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Your search keyword '"Abbasi, Waheed A."' showing total 4 results
Start Over Author "Abbasi, Waheed A." Topic nondestructive testing
4 results on '"Abbasi, Waheed A."'

1. Risk Assessment of Turbine Rotor Failure Using Probabilistic Ultrasonic Non-Destructive Evaluations.

Author

Xuefei Guan, Jingdan Zhang, Zhou, S. Kevin, Rasselkorde, El Mahjoub, and Abbasi, Waheed A.

Subjects
TURBINE blades, ROTORS, ULTRASONIC testing, NONDESTRUCTIVE testing, PROBABILITY density function, PARAMETER estimation
Abstract

The study presents a method and application of risk assessment methodology for turbine rotor fatigue failure using probabilistic ultrasonic nondestructive evaluations. A rigorous probabilistic modeling for ultrasonic flaw sizing is developed by incorporating the model-assisted probability of detection, and the probability density function (PDF) of the actual flaw size is derived. Two general scenarios, namely the ultrasonic inspection with an identified flaw indication and the ultrasonic inspection without flaw indication, are considered in the derivation. To perform estimations for fatigue reliability and remaining useful life, uncertainties from ultrasonic flaw sizing and fatigue model parameters are systematically included and quantified. The model parameter PDF is estimated using Bayesian parameter estimation and actual fatigue testing data. The overall method is demonstrated using a realistic application of steam turbine rotor, and the risk analysis under given safety criteria is provided to support maintenance planning. [ABSTRACT FROM AUTHOR]

Published
2014
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2. Post-Processing of Phased-Array Ultrasonic Inspection Data with Parallel Computing for Nondestructive Evaluation.

Author

Guan, Xuefei, Zhang, Jingdan, Zhou, S., Rasselkorde, El, and Abbasi, Waheed

Subjects
ULTRASONIC equipment, NONDESTRUCTIVE testing, GAUSSIAN distribution, DATA analysis, SAMPLING (Process)
Abstract

Phased-array ultrasonic nondestructive evaluation is an effective tool of safety assurance for key structural components. The paper presents a general post-processing methodology for phased-array ultrasonic inspection data. The methodology is developed to integrate three components: mapping of sampling points to structure model, re-sampling from non-uniformly distributed sampling points in phased-array to a uniform volume, and data fusion strategies for multiple channels. An adaptive method called spatially adaptive Gaussian splatting is proposed for data re-sampling and fusion considering the reconstruction resolution and local characteristics of ultrasonic sound paths. This adaptivity provides a viable approach to minimize the effects of under-sampling, over-sampling, and holes which are introduced by the non-uniformly distributed sampling points. The processing of large scale data through segmentation and parallelization techniques is discussed in detail. The effectiveness and performance of the proposed methodology are investigated using actual phased-array ultrasonic testing data. [ABSTRACT FROM AUTHOR]

Published
2014
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3. Probabilistic Fatigue Life Prediction and Structural Reliability Evaluation of Turbine Rotors Integrating an Automated Ultrasonic Inspection System.

Author

Guan, Xuefei, He, Jingjing, Rasselkorde, El, Zhang, Jingdan, Abbasi, Waheed, and Zhou, S.

Subjects
ROTORS, STRUCTURAL reliability, NONDESTRUCTIVE testing, BAYESIAN analysis, ULTRASONIC equipment
Abstract

The paper presents a general method and procedure for fatigue reliability assessment integrating automated ultrasonic non-destructive inspections. The basic structure of an automated ultrasonic inspection system is presented. Fatigue reliability assessment methodology is developed using uncertainty quantification models for detection, sizing, and fatigue model parameters. The probability of detection model is based on a classical log-linear model coupling the actual flaw size with the ultrasonic inspection reported size. Using probabilistic modeling, the distribution of the actual flaw size is derived. Reliability assessment procedure using ultrasonic inspection data is suggested. A steam turbine rotor example with realistic ultrasonic inspection data is presented to demonstrate the overall method. Calculations and interpretations of assessment results based on risk recommendations for industrial applications are given. [ABSTRACT FROM AUTHOR]

Published
2014
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4. Material damage diagnosis and characterization for turbine rotors using three-dimensional adaptive ultrasonic NDE data reconstruction techniques.

Author

Guan, Xuefei, Zhang, Jingdan, Rasselkorde, El Mahjoub, Abbasi, Waheed A., and Kevin Zhou, S.

Subjects
*ROTORS, *DATA recovery, *NONDESTRUCTIVE testing, *GAUSSIAN processes, *DATA fusion (Statistics), *TURBINES
Abstract

Highlights: [•] A 3D ultrasonic NDE data reconstruction methodology is developed. [•] A spatially adaptive Gaussian kernel is proposed for data fusion. [•] Automatic damage identification and sizing is developed. [•] A software tool named AutoNDE Rotor is developed. [•] Proposed methods are investigated using realistic ultrasonic inspection data. [Copyright &y& Elsevier]

Published
2014
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