Machine learning-based seismic fragility and seismic vulnerability assessment of reinforced concrete structures

• Published in: Soil dynamics and earthquake engineering (1984) Vol. 166; p. 107761
• Main Authors: Kazemi, F., Asgarkhani, N., Jankowski, R.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.03.2023
• Subjects: Machine learning method; Reinforced concrete; Seismic fragility curve prediction; Seismic limit-state capacity; Seismic risk assessment; Seismic vulnerability assessment; Seismic limit-state capacity; Seismic risk assessment; Machine learning method; Seismic fragility curve prediction; Seismic vulnerability assessment; Reinforced concrete

Many studies have been performed to put quantifying uncertainties into the seismic risk assessment of reinforced concrete (RC) buildings. This paper provides a risk-assessment support tool for purpose of retrofitting and potential design strategies of RC buildings. Machine Learning (ML) algorithms w...