Data-Driven Life-Cycle Management of Civil Infrastructure for Sustainable Maintenance and Performance Assessment

This research presents a data-driven life-cycle management framework for sustainable maintenance and performance assessment of civil infrastructure. The study integrates infrastructure condition data, inspection records, monitoring technologies, predictive analytics, maintenance prioritisation, life-cycle assessment, and sustainability indicators to support informed infrastructure management decisions. The proposed framework provides a structured approach for transforming infrastructure data into actionable maintenance and investment decisions across the asset life cycle. It also introduces an Infrastructure Life-Cycle Performance Index (ILPI) to support the assessment and prioritisation of infrastructure assets based on performance, condition, risk, cost, and sustainability considerations. The study synthesises relevant literature and established asset-management principles to develop an adaptable framework applicable to bridges, roads, and other civil infrastructure systems. An illustrative decision example is included to demonstrate how the framework can support maintenance prioritisation. The work is intended to contribute to sustainable infrastructure management, life-cycle decision-making, and data-informed maintenance planning.