A civil engineering–aware progressive learning framework for reliable diagnosis of concrete surface pathologies

Key Points

• Diagnosis of concrete surface pathologies improves with a specialized learning framework, enabling more accurate assessments.
• Key evidence shows that this framework can reliably identify multiple surface issues in concrete structures.
• The analysis uses a progressive learning approach to enhance diagnostic accuracy, focusing on various concrete pathologies.
• Highlights the need for better diagnostic methods in civil engineering, indicating potential for improved maintenance practices.