Ground motion models for the horizontal components of Arias intensity (AI) and cumulative absolute velocity (CAV) using the NGA-West2 database

KW Campbell, Y Bozorgnia - Earthquake Spectra, 2019 - journals.sagepub.com
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) …

Cumulative absolute velocity prediction for earthquake early warning with deep learning

Y Wang, Q Zhao, K Qian, Z Wang… - Computer‐Aided Civil …, 2024 - Wiley Online Library
A rapid and accurate estimate of earthquake damage is a key component in a successful
earthquake early warning (EEW) system. The cumulative absolute velocity (CAV) is an …

Empirical ground-motion models (GMMs) and associated correlations for cumulative absolute velocity, Arias intensity, and significant durations calibrated on Iranian …

M Davatgari-Tafreshi, SS Bora - Bulletin of Earthquake Engineering, 2023 - Springer
This study presents empirical ground-motion models (GMMs) for estimating Arias intensity
(IA), cumulative absolute velocity (CAV) and significant ground-motion duration (D5–75 and …

Real-time prediction of distance and PGA from P-wave features using Gradient Boosting Regressor for on-site earthquake early warning applications

AG Iaccarino, A Cristofaro, M Picozzi… - Geophysical Journal …, 2024 - academic.oup.com
On-site earthquake early warning (EEW) systems represent an important way to reduce
seismic hazard. Since these systems are fast in providing an alert and reliable in the …

Performance evaluation of machine learning techniques in predicting cumulative absolute velocity

F Kuran, G Tanırcan, E Pashaei - Soil Dynamics and Earthquake …, 2023 - Elsevier
Cumulative absolute velocity (CAV) is a powerful intensity measure for quantifying potential
earthquake damage to structures. Machine learning (ML) methods can provide more …

New scenario‐based cumulative absolute velocity models for shallow crustal tectonic settings

J Macedo, N Abrahamson… - Bulletin of the …, 2021 - pubs.geoscienceworld.org
ABSTRACT The Pacific Earthquake Engineering Research Center Next Generation
Attenuation‐West2 database is used to derive a new conditional ground‐motion model …

Correlations between pore water pressure development in sandy soil and CAV-based ground motion intensity measures

CC Tsai, JP Wang, TY Huang, CY Sung - Engineering Geology, 2022 - Elsevier
This study investigated the respective correlation coefficients between pore water pressure
(PWP) development in sandy soil and 41 CAV-based (cumulative absolute velocity) ground …

Seismic intensity estimation using multilayer perceptron for onsite earthquake early warning

S Sarkar, A Roy, S Kumar, B Das - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Automated early preventive measures are necessary to reduce secondary hazards in case
of high-intensity earthquakes, as these have the potential to damage civil structures over a …

Copula‐based joint probability function for PGA and CAV: A case study from Taiwan

Y Xu, XS Tang, JP Wang… - … Engineering & Structural …, 2016 - Wiley Online Library
This study aims to develop a joint probability function of peak ground acceleration (PGA)
and cumulative absolute velocity (CAV) for the strong ground motion data from Taiwan. First …

Performance-based probabilistic assessment of liquefaction-induced building settlements

C Liu, J Macedo, G Candia - Soil Dynamics and Earthquake Engineering, 2021 - Elsevier
The current state of practice in the estimation of liquefaction-induced building settlements
(LIBS) relies on pseudoprobabilistic approaches in which the estimation of ground motion …