Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls

Author:

Kazemi Farzin,Asgarkhani Neda,Jankowski Robert

Publisher

Elsevier BV

Reference47 articles.

1. Seismic fragility assessment of superelastic shape memory alloy reinforced concrete shear walls;Abraik;Journal of Building Engineering,2018

2. Applied Technology Council, & United States. Federal Emergency Management Agency (FEMA P695). (2009). Quantification of building seismic performance factors. US Department of Homeland Security, FEMA.

3. ASCE/SEI 7-22. (2023). Minimum design loads for buildings and other structures. Reston, VA: American Society of Civil Engineers.

4. Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods;Asgarkhani;Engineering Applications of Artificial Intelligence,2024

5. Machine learning-based prediction of residual drift and seismic risk assessment of steel moment-resisting frames considering soil-structure interaction;Asgarkhani;Computers & Structures,2023

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