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Broadband Ground Motions from 3D Physics‐Based Numerical Simulations Using Artificial Neural Networks

2018; Seismological Society of America; Volume: 108; Issue: 3A Linguagem: Inglês

10.1785/0120170293

1943-3573

Roberto Paolucci, Filippo Gatti, Maria Infantino, Chiara Smerzini, Ali Güney Özcebe, Marco Stupazzini,

Seismic Waves and Analysis

Research Article| May 01, 2018 Broadband Ground Motions from 3D Physics‐Based Numerical Simulations Using Artificial Neural Networks Roberto Paolucci; Roberto Paolucci aDepartment of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milan, Italy, roberto.paolucci@polimi.it, maria.infantino@polimi.it, chiara.smerzini@polimi.it, aliguney.ozcebe@polimi.it Search for other works by this author on: GSW Google Scholar Filippo Gatti; Filippo Gatti bLaboratoire de Mécanique des Sols, Structures et Matériaux, CentraleSupélec, Université Paris‐Saclay, 3, rue Joliot Curie, 91190 Gif‐Sur‐Yvette, France, filippo.gatti@centralesupelec.fr Search for other works by this author on: GSW Google Scholar Maria Infantino; Maria Infantino aDepartment of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milan, Italy, roberto.paolucci@polimi.it, maria.infantino@polimi.it, chiara.smerzini@polimi.it, aliguney.ozcebe@polimi.it Search for other works by this author on: GSW Google Scholar Chiara Smerzini; Chiara Smerzini aDepartment of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milan, Italy, roberto.paolucci@polimi.it, maria.infantino@polimi.it, chiara.smerzini@polimi.it, aliguney.ozcebe@polimi.it Search for other works by this author on: GSW Google Scholar Ali Güney Özcebe; Ali Güney Özcebe aDepartment of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milan, Italy, roberto.paolucci@polimi.it, maria.infantino@polimi.it, chiara.smerzini@polimi.it, aliguney.ozcebe@polimi.it Search for other works by this author on: GSW Google Scholar Marco Stupazzini Marco Stupazzini cMunich Re, Königinstraße 107, 80802 Munich, Germany, mstupazzini@munichre.com Search for other works by this author on: GSW Google Scholar Author and Article Information Roberto Paolucci aDepartment of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milan, Italy, roberto.paolucci@polimi.it, maria.infantino@polimi.it, chiara.smerzini@polimi.it, aliguney.ozcebe@polimi.it Filippo Gatti bLaboratoire de Mécanique des Sols, Structures et Matériaux, CentraleSupélec, Université Paris‐Saclay, 3, rue Joliot Curie, 91190 Gif‐Sur‐Yvette, France, filippo.gatti@centralesupelec.fr Maria Infantino aDepartment of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milan, Italy, roberto.paolucci@polimi.it, maria.infantino@polimi.it, chiara.smerzini@polimi.it, aliguney.ozcebe@polimi.it Chiara Smerzini aDepartment of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milan, Italy, roberto.paolucci@polimi.it, maria.infantino@polimi.it, chiara.smerzini@polimi.it, aliguney.ozcebe@polimi.it Ali Güney Özcebe aDepartment of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milan, Italy, roberto.paolucci@polimi.it, maria.infantino@polimi.it, chiara.smerzini@polimi.it, aliguney.ozcebe@polimi.it Marco Stupazzini cMunich Re, Königinstraße 107, 80802 Munich, Germany, mstupazzini@munichre.com Publisher: Seismological Society of America First Online: 01 May 2018 Online Issn: 1943-3573 Print Issn: 0037-1106 © Seismological Society of America Bulletin of the Seismological Society of America (2018) 108 (3A): 1272–1286. https://doi.org/10.1785/0120170293 Article history First Online: 01 May 2018 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Roberto Paolucci, Filippo Gatti, Maria Infantino, Chiara Smerzini, Ali Güney Özcebe, Marco Stupazzini; Broadband Ground Motions from 3D Physics‐Based Numerical Simulations Using Artificial Neural Networks. Bulletin of the Seismological Society of America 2018;; 108 (3A): 1272–1286. doi: https://doi.org/10.1785/0120170293 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyBulletin of the Seismological Society of America Search Advanced Search Abstract In this article, a novel strategy to generate broadband earthquake ground motions from the results of 3D physics‐based numerical simulations (PBSs) is presented. Physics‐based simulated ground motions embody a rigorous seismic‐wave propagation model (i.e., including source, path, and site effects), which is however reliable only in the long‐period range (typically above 0.75–1 s), owing to the limitations posed both by computational constraints and by insufficient knowledge of the medium at short wavelengths. To cope with these limitations, the proposed approach makes use of Artificial Neural Networks (ANNs), trained on a set of strong‐motion records, to predict the response spectral ordinates at short periods. The essence of the procedure is, first, to use the trained ANN to estimate the short‐period response spectral ordinates using as input the long‐period ones obtained by the PBS, and, then, to enrich the PBS time histories at short periods by scaling iteratively their Fourier spectrum, with no phase change, until their response spectrum matches the ANN target spectrum. After several validation checks of the accuracy of the ANN predictions, the case study of the 29 May 2012 Mw 6.0 Po Plain earthquake is illustrated as a comprehensive example of application of the proposed procedure. The capability of the proposed approach to reproduce in a realistic way the engineering features of earthquake ground motion, including the peak values and their spatial correlation structure, is successfully proven. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.