Development of Acoustic Model-Based Iterative Reconstruction Technique for Thick-Concrete Imaging
Abstract
Ultrasound signals have been used extensively for non-destructive evaluation (NDE). However, typical reconstruction techniques, such as the synthetic aperture focusing technique (SAFT), are limited to quasi-homogenous thin media. New ultrasonic systems and reconstruction algorithms are in need for one-sided NDE of non-homogenous thick objects. An application example space is imaging of reinforced concrete structures for commercial nuclear power plants (NPPs). These structures provide important foundation, support, shielding, and containment functions. Identification and management of aging and degradation of concrete structures is fundamental to the proposed long-term operation of NPPs. Another example is geothermal and oil/gas production wells. These multi-layered structures are composed of steel, cement, and several types of soil and rocks. Ultrasound systems with greater penetration range and image quality will allow for better monitoring of the well s health and prediction of high-pressure hydraulic fracturing of the rock. These application challenges need to be addressed with an integrated imaging approach, where the application, hardware, and reconstruction software are highly integrated and optimized. Therefore, we are developing an ultrasonic system with Model-Based Iterative Reconstruction (MBIR) as the image reconstruction backbone. As the first implementation of MBIR for ultrasonic signals, this paper document the first implementation of the algorithm andmore »
- Authors:
-
- Purdue University
- ORNL
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1244195
- DOE Contract Number:
- AC05-00OR22725
- Resource Type:
- Conference
- Resource Relation:
- Conference: Annual Review of Progress in Quantitative Nondestructive Evaluation, Minneapolis, MN, USA, 20150727, 20150731
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Almansouri, Hani, Clayton, Dwight A, Kisner, Roger A, Polsky, Yarom, Bouman, Charlie, and Santos-Villalobos, Hector J. Development of Acoustic Model-Based Iterative Reconstruction Technique for Thick-Concrete Imaging. United States: N. p., 2015.
Web.
Almansouri, Hani, Clayton, Dwight A, Kisner, Roger A, Polsky, Yarom, Bouman, Charlie, & Santos-Villalobos, Hector J. Development of Acoustic Model-Based Iterative Reconstruction Technique for Thick-Concrete Imaging. United States.
Almansouri, Hani, Clayton, Dwight A, Kisner, Roger A, Polsky, Yarom, Bouman, Charlie, and Santos-Villalobos, Hector J. 2015.
"Development of Acoustic Model-Based Iterative Reconstruction Technique for Thick-Concrete Imaging". United States. https://www.osti.gov/servlets/purl/1244195.
@article{osti_1244195,
title = {Development of Acoustic Model-Based Iterative Reconstruction Technique for Thick-Concrete Imaging},
author = {Almansouri, Hani and Clayton, Dwight A and Kisner, Roger A and Polsky, Yarom and Bouman, Charlie and Santos-Villalobos, Hector J},
abstractNote = {Ultrasound signals have been used extensively for non-destructive evaluation (NDE). However, typical reconstruction techniques, such as the synthetic aperture focusing technique (SAFT), are limited to quasi-homogenous thin media. New ultrasonic systems and reconstruction algorithms are in need for one-sided NDE of non-homogenous thick objects. An application example space is imaging of reinforced concrete structures for commercial nuclear power plants (NPPs). These structures provide important foundation, support, shielding, and containment functions. Identification and management of aging and degradation of concrete structures is fundamental to the proposed long-term operation of NPPs. Another example is geothermal and oil/gas production wells. These multi-layered structures are composed of steel, cement, and several types of soil and rocks. Ultrasound systems with greater penetration range and image quality will allow for better monitoring of the well s health and prediction of high-pressure hydraulic fracturing of the rock. These application challenges need to be addressed with an integrated imaging approach, where the application, hardware, and reconstruction software are highly integrated and optimized. Therefore, we are developing an ultrasonic system with Model-Based Iterative Reconstruction (MBIR) as the image reconstruction backbone. As the first implementation of MBIR for ultrasonic signals, this paper document the first implementation of the algorithm and show reconstruction results for synthetically generated data.},
doi = {},
url = {https://www.osti.gov/biblio/1244195},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jan 01 00:00:00 EST 2015},
month = {Thu Jan 01 00:00:00 EST 2015}
}