چکیده مقاله
Despite increasing environmental pressures on coastal and port infrastructure, current project management frameworks often fall short in integrating real time intelligence, predictive analytics, and sustainability metrics across the full project lifecycle Addressing this gap, the present study introduces an integrated artificial intelligence AI and digital twin DT framework designed to optimize green project management in climate sensitive marine infrastructure The model was applied to Shahid Rajaee Port, Iran’s largest commercial seaport, leveraging a rich dataset comprising historical records 2005–2023 , IoT based structural sensors, Sentinel 2 imagery, and GIS based environmental layers A hybrid AI system combining Long Short Term Memory LSTM , Random Forest RF , Reinforcement Learning RL , and Gradient Boosting algorithms was developed for delay forecasting, risk classification, and sustainability optimization The LSTM model achieved a delay prediction accuracy of 92 3%, while RF identified cost overrun risks with 88 1% accuracy RL based dynamic scheduling improved resource utilization efficiency by 16 4% over traditional methods Simultaneously, the DT platform enabled real time visualization, emissions tracking, and climate scenario simulation Implementation results showed a 14 7% reduction in carbon emissions and a 16% improvement in environmental impact index, validated through real world project benchmarks and expert feedback SUS score: 84 1 These findings underscore the transformative potential of AI DT integration in delivering adaptive, low impact, and data driven infrastructure systems The proposed framework offers a replicable model for smart coastal development, contributing to global sustainability and resilience targets under rapidly evolving environmental and operational challenges
کلیدواژهها
نویسندگان
Rasoul Ghafari
PhD student in civil engineering majoring in engineering and construction management at the Islamic Azad University of Arak branch, Arak, Iran
Seyed Reza Samaei
Assistant professor, Faculty of Technical and Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
شیوه ارجاع
Ghafari, Rasoul and Samaei, Seyed Reza,1404,Integrated AI and Digital Twin Technologies for Green Project Management in Resilient Coastal and Port Infrastructure Systems,Third International Conference on applied researches in civil engineering, architecture and urban planning
ارائهشده در
مجموعه مقالات سومین کنفرانس بین المللی پژوهش های کاربردی در مهندسی عمران، معماری و شهرسازی30 آبان 1404