastic displacement ratio predicted using the empirical and linear elastic site response models relative to the nonlinear, for periods close to the fundamental period of the site. For the synthetic motions and sites used, we derive empirical correlations between the amount of bias and period range where it manifests, and selected input motion and site parameters.

Evaluating Proxy-Based Site Response in Israel

2020 ◽  
Vol 110 (6) ◽  
pp. 2953-2966
Author(s):  
Almog Baram ◽  
Gony Yagoda-Biran ◽  
Ronnie Kamai
Keyword(s):  
Site Response ◽  
Model Performance ◽  
Velocity Profiles ◽  
Large Database ◽  
Response Models ◽  
Alternative Site ◽  
Depth Effects

ABSTRACT Three alternative site-response models are developed, using two complementing predictors, accounting for both stiffness and depth effects. The analysis is based on a large database of velocity profiles and their associated calculated amplifications with respect to the local generic rock profile. The frequency of peak amplification—fpeak—is chosen to supplement VS30, after considering the predictability of eight different site proxies. The suggested models are continuous in terms of spectral periods as well as in terms of their predictor parameters—VS30 and fpeak. Model performance is evaluated in terms of the reduction in variability. For example, for a spectral period of T=0.5  s, using either one of the suggested models reduces the amplification variability from 0.4 to 0.18, whereas using VS30 alone reduces it only to 0.24. This improvement suggests that the addition of fpeak is a significant improvement in the midperiod range.

scholarly journals Design Response Spectra Based on Earthquake Hazard Maps and Specific Soil Properties at Indonesian Ports According to SNI 1726 2019

2021 ◽  
Vol 17 (1) ◽  
pp. 41-54
Author(s):  
Christino Boyke Surya Permana
Keyword(s):  
Site Response ◽  
Response Spectrum ◽  
Earthquake Hazard ◽  
Response Spectra ◽  
Site Response Analysis ◽  
Response Analysis ◽  
Spectral Acceleration ◽  
Hazard Maps ◽  
The Difference ◽  
S Period

Indonesia has a new seismic code, namely SNI 1726 2019 (SNI 2019). It is developed based on the 2017 Indonesian Earthquake Source, Hazard Maps, and ASCE 7-16. This paper is intended to explain the procedure for calculating response spectrum according to SNI 1726 2019, at ten ports located in Indonesia. The results are then verified with the software RSA2019.  Furthermore, it will be compared to SNI 1726 2012 (SNI 2012) to see the difference in spectral acceleration value (Sa). The result presents that the ports located in Sorong and Banggai have the highest Sa, whereas the port in Banjarmasin has the smallest value. Port in Surabaya and Tuban have nearly the same Sa due to their close location, while Banyuwangi has a Sa value slightly above them. The ports in Padang, Lampung, and Penajam must use a specific site response analysis to determine the design response spectra, which is not discussed in this paper. The comparison with SNI 2012 shows that the response spectra of SNI 2019 have a higher Sa than SNI 2012. However, in some areas such as Tuban and Sorong, the Sa of SNI 2012 at 0.1 to 0.6 s period are larger than SNI 2019.  

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