Keimyung University,    Graduate Research Fellow in Prof. Min Ho Chey's Lab (Smart Structure Lab) 

                                                                                June 2021—Present                                                                                                                                                            

PhD. Thesis   

Title: Enhancing Shear Strength Prediction and Design Accuracy in RC Beam-Column Joints: A Machine Learning-Driven Approach with Modifier Analysis. 

Overview: This study critically evaluates shear strength specifications in various design codes for reinforced concrete beam-column joints (BCJs), identifying significant discrepancies due to the inconsistent interpretation of critical design parameters. The research introduces two novel modifier methods to enhance prediction accuracy: the first ('r') adjusts for the joint’s width-to-depth ratio, and the second ('r-n') accounts for the joint’s area ratio. Employing machine learning and statistical modeling with comprehensive empirical data, the study aims to align code predictions more closely with experimental outcomes, improving the safety and reliability of BCJs in earthquake-resistant structures. 

Project Work 

• Work on RC Beam-Column Joints under a seismic load. 

• Seismic Performance and Assessment of RC Framed Structure with Geometric Irregularities. 

•  Seismic Damage Prediction of RC Buildings for Rapid Post-Earthquake Assessment. 

Funding: National Institute of International Education (NIIED) and National Research Foundation of Korea (NRF).

Link: http://www.dcollection.net/handler/kmu/000000122376