Post by Shima Mahboubi

📣 New Publication Alert 📣 I am delighted to share that our paper, “An Explainable Machine Learning Framework for Component-Sensitive Prediction of Energy-Based Damage Index in RC Bridges,” has been published in the Q1 journal Measurement. This study presents an explainable machine learning framework for seismic damage assessment of RC bridges based on our energy-based damage index, providing both high predictive capability and physical interpretability for structural engineering applications. I would like to thank my outstanding student, Amirali Abdolmaleki, whose dedication, motivation, and research talent greatly contributed to this achievement. I am also deeply grateful to my valued colleague, Dr. Mahmoud R. Shiravand for his continuous support, insightful discussions, and excellent collaboration throughout this work.  🔗 Article link: https://lnkd.in/e2xvf7aH #Measurement #Q1Journal #StructuralEngineering #EarthquakeEngineering #MachineLearning #ExplainableAI #BridgeEngineering #CivilEngineering #ResearchPublication #AcademicResearch