Abstract: In response to the complex requirements of urban riverfront renovation and reconstruction, this study proposed a digital twin-based application framework for riverbank engineering. From the perspective of the full life cycle of engineering, a multi-stage modeling system and technical framework covering design, construction, and operation phases was established. During the design phase, the model supported a multi-disciplinary collaboration and parametric scheme generation, improving structural adaptability and constructability. In the construction phase, the model functioned as an execution platform to assist with progress control, equipment coordination, and procedural simulation. During operation, it enabled real-time condition monitoring, risk identification, and maintenance decision-making, thereby forming a closed data loop. This study also identified key enabling components for digital twin operation, including information modeling, multi-source sensing, 3D visualization platforms, and intelligent analysis engines.The proposed framework offers a adaptive digital solution for riverbank engineering, and provides technical and methodological support for the digital transformation and intelligent management of complex urban water infrastructure.