Geo Intelligence.

RESEARCH & SOURCES

Investigation of Joint Types on the Seismic Performance Prediction of RC Beam-Column Joints Based on Machine Learning Method

Journal of Earthquake Engineering · 2026.06.21

Paper authors：Xingyu Su · Hong Yang

DOI: 10.1080/13632469.2026.2674950

This record provides source metadata. A detailed editorial analysis has not yet been published.

Read the original source ↗

Related research

Research articlePure and Applied Geophysics2026.09.21

Machine Learning–Driven Seismic Vulnerability Assessment of Prefabricated Concrete Beam–Column Joints Using High-Fidelity SimulationsOriginal title · English

Authors Jinzhou He

Details & notes Read original ↗

Research articleBulletin of Earthquake Engineering2026.04.21

Explainable machine learning for ground motion modeling: predictive dominance of energy-based measures in the Southern Turkey seismic sequenceOriginal title · English

Authors Mohammad Reza Bagerzadeh Karimi

Details & notes Read original ↗

Research articleJournal of Seismology2026.08.31

Explainable and statistically validated machine learning for earthquake alert-level classification using seismic intensity featuresOriginal title · English

Authors Yıldırım Özüpak

Details & notes Read original ↗

Research articleActa Geophysica2026.03.21

Automated channel detection in marine seismic data: from seismic attributes to attention-based deep learningOriginal title · English

Authors Keyvan Najafzadeh · Mohammad Emami Niri · Abbas Bahroudi

Details & notes Read original ↗