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) …
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
This paper presents a numerical-based seismic displacement analysis for slopes
considering the spatial variability of soils. Two generic slope models are developed based …
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 …
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 …
(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 …
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
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 …
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
A stochastic ground‐motion simulation and modification technique is developed to generate
energy‐compatible and spectrum‐compatible (ECSC) synthetic motions through wavelet …
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 …
strong ground motions based on an updated earthquake database of the earthquakes …
Performance evaluation of machine learning techniques in predicting cumulative absolute velocity
Cumulative absolute velocity (CAV) is a powerful intensity measure for quantifying potential
earthquake damage to structures. Machine learning (ML) methods can provide more …
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 …
measures using the artificial neural network (ANN) technique for active shallow crustal …