2025 Volume 6 Issue 3 Pages 509-520
In the maintenance management of civil engineering structures, diagnosis that connects inspection and countermeasures is crucial. Although diagnosis is an advanced task requiring specialized knowledge, it fundamentally relies on the judgment of engineers with experience and advanced expertise. When specialized knowledge becomes person-dependent, ensuring accountability and securing qualified engineers becomes a challenge. This study focuses on reinforced concrete deck slabs of steel bridges and develops a rule-based expert AI system. In developing the diagnostic system, we clarified the maintenance workflow and established rule-based processes for complex deck slab diagnosis that cannot be standardized by existing codes and standards. This approach clarifies the points where engineers need to make judgments, enabling consistent and transparent diagnosis. Additionally, we examined a mechanism for centralized management of data generated during operations and developed a system that enables reproduction and verification of diagnoses in accordance with operational workflows.
