Workshop Agenda

CSHM-10 Physics informed Structural Health Monitoring

The 10th International Workshop of Civil Structural Health Monitoring, CSHM-10 2026, will provide an unique educational and training experience for international researchers, engineers and practitioners to explore and discuss recent advances and the state-of-the-art, state-of-the-practice and future trends in physics informed SHM.

The digital twin concept of an engineering structure holds the potential to provide a comprehensive data management and forecasting capabilities for lifetime assessment. However, to fully realize these benefits, it is essential to accurately represent the underlying physics of the structure.

Physics-informed structural health monitoring (SHM), which incorporates realistic physical models of material behavior, structural response, damage mechanisms, and aging processes, offers a promising framework to enhance monitoring capabilities and inform operation and maintenance planning. Nevertheless, the technical challenges and model requirements associated with this approach are highly context-dependent and can vary significantly across different applications.

The following sessions and corresponding keynote lectures are planned under the overarching topic physics-informed SHM:

(1) Use cases and physical mechanisms

Prestressed concrete structures: Focus on damage mechanisms, particularly stress corrosion cracking.
Steel structures with welded, bolted, riveted connections: Insights into material fatigue and crack propagation.
Bridge structures: understanding corrosion processes and their structural impact
Environmental influences: effects of environmental conditions and temperature-dependent stresses

(2) Diagnostics and prognostics

Which diagnostic methods are available? Including sensor-based monitoring, non-destructive testing, visual inspection etc.
How to monitor processes that change the structural condition, degrade the strength, affect support conditions?
Method sensitivity: diagnostic sensitivity to various damage types
Assessment of the structural condition and performance (at element level)
Impact of environmental and operational variations

(3) Data management including physical information and
“birth certificates” for new structures based on SHM/NDT

Structure and challenges of data management: handling heterogeneous information sources, data accessibility, and processing requirements
Integration of physical and structural model data: including material properties and structural parameters
Incorporating SHM data: methods for integrating monitoring and inspection data into digital data management systems
Defining the "birth certificate": what information should be included for newly built structures

(4) Model quality and uncertainty

Required level of physical modeling accuracy: defining appropriate fidelity for damage diagnosis, prognosis, and structural assessment
Modeling uncertainty: approaches for representing uncertainties in physical models
Updating uncertainty: improving uncertainty estimates based on measurements and observations
Best practices: identifying and standardizing best practices for managing model quality and uncertainty

(5) Data and model-driven lifetime analysis and standardization

Verification and prognosis of structural safety: as part of an integrated, structured assessment approach
Standardization: strategies for integrating SHM data into standardized procedures
Workflow development: exemplary and generalized processes for SHM-supported structural assessment
Model-based decision management, including:

Inspection (e.g. NDT, visual, and image-based methods) and monitoring
Maintenance and repairs
End-of-life decision-making
Evaluating the added value of SHM through model-informed assessments