SpS 09 Advanced monitoring and data analytics for civil infrastructure
- Sylvia Kessler (HSU Hamburg, Germany)
This special session will highlight recent advances in structural monitoring and data interpretation for concrete structures and infrastructure. Contributions will address innovative sensing technologies such as distributed fiber-optic sensors, computer vision, contactless sensors, and multi-sensor systems. Particular attention will be given to methods that transform large and heterogeneous datasets into reliable information for structural assessment, damage detection, and maintenance planning. Topics may include physics-informed machine learning, probabilistic data interpretation, digital twins, uncertainty quantification, and value-of-information approaches. Experimental investigations, field applications, and practical case studies are particularly encouraged. The session aims to connect developments in sensing, structural mechanics, and data science, while critically discussing monitoring reliability, robustness, cost, and integration into engineering practice.