- Introduction
The life-cycle performance of civil infrastructure systems has gained increasing attention due to aging assets, rising system complexity, and sustainability requirements. Conventional design and maintenance approaches often focus on individual components, while real infrastructure systems function as integrated entities in which deterioration or maintenance of one subsystem can influence overall system performance and serviceability.
Life Cycle Assessment (LCA) provides a systematic framework for evaluating environmental and economic impacts over the full-service life of infrastructure systems. Meaningful LCA results require clear definitions of system boundaries, functional units, and performance objectives. Recent studies increasingly integrate time-dependent deterioration, maintenance actions, and reliability aspects into LCA, enabling a more realistic representation of long-term infrastructure behavior.
Probabilistic deterioration models, such as Markov chains, are commonly used to describe condition evolution and support maintenance planning under uncertainty. However, effective decision-making requires moving from component-level assessments toward integrated system-level analyses that account for interactions between subsystems and coordinated maintenance strategies.
This project develops an integrated life-cycle assessment framework for a multi-component civil engineering system. The framework combines probabilistic deterioration modeling, degradation timelines, and coordinated maintenance interventions to evaluate long-term system performance and support system-level analysis.
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