Ensuring the longevity of concrete infrastructure is essential for sustainable development. This paper presents an approach for service-life assessment of concrete structures, focusing on non-linear finite element modeling supported by monitoring data and drone survey insights. Implemented within a digital twin framework, these inputs dynamically refine the numerical model, enabling more accurate evaluations of structural integrity. The methodology combines semi-probabilistic safety formats and reliability-based safety concepts to track performance, identify deterioration, and guide maintenance decisions. Preliminary results suggest that correlating on-site observations with advanced modeling enhances predictive accuracy, facilitating targeted interventions and resource allocation. Overall, this approach advances digital asset management, promoting resilience and sustainability across critical concrete infrastructure.