Inicio
Explorar
nav.journalClub
Tendencias
Más
synapse
⌘+K
Idioma
Español
Español
Seismic time history response prediction of modular buildings using transformer-based machine learning models | Synapse
March 3, 2026
Seismic time history response prediction of modular buildings using transformer-based machine learning models
PT
Peifeng Tian
Hong Kong Polytechnic University
CW
Chen Wang
Harbin Institute of Technology
TC
Tak-Ming Chan
Ver todo
Puntos clave
The predictive model accurately estimates seismic response, showing improvement over traditional methods.
The analysis utilizes transformer-based machine learning, enhancing predictive capabilities for structural behavior.
Data from previous seismic events informs the model, leading to more reliable predictions in dynamic conditions.
The findings highlight the importance of advanced modeling techniques in ensuring the safety of modular construction.
Mark Helpful
Me gusta
Save
Guardar
Relay
Compartir
Mark Helpful
Me gusta
Save
Guardar
Relay
Compartir
Cite This Study
Copy
Tian et al. (Sat,) studied this question.
synapsesocial.com/papers/69a75f7cc6e9836116a2ae54
https://doi.org/https://doi.org/10.1016/j.jcsr.2026.110256