Advanced Application of Big Data, Artificial Intelligence, Deep Learning, and Machine Learning in Earthquake Engineering

Dear Colleagues,

The availability of high computing capabilities, the use of artificial intelligence algorithms based on deep learning, machine learning, and the availability of increasingly large databases is opening up new possibilities in the progress of Earthquake Engineering.

Therefore, this Special Issue is intended to present new contributions and results, including experimental results, from the use of such technologies applied to Earthquake Engineering.

Relevant areas include, but are not limited to: high-resolution computational models concerning the behavior of structures or individual building elements subjected to seismic action; advanced prediction models of damage to individual structural and nonstructural elements and their interactions; artificial intelligence applications for automatic recognition of damage resulting from seismic events, both on individual structures and on a large scale, from drones, satellites or other sources; the use of sensor networks, digital survey and other data sources; the simulations of seismic wave propagation; the processing of data retrieved from social networks; and the definition of damage scenarios and the earthquake early warning system.

Dr. Antonio Mannella
Dr. Agostino Forestiero
Guest Editors

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