This book provides best-practice guidance and practical recommendations on the use of numerical simulation for probability of detection (POD) curve estimation in the study of non-destructive testing reliability. It focuses on ultrasonic testing (UT) weld inspection but many of the principles can be applied to a broader range of techniques and situations. The first part lists and briefly describes the principal documents that establish the recommended statistical framework adapted for POD curve estimation. It also presents the most important initiatives on the model assisted probability of detection (MAPOD) approach in recent years. The second part provides details of the advantages and limitations of the simulation in this context. The third part then describes the prerequisites for the use of simulation (validation of the software, expertise of the user), and the fourth and main part offers the methodology and guidance as well as possible applications for using POD curves determined using simulation.

This book provides best-practice guidance and practical recommendations on the use of numerical simulation for probability of detection (POD) curve estimation in the study of non-destructive testing reliability. It focuses on ultrasonic testing (UT) weld inspection but many of the principles can be applied to a broader range of techniques and situations. The first part lists and briefly describes the principal documents that establish the recommended statistical framework adapted for POD curve estimation. It also presents the most important initiatives on the model assisted probability of detection (MAPOD) approach in recent years. The second part provides details of the advantages and limitations of the simulation in this context. The third part then describes the prerequisites for the use of simulation (validation of the software, expertise of the user), and the fourth and main part offers the methodology and guidance as well as possible applications for using POD curves determined using simulation.

This book provides insights into sensor development for structural health monitoring. Current technological advances mean that the field is changing rapidly, making standardization an ongoing challenge. As such, the book gathers several essential contributions in the area of sensor development, including macro-fiber composite sensors for crack detection and optical fiber Bragg gratings for flaw detection. It also discusses the use of the welds in the structure as sensors, and probability estimation of detection for various sensor configurations. In addition, it presents methods based on vibration signal variations to detect small defects in composite components or to monitor large structures. Last but not least, the book includes special structural health monitoring applications in industrial components such as a nuclear boiler support spines and industrial presses as well as in corrosion monitoring of pipes.