Advanced Application of Big Data, Artificial Intelligence, Deep Learning, and Machine Learning in Earthquake Engineering
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: closed (30 May 2023) | Viewed by 5203
Special Issue Editors
Interests: earthquakes engineering; building structural analysis; geophysical image processing; post-earthquake reconstruction; conservation of historical buildings; sustainable regeneration
Interests: artificial intelligence; personalized medicine; patient-centric care; healthcare IoT; biomedical data integration; precision health
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Special Issue Information
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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Keywords
- high-performance computing
- artificial intelligence
- machine learning and deep learning
- big data applications and algorithms
- modeling and simulation
- seismic response of structures
- earthquake protection system
- digital twin
- earthquake damage
- seismic wave
- post-earthquake damage assessment
- earthquake early warning
- damage scenarios
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