Bulletin of Earthquake Engineering - v. 22, n. 7 (Dezember 2023)

Erschienen:	Dezember 2023

Autor(en)	Titel	Seite(n)
Pantoja-Rosero, Bryan German / Achanta, Radhakrishna / Beyer, Katrin	Automated image-based generation of finite element models for masonry buildings
Giardina, Giorgia / Macchiarulo, Valentina / Foroughnia, Fatemeh / Jones, Joshua N. / Whitworth, Michael R. Z. / Voelker, Brandon / Milillo, Pietro / Penney, Camilla / Adams, Keith / Kijewski-Correa, Tracy	Combining remote sensing techniques and field surveys for post-earthquake reconnaissance missions
Monchetti, Silvia / Viscardi, Cecilia / Betti, Michele / Clementi, Francesco	Comparison between Bayesian updating and approximate Bayesian computation for model identification of masonry towers through dynamic data
Abdelmalek-Lee, Eusef / Burton, Henry	A dual Kriging-XGBoost model for reconstructing building seismic responses using strong motion data
Kalakonas, Petros / Silva, Vitor	Earthquake scenarios for building portfolios using artificial neural networks: part II—damage and loss assessment
Kalakonas, Petros / Silva, Vitor	Earthquake scenarios for building portfolios using artificial neural networks: part I—ground motion modelling
Salachoris, Georgios Panagiotis / Standoli, Gianluca / Betti, Michele / Milani, Gabriele / Clementi, Francesco	Evolutionary numerical model for cultural heritage structures via genetic algorithms: a case study in central Italy
Marano, Giuseppe Carlo / Rosso, Marco Martino / Aloisio, Angelo / Cirrincione, Giansalvo	Generative adversarial networks review in earthquake-related engineering fields
Achmet, Zeinep / Diamantopoulos, Spyridon / Fragiadakis, Michalis	Rapid seismic response prediction of rocking blocks using machine learning
Liu, Zhenliang / Guo, Anxin / Zhao, Cunbao / Sextos, Anastasios	Seismic response of bridges employing knowledge-enhanced neural networks for the lumped plasticity modelling of RC piers

Autor(en)

Titel

Seite(n)

Pantoja-Rosero, Bryan German / Achanta, Radhakrishna / Beyer, Katrin

Automated image-based generation of finite element models for masonry buildings

Giardina, Giorgia / Macchiarulo, Valentina / Foroughnia, Fatemeh / Jones, Joshua N. / Whitworth, Michael R. Z. / Voelker, Brandon / Milillo, Pietro / Penney, Camilla / Adams, Keith / Kijewski-Correa, Tracy

Combining remote sensing techniques and field surveys for post-earthquake reconnaissance missions

Monchetti, Silvia / Viscardi, Cecilia / Betti, Michele / Clementi, Francesco

Comparison between Bayesian updating and approximate Bayesian computation for model identification of masonry towers through dynamic data

Abdelmalek-Lee, Eusef / Burton, Henry

A dual Kriging-XGBoost model for reconstructing building seismic responses using strong motion data

Kalakonas, Petros / Silva, Vitor

Earthquake scenarios for building portfolios using artificial neural networks: part II—damage and loss assessment

Kalakonas, Petros / Silva, Vitor

Earthquake scenarios for building portfolios using artificial neural networks: part I—ground motion modelling

Salachoris, Georgios Panagiotis / Standoli, Gianluca / Betti, Michele / Milani, Gabriele / Clementi, Francesco

Evolutionary numerical model for cultural heritage structures via genetic algorithms: a case study in central Italy

Marano, Giuseppe Carlo / Rosso, Marco Martino / Aloisio, Angelo / Cirrincione, Giansalvo

Generative adversarial networks review in earthquake-related engineering fields

Achmet, Zeinep / Diamantopoulos, Spyridon / Fragiadakis, Michalis

Rapid seismic response prediction of rocking blocks using machine learning

Liu, Zhenliang / Guo, Anxin / Zhao, Cunbao / Sextos, Anastasios

Seismic response of bridges employing knowledge-enhanced neural networks for the lumped plasticity modelling of RC piers

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Bulletin of Earthquake Engineering - v. 22, n. 7 (Dezember 2023)

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Bulletin of Earthquake Engineering - v. 22, n. 7 (Dezember 2023)

Artikel in dieser Ausgabe

Sie haben Ihr monatliches Download-Limit überschritten! Structurae Plus-Abonnent·innen können 30 Medien bzw. Datensätze pro Monat herunterladen. Structurae Pro-Nutzer·innen sind auf 50 beschränkt.

Pflichtangaben

Sie haben Ihr monatliches Download-Limit überschritten!

Structurae Plus-Abonnent·innen können 30 Medien bzw. Datensätze pro Monat herunterladen.
Structurae Pro-Nutzer·innen sind auf 50 beschränkt.