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Über dieses Buch

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.

Inhaltsverzeichnis

Frontmatter

Background on POD and MAPOD Approach

Frontmatter

Chapter 1. Recommendation Documents on Statistical Methodology Dedicated to POD Analysis

The literature on probability of detection is very large and the intent of this document is not to give a full review on the subject.

Bastien Chapuis, Pierre Calmon, Frédéric Jenson

Chapter 2. Documentation and Recent Initiatives on the Use of Simulation in the Context of POD

In this report Matzkanin and Yolken present a review of the early efforts towards the use of simulation for determining POD curves for different NDE methods until 2001.

Bastien Chapuis, Pierre Calmon, Frédéric Jenson

Advantages and Limitations of the Simulation

Frontmatter

Chapter 3. Advantages of Simulation

POD trials require large-scale experiments performed on representative components containing representative defects.

Bastien Chapuis, Pierre Calmon, Frédéric Jenson

Chapter 4. Difficulties, Limitations

A reluctance to use simulation for POD curve estimation is often due to the, alleged, inability of simulation to correctly reproduce the influence of human factor on the POD curve.

Bastien Chapuis, Pierre Calmon, Frédéric Jenson

Chapter 5. Possible Ways of Using Simulation in the Context of POD Curve Estimation

Simulation allows to estimate the POD curve during the development of the inspection method. This provides good indications on the expected performances at an early stage of the project, for example during the ultrasonic probe optimization.

Bastien Chapuis, Pierre Calmon, Frédéric Jenson

Prerequisites for the Use of Simulation

Frontmatter

Chapter 6. Validation of the Software Tools

The estimation of POD curves using simulation requires three major phases, namely:

Bastien Chapuis, Pierre Calmon, Frédéric Jenson

Chapter 7. Training/Expertise of the Operators

In order to ensure the correctness of results obtained thanks to simulation the operator responsible of the simulation campaign must have the following skills and knowledge:

Bastien Chapuis, Pierre Calmon, Frédéric Jenson

Methodology and Guidance

Frontmatter

Chapter 8. Basics of Statistics for POD

This is not the aim of this document to present the full statistical framework for the POD curve estimation.

Bastien Chapuis, Pierre Calmon, Frédéric Jenson

Chapter 9. Best Practices Principles and Guidance for POD Curves Estimation Using Simulation

In this paragraph, the methodology and guidance to determine the POD curve by simulation is described.

Bastien Chapuis, Pierre Calmon, Frédéric Jenson

Chapter 10. Best Practice Principles and Guidance for the Exploitation of Simulated POD Data in Relation with Experimental Data

The methodology and guidance presented in the previous part allows to estimate a POD curve fully based on simulations.

Bastien Chapuis, Pierre Calmon, Frédéric Jenson

Backmatter

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