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) …

Numerical-based seismic displacement hazard analysis for earth slopes considering spatially variable soils

MX Wang, Q Wu, DQ Li, W Du - Soil Dynamics and Earthquake …, 2023 - Elsevier
This paper presents a numerical-based seismic displacement analysis for slopes
considering the spatial variability of soils. Two generic slope models are developed based …

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 …

Improving soil liquefaction prediction through an extensive database and innovative ground motion characterization: A case study of Port Island liquefied site

P Sun, D Huang, S Du - Soil Dynamics and Earthquake Engineering, 2023 - Elsevier
Liquefaction is a phenomenon in which soils lose their strength and stiffness significantly
during earthquake shakings. It is very important to accurately predict the liquefaction …

Intra‐event spatial correlations for cumulative absolute velocity, Arias intensity, and spectral accelerations based on regional site conditions

W Du, G Wang - Bulletin of the Seismological Society of …, 2013 - pubs.geoscienceworld.org
Spatial correlations of ground‐motion intensity measures (IM s) are essential for seismic
analysis of spatially distributed systems. In this paper, geostatistical analysis is conducted to …

Energy‐compatible and spectrum‐compatible (ECSC) ground motion simulation using wavelet packets

D Huang, G Wang - Earthquake Engineering & Structural …, 2017 - Wiley Online Library
A stochastic ground‐motion simulation and modification technique is developed to generate
energy‐compatible and spectrum‐compatible (ECSC) synthetic motions through wavelet …

A CAV attenuation model for Iran: Application to liquefaction-induced lateral spreading assessment

A Lashgari, Y Jafarian - Geotechnical and Geological Engineering, 2024 - Springer
A new attenuation model is proposed to estimate the cumulative absolute velocity (CAV) of
strong ground motions based on an updated earthquake database of the earthquakes …

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 …

Prediction of ground motion intensity measures using an artificial neural network

KP Sreejaya, J Basu, STG Raghukanth… - Pure and Applied …, 2021 - Springer
The present study aims at developing a prediction model for ground motion intensity
measures using the artificial neural network (ANN) technique for active shallow crustal …