A Comparison of Ground Motion Prediction Equations for Arias Intensity and Cumulative Absolute Velocity Developed Using a Consistent Database and Functional Form

Campbell, Kenneth W.; Bozorgnia, Yousef

doi:10.1193/1.4000067

Cited by 95 publications

(60 citation statements)

References 27 publications

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“…δB e and δW es are the between-event and within-event residuals, respectively. The between-event residuals are specific to individual events and represent the variability between earthquakes of the same magnitude; the within-event residuals represent the variability from the (2012) and by Campbell and Bozorgnia (2012b) for crustal data: (a) M 6, H 10 km, and V S30 300 m=s and (b) M 7, H 10 km, and V S30 300 m=s. The color version of this figure is available only in the electronic edition.…”

Section: Statistical Analysis Of Regression Residualsmentioning

confidence: 99%

“…The differences of the linear and nonlinear models for CAV are small. (2012) and by Campbell and Bozorgnia (2012b) for crustal events. Two cases are selected: M 6.0 and M 7.0 (H is set to 10 km and V S30 is set to 300 m=s).…”

Section: Prediction Modelsmentioning

confidence: 99%

“…Both of these measures are based on the idea that the amount of damage experienced by a structure is proportional to the energy dissipated by the structure per unit weight during the duration of the earthquake-induced ground motion. These duration-based ground-motion measures can capture the cumulative damage potential due to ground shaking and liquefaction (Kramer and Mitchell, 2006;Campbell and Bozorgnia, 2012b), particularly for structures that are susceptible to long-duration ground motion. I A and CAV have also been found to correlate with seismic intensity measures such as modified Mercalli intensity (Campbell and Bozorgnia, 2012a) and spectral accelerations (Bradley, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Ground‐Motion Prediction Models for Arias Intensity and Cumulative Absolute Velocity for Japanese Earthquakes Considering Single‐Station Sigma and Within‐Event Spatial Correlation

Foulser‐Piggott

Goda

2015

Bulletin of the Seismological Society of America

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Arias intensity (I A ) and cumulative absolute velocity (CAV) are groundmotion measures that have been found to be well suited to application in a number of problems in earthquake engineering. Both measures reflect multiple characteristics of the ground motion (e.g., amplitude and duration), despite being scalar measures. In this study, new ground-motion prediction models for the average horizontal component of I A and CAV are developed, using an extended database of strong-motion records from Japan, including the 2011 Tohoku event. The models are valid for magnitude greater than 5.0, rupture distance less than 300 km, and focal depth less than 150 km. The models are novel because they take account of ground-motion data from the 2011 Tohoku earthquake while incorporating other important features such as event type and regional anelastic attenuation. The residuals from the ground-motion modeling are analyzed in detail to gain further insights into the uncertainties related to the developed median prediction equations for I A and CAV. The site-to-site standard deviations are computed and spatial correlation analysis is carried out for I A and CAV, considering both within-event residuals and within-event single-site residuals for individual events as well as for the combined dataset.

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Section: Statistical Analysis Of Regression Residualsmentioning

confidence: 99%

Section: Prediction Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Ground‐Motion Prediction Models for Arias Intensity and Cumulative Absolute Velocity for Japanese Earthquakes Considering Single‐Station Sigma and Within‐Event Spatial Correlation

Foulser‐Piggott

Goda

2015

Bulletin of the Seismological Society of America

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“…Additionally, the technical literature includes some GMPEs for predicting AI (e.g., Campbell and Bozorgnia, 2012). Therefore, in choosing these IMs, their predictability was considered.…”

Section: Considered Intensity Measuresmentioning

confidence: 99%

Optimal vector-valued intensity measure for seismic collapse assessment of structures

Yakhchalian

Nicknam

Amiri

2015

Earthq. Eng. Eng. Vib.

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The present study is aimed to investigate the ability of different intensity measures (IMs), including response spectral acceleration at the fundamental period of the structure, S a (T 1 ), as a common scalar IM and twelve vector-valued IMs for seismic collapse assessment of structures. The vector-valued IMs consist of two components, with S a (T 1 ) as the fi rst component and different parameters that are ratios of scalar IMs, as well as the spectral shape proxies ε Sa and N p , as the second component. After investigating the properties of an optimal IM, a new vector-valued IM that includes the ratio of S a (T 1 ) to the displacement spectrum intensity (DSI) as the second component is proposed. The new IM is more effi cient than other IMs for predicting the collapse capacity of structures. It is also suffi cient with respect to magnitude, source-to-site distance, and scale factor for collapse capacity prediction of structures. To satisfy the predictability criterion, a ground motion prediction equation (GMPE) is determined for S a (T 1 )/DSI by using the existing GMPEs. Furthermore, an empirical equation is proposed for obtaining the correlation between the components of the proposed IM. The results of this study show that using the new vector-valued IM leads to a more reliable seismic collapse assessment of structures.

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“…In this study, two ground motion models for CAV are considered. A model by Campbell and Bozorgnia (2012) is applicable to crustal earthquakes because this model was developed by using strong motion data from worldwide crustal earthquakes compiled in the PEER-NGA database. For the interface and inslab earthquakes, a model by Foulser-Piggott and can be used because it was developed based on the extensive strong motion database of Japanese earthquakes, including the 2011 Tohoku data.…”

Section: Probabilistic Seismic Risk Analysismentioning

confidence: 99%

Energy-Based Seismic Risk Evaluation of Tall Reinforced Concrete Building in Vancouver, BC, Canada, under Mw9 Megathrust Subduction Earthquakes and Aftershocks

Tesfamarian

Goda

2017

Front. Built Environ.

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This article presents a seismic performance evaluation framework for reinforced concrete (RC) buildings, comprising shear walls and gravity frames. The evaluation is undertaken within a performance-based earthquake engineering framework by considering regional seismicity and site-specific ground motion selection. Different engineering demand parameters (EDPs), i.e., maximum interstory drift ratio (MaxISDR) and energy-based damage index, are considered as performance indicators. Various prediction models of EDPs are developed by considering four ground motion intensity measures (IMs), i.e., spectral acceleration at the fundamental period, Arias intensity, cumulative absolute velocity (CAV), and significant duration of ground motion. For this study, a 15-story RC building, located in Vancouver, BC, Canada, is considered as a case study. By using 50 mainshock and 50 mainshock-aftershock (MS-AS) earthquake records (2 horizontal components per record and bidirectional loading), non-linear dynamic analyses are performed. Subsequently, the calculated MaxISDRs and damage indices are correlated with suitable IMs using cloud analysis, and the most efficient IM-EDP prediction models are selected by comparing standard deviations (SDs) of the regression errors. The MaxISDR of the shear walls is less than 1% for the mainshock and MS-AS records. The energy-based damage index shows sensitivity to delineate impact of earthquake types and aftershocks. The CAV is showed to be the most efficient IM for the energy-based damage index.

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A Comparison of Ground Motion Prediction Equations for Arias Intensity and Cumulative Absolute Velocity Developed Using a Consistent Database and Functional Form

Cited by 95 publications

References 27 publications

Ground‐Motion Prediction Models for Arias Intensity and Cumulative Absolute Velocity for Japanese Earthquakes Considering Single‐Station Sigma and Within‐Event Spatial Correlation

Ground‐Motion Prediction Models for Arias Intensity and Cumulative Absolute Velocity for Japanese Earthquakes Considering Single‐Station Sigma and Within‐Event Spatial Correlation

Optimal vector-valued intensity measure for seismic collapse assessment of structures

Energy-Based Seismic Risk Evaluation of Tall Reinforced Concrete Building in Vancouver, BC, Canada, under Mw9 Megathrust Subduction Earthquakes and Aftershocks

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