Title:
Smart Composite Reinforced Concrete System with Digital Twin-Based Monitoring and AI-Driven Condition Assessment
Author(s):
Chengcheng Tao
Publication:
Web Session
Volume:
ws_S6_ChengchengTao.pdf
Issue:
Appears on pages(s):
Keywords:
DOI:
Date:
3/29/2026
Abstract:
This study aims to develop a smart composite reinforced concrete system for real-time health condition monitoring using embedded sensors on the composite. The monitoring system can provide the health condition and risk information of the composite reinforcement. Data from smart sensors is paired with computational modeling results of composite-concrete system and AI-driven machine learning algorithms to assess and predict the condition of the composite reinforcement. The system detects the structural and materials failure and anomaly mechanism and predicts the associated risk in a wide range of engineering applications.