Artificial intelligence (AI)-assisted simulation-driven earthquake-resistant design framework: Taking a strong back system as an example

Artificial intelligence (AI)-assisted simulation-driven earthquake-resistant design framework: Taking a strong back system as an example

•AI-assisted simulation-driven framework for optimal earthquake-resistant design.•Traditional design parameters do not consider extensive plasticity in buildings.•Framework creates a database with a wide range of design inputs via NRHAs.•AI models trained to automatically output optimal design param...

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Veröffentlicht in:Engineering structures 2023-12, Vol.297, p.116892, Article 116892
Hauptverfasser: Wang, Chen, Zhao, Junxian, Chan, Tak-Ming
Format: Artikel
Sprache:eng
Schlagworte:
Artificial intelligence
Earthquake-resistant design
Neural network
Nonlinear response history analyses
Simulation-driven
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Zusammenfassung:•AI-assisted simulation-driven framework for optimal earthquake-resistant design.•Traditional design parameters do not consider extensive plasticity in buildings.•Framework creates a database with a wide range of design inputs via NRHAs.•AI models trained to automatically output optimal design parameters.•ANN model yields optimal distribution of lateral force with 
ISSN:0141-0296
DOI:10.1016/j.engstruct.2023.116892