Automation and digitalisation in quality control and in-service inspection of reinforced concrete structures

Two-Day Training Program on Automation and digitalisation in quality control and in-service inspection of reinforced concrete structures

Join us for an intensive two-day training program focused on Automation and digitalisation in quality control and in-service inspection of reinforced concrete structures.

What You’ll Gain:

• Cutting-edge knowledge in RC inspection, including the defects and degradation in RC, sensor technologies, digital twin technology, machine learning for SHM data analysis, and robotic inspections.
• Practical Experience: Participate in lab sessions featuring state-of-the-art NDT methods such as Ultrasonic, acoustic emission monitoring, fibre optics, and thermography.
• Industry Insights: Learn from real-world case studies on bridges, wind turbines, and large-scale infrastructure projects, providing context for practical implementation.
• Networking Opportunities: Engage with industry professionals, researchers, and peers working at the forefront of construction technology.

Program Overview

Day 1: Fundamentals and Practical Insights

Morning Session
Introduction to Quality Control in Reinforced Concrete (RC) Manufacturing (1.5h)

• Defects in RC: Voids, Cracks, and Corrosion
• Quality Control Techniques During Manufacturing

Service Life Analysis of RC Structures (1.5h)

• Mechanisms of RC Degradation
• In-Service Performance Evaluation

Break

Midday Session
Principles of NDT/SHM for RC Structures (2h)

• Active and Passive Sensing Methods
• Factors Affecting Sensor Performance

Lunch Break

Afternoon Session
Modelling Defects in RC: From Theory to Practice (2h)

• Computational Defect Modelling
• Case Studies on Voids and Crack Propagation

Laboratory Demonstrations (1.5h)

• Hands-on: AE, Fiber Optics, and Thermography

Day 2: Advanced Techniques and Applications

Morning Session
Digitalisation in NDT/SHM: Real-Time Monitoring (1.5h)

• Digital Twins and BIM Integration
• Inspection and Maintenance Automation

Machine Learning for SHM Data Analysis (1.5h)

• Data Fusion Techniques
• AI-Driven Anomaly Detection

Break

Midday Session
Automation in SHM: Robotics and UAVs (2h)

• Autonomous Inspection Robotics
• UAV Demonstrations and Pilot Trials

Lunch Break

Afternoon Session
Industry Case Studies and Panel Discussion (2h)

• Real-World Applications in Bridges and Wind Turbines
• Expert Panel Q&A

Closing Remarks and Feedback Session (1h)

Costs:

RILEM member/PhD-, MSc-students           500 euro

Postdocs    (proof required)                          850 euro

Professors/academic professionals            1600 euro

Professionals from industry                        2000 euro

The cost includes: -    Course material -> handouts -    Lunch, coffee and refreshments during the day

Be part of shaping the digital future of the built environment — see you in Delft! Register here!