Artificial neural network-based ground motion model for next-generation seismic intensity measures
Author:
Funder
Ministero dell’Istruzione, dell’Università e della Ricerca
Governo Italiano Ministero dell'Istruzione dell'Universita e della Ricerca
Publisher
Elsevier BV
Reference55 articles.
1. Analyzing the sufficiency of alternative scalar and vector intensity measures of ground shaking based on information theory;Jalayer;J Eng Mech,2012
2. Implications of intensity measure selection for seismic loss assessment of 3-D buildings;Kohrangi;Earthq Spectra,2016
3. Limitations of Sa(T 1) as an intensity measure when assessing non-ductile infilled RC frame structures;O'Reilly;Bull Earthq Eng,2021
4. Seismic intensity measures for risk assessment of bridges;O'Reilly;Bull Earthq Eng,2021
5. Impact of ground-motion duration on nonlinear structural performance: Part I: spectrally equivalent records and inelastic single-degree-of-freedom systems;Otárola;Earthq Spectra,2023
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