Cumulative Absolute Velocity (CAV) and Seismic Intensity Based on the PEER-NGA Database

2012 ◽  
Vol 28 (2) ◽  
pp. 457-485 ◽  
Author(s):  
Kenneth W. Campbell ◽  
Yousef Bozorgnia

Cumulative absolute velocity (CAV) has been proposed as an instrumental index to quantify the potential earthquake damage to structures. We explore this idea further by developing a relationship between the standardized version of CAV and the Japan Meteorological Agency (JMA) and modified Mercalli (MMI) instrumental seismic intensities in order to correlate standardized CAV with the qualitative descriptions of damage in the corresponding macroseismic intensity scales. Such an analysis statistically identifies the threshold values of standardized CAV associated with the onset of damage to buildings of good design and construction inherent in these scales. Based on these results, we suggest that CAV might be used to rapidly assess the potential damage to a general class of conventional structures after an earthquake. However, other ground motion or damage-related parameters might be better suited to quantifying the potential damage to structures of a specific type and size.

Author(s):  
Zach Bullock

This study proposes empirical ground motion models for a variety of non-spectral intensity measures and significant durations in New Zealand. Equations are presented for the prediction of the median and maximum rotated components of Arias intensity, cumulative absolute velocity, cumulative absolute velocity above a 5 cm/s2 acceleration threshold, peak incremental ground velocity, and the 5% to 75% and 5% to 95% significant durations. Recent research has highlighted the usefulness of these parameters in both structural and geotechnical engineering. The New Zealand Strong Motion Database provides the database for regression and includes many earthquakes from all regions of New Zealand with the exceptions of Auckland and Northland, Otago and Southland, and Taranaki. The functional forms for the proposed models are selected using cross validation. The possible influence of effects not typically included in ground motion models for these intensity measures is considered, such as hanging wall effects and basin depth effects, as well as altered attenuation in the Taupo Volcanic Zone. The selected functional forms include magnitude and rupture depth scaling, attenuation with distance, and shallow site effects. Finally, the spatial autocorrelation of the models’ within-event residuals is considered and recommendations are made for developing correlated maps of intensity predictions stochastically.


2012 ◽  
Vol 28 (3) ◽  
pp. 931-941 ◽  
Author(s):  
Kenneth W. Campbell ◽  
Yousef Bozorgnia

Arias intensity (AI) and cumulative absolute velocity (CAV) have been proposed as instrumental intensity measures that can incorporate the cumulative effects of ground motion duration and intensity on the response of structural and geotechnical systems. In this study, we have developed a ground motion prediction equation (GMPE) for the horizontal component of AI in order to compare its predictability to a similar GMPE for CAV. Both GMPEs were developed using the same strong motion database and functional form in order to eliminate any bias these factors might cause in the comparison. This comparison shows that AI exhibits significantly greater amplitude scaling and aleatory uncertainty than CAV. The smaller standard deviation and less sensitivity to amplitude suggests that CAV is more predictable than AI and should be considered as an alternative to AI in engineering and geotechnical applications where the latter intensity measure is traditionally used.


2012 ◽  
Vol 28 (1) ◽  
pp. 37-54 ◽  
Author(s):  
Brendon A. Bradley

Empirical correlation equations are developed between cumulative absolute velocity ( CAV) and other common ground motion intensity measures, namely, peak ground acceleration ( PGA), peak ground velocity ( PGV), 5% damped pseudo spectral acceleration ( SA), acceleration spectrum intensity ( ASI), spectrum intensity ( SI), and displacement spectrum intensity ( DSI). It is found that, for a given earthquake rupture, CAV has the strongest correlation with high and moderate frequency intensity measures (IMs), that is, ASI, PGA, PGV and high-frequency SA, and to a lesser extent with low frequency IMs ( DSI and low-frequency SA). The largest positive correlations of approximately 0.7 however are not high in an absolute sense, a result of the cumulative nature of CAV. The equations allow estimation of the joint distribution of these intensity measures for a given earthquake rupture, enabling the inclusion of CAV, and its benefit as a cumulative intensity measure, in seismic hazard analysis, ground motion selection, and seismic response analysis.


2019 ◽  
Vol 35 (3) ◽  
pp. 1289-1310 ◽  
Author(s):  
Kenneth W. Campbell ◽  
Yousef Bozorgnia

We updated our Next Generation Attenuation (NGA)-West1 ground motion models (GMMs) for the horizontal components of Arias intensity (AI) and cumulative absolute velocity (CAV) using the functional form and NGA-West2 database we used to develop GMMs for peak-amplitude and peak-spectral ground motion intensity measures (GMIMs). Our results show that CAV has the best goodness-of-fit statistics of all the GMIMs we have evaluated up to this time. Its relatively small between- and within-event standard deviations confirm its superior predictability. On the other hand, AI has the highest standard deviation of any GMIM we have studied thus far, which is approximately double that of CAV. Although either CAV or AI or a combination of both have been shown to meet various performance metrics proposed in the context of performance-based earthquake engineering (PBEE), CAV's high level of predictability makes it superior to AI for use in engineering applications, such as PBEE, that involve probabilistic inference.


2001 ◽  
Vol 17 (4) ◽  
pp. 711-723 ◽  
Author(s):  
Khosrow T. Shabestari ◽  
Fumio Yamazaki

Seismic intensity provides useful information on the regional distribution of earthquake effects and has been used to assess seismic hazards and damages. The concept of intensity has been considered as a method to classify severity of the ground motion on the basis of observed effects in the stricken area. In 1996, the Japan Meteorological Agency (JMA) developed a new seismic intensity measurement scale using three-component strong ground motion records in order to provide a measure of the strength of the seismic motion, which is compatible with the existing JMA intensity scale. By applying a band-pass filter to the frequency domain and a vectoral composition of the three components in the time domain, the JMA seismic intensity scale (IJMA) can be calculated without subjective judgement. In this study, we apply the IJMA method to the acceleration records of three recent significant earthquakes in California. For a Modified Mercalli Intensity (MMI) between IV and VIII, a new relation between MMI and log a0, obtained in the process of calculating the new IJMA, is given by the equation MMI=3.93 log a0−1.17. We propose this relation as a new instrumental seismic intensity (IMM) compatible with the California region MMI.


Author(s):  
Tomiya Takatani ◽  
Hayato Nishikawa

In Japan, there is a serious and urgent issue on seismic retrofit for a lot of old Japanese-style two-story wooden houses built by a Japanese traditional framed-construction method. In order to investigate the seismic performance of an old Japanese-style two-story wooden house, 3-D non-linear collapsing process analysis of this wooden house was conducted against a strong earthquake ground motion with the Japan Meteorological Agency seismic intensity of “6 upper” level. The effect of post fixing condition under the floor of wooden house on the seismic response of an old Japanese-style two-story wooden house was numerically investigated in this paper. As a result, it was found that seismic collapsing behavior of the wooden house strongly depends on the post fixing condition under its first floor.


2020 ◽  
Vol 110 (2) ◽  
pp. 508-518
Author(s):  
Ali Farhadi ◽  
Shahram Pezeshk

ABSTRACT In this study, we use the referenced empirical method of Atkinson (2008) to develop a ground-motion model (GMM) for estimating Arias intensity (IA) and cumulative absolute velocity (CAV) for the central and eastern North America. We use Campbell and Bozorgnia (2019) as the reference model. To achieve the objectives of this study, we begin with computing the geometric mean of the IA and CAV from the two as-recorded horizontal components of the motion for the recording motions in the Next Generation Attenuation-East strong-motion database. Then, we calculate the residuals of Campbell and Bozorgnia (2019) reference GMM for both IA and CAV. Next, we use the mixed-effect regression approach introduced by Abrahamson and Youngs (1992) to define adjustment factors to the Campbell and Bozorgnia (2019) model. Finally, we evaluate the proposed referenced empirical model by performing a set of residual analyses and comparing model predictions with observed data. The proposed model shows no apparent residual trend for magnitude or distance and implicitly accounts for the site term using the site factors proposed by Campbell and Bozorgnia (2019) model. The valid distance and magnitude range of the proposed model is the same as the selected reference model. In addition, we consider our new model to be applicable for time-averaged shear-wave velocity in the upper 30 m (VS30) between 150 and 2000  m/s.


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