ASSESSMENT OF ULTRASONIC NONDESTRUCTIVE INSPECTION DATA USING MONTE CARLO SIMULATION
Ultrasonic NDE is one of important technologies in the life-time maintenance of nuclear power plant. Ultrasonic inspection system is consisted of the operator, equipment and procedure. The reliability of ultrasonic inspection system is affected by its ability. The performance demonstration round robin was conducted to quantify the capability of ultrasonic inspection for in-service. The small number of teams who employed procedures that met or exceeded ASME Sec. XI Code requirements detected the piping of nuclear power plant with various cracks to evaluate the capability of detection and sizing. In this paper, the statistical reliability assessment of ultrasonic nondestructive inspection data using Monte Carlo simulation is presented. The results of the probability of detection (POD) analysis using Monte Carlo simulation are compared to these of logistic probability model. In these results, Monte Carlo simulation was found to be very useful to the reliability assessment for the small NDE hit/miss data sets.
Quantitative Nondestructive Evaluation
Abstract : This manual has been prepared primarily for the non-NDE specialist. Its aim is to increase understanding of NDE capabilities among those involved in structural design and fracture mechanics calculations, and to provide physical details pertaining to most of the important NDE techniques. Since NDE has been so actively applied in the aerospace industry most of the application examples discussed are related to aerospace structures: however the basic ideas apply to any structure containing fracture critical components. The introduction discusses the relationship of fracture mechanics and quantitative NDE. The present practice of NDE, including military specifications, airplane inspection manuals, and inspector training are discussed next. The 'big five' methods of NDE -- liquid penetrant, magnetic particle, ultrasonic inspection, eddy current, and radiography -- are introduced as well as certain advanced inspection methods -- methods still undergoing development. The state-of-the-art, the sensitivity and reliability, of various methods along with the statistical analysis for determining flaw detection probability and confidence levels is presented. Excerpts from two actual airplane inspection manuals are included in the appendix to illustrate the degree to which instructions to inspectors are detailed and specified.
Using Infrared Thermography to Detect Moisture in Historic Masonry: A Case Study in Indiana
Nondestructive testing mapped water infiltration in the decoratively painted interior of a Masonic Temple in Muncie, Indiana.