Results 1 to 10 of about 26,422 (301)
Modeling peak ground acceleration for earthquake hazard safety evaluation [PDF]
This paper presents a ground motion prediction (GMP) model using an artificial neural network (ANN) for shallow earthquakes, aimed at improving earthquake hazard safety evaluation.
Fatima Khalid, Milad Razbin
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Italian seismic amplification factors for peak ground acceleration and peak ground velocity
Ground motion modification over large areas is generally evaluated by focusing on source effects disregarding local lithostratigraphic site conditions. Hence, amplification maps of peak ground acceleration and peak ground velocity are proposed to improve
Amerigo Mendicelli +8 more
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Explainable Machine-Learning Predictions for Peak Ground Acceleration
Peak ground acceleration (PGA) prediction is of great significance in the seismic design of engineering structures. Machine learning is a new method to predict PGA and does have some advantages.
Rui Sun +3 more
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Analysis of a peak ground acceleration value and earthquake intensity in Banten Province has been carried out using historical earthquake data from 2008 to 2018. This research aims to describe a prone area of the earthquake. The specification of data was
Elsi Ariani
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Distribution of peak ground acceleration in Pandeglang Regency, Banten
Abstract Pandeglang Regency is an area prone to earthquakes because in the subduction zone of the Indo-Australian plate and the Eurasian plate in the Sunda Strait. This study analyses the average and maximum values of the Peak Ground Acceleration (PGA) got from earthquakes in the period 2000 to 2020 around Pandeglang Regency with the ...
Della Ayu Lestari +4 more
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Peak Ground Acceleration Models Predictions Utilizing Two Metaheuristic Optimization Techniques [PDF]
Abstract Peak ground acceleration (PGA) is frequently used to describe ground motions accurately to defined the zone is critical for structural engineering design. This study developed a novel models for predicting the PGA using Artificial Neural Networks-Gravitational Search Algorithm (ANN-GSA) and Response Surface Methodology (RSM). This paper grants
Mahir M. Hason +5 more
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Mapping of Two Models Peak Ground Acceleration (PGA) of Indonesia
AbstractThis research was conducted to determine and mapping the value of the PGA in Indonesian territory using two empirical models of attenuation equations from the transition of the second generation to the third generation. The research was conducted by applying the Frisenda’s and Luzi’s.
Tati Zera +3 more
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Predicting peak ground acceleration using the ConvMixer networkKey points
The level of ground shaking, as determined by the peak ground acceleration (PGA), can be used to analyze seismic hazard at a certain location and is crucial for constructing earthquake-resistant structures.
Mona Mohammed +3 more
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Peak Ground Acceleration Prediction by Artificial Neural Networks for Northwestern Turkey [PDF]
Three different artificial neural network (ANN) methods, namely, feed‐forward back‐propagation (FFBP), radial basis function (RBF), and generalized regression neural networks (GRNNs) were applied to predict peak ground acceleration (PGA). Ninety five three‐component records from 15 ground motions that occurred in Northwestern Turkey between 1999 and ...
Kemal Günaydın, Ayten Günaydın
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Prediction Model for Peak Ground Acceleration Using Deep Learning [PDF]
MONA MOHMOUD +3 more
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