Ultrasonic Lamb wave tomography in structural health monitoring
- 1. FBS Incorporated, 3340 West College Avenue, State College, PA 16801 (United States)
- 2. IEEE, Pennsylvania State University, University Park, PA 16802 (United States)
Description
Variations of Lamb wave propagation reflect some changes in effective thickness and material properties caused by such structural flaws as corrosion, fatigue cracks, disbonds and voids that can then be mapped via a reconstructed tomographic image. Ultrasonic Lamb wave tomography can be used to evaluate structural integrity based on the variations in features extracted from measurements made by a transducer array from a reference point in time. In this paper, several tomographic imaging techniques, such as the filtered backprojection algorithm, the algebraic reconstruction technique and the reconstruction algorithm for probabilistic inspection of damage are compared, and the advantages and drawbacks of these methods, as well as practical considerations such as reconstruction fidelity, quality, efficiency and the minimum number of sensors required for each array geometry, are discussed, and some application examples are given
Availability note (English)
Available from http://dx.doi.org/10.1088/0964-1726/20/10/105002Additional details
Identifiers
- DOI
- 10.1088/0964-1726/20/10/105002;
- PII
- S0964-1726(11)88436-3;
Publishing Information
- Journal Title
- Smart Materials and Structures (Print)
- Journal Volume
- 20
- Journal Issue
- 10
- Journal Page Range
- [10 p.]
- ISSN
- 0964-1726
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 44127127
- Subject category
- S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- ALGORITHMS; COMPARATIVE EVALUATIONS; DEFECTS; EFFICIENCY; INSPECTION; MONITORING; PROBABILISTIC ESTIMATION; SENSORS; THICKNESS; TOMOGRAPHY; TRANSDUCERS; WAVE PROPAGATION
- Descriptors DEC
- CALCULATION METHODS; DIAGNOSTIC TECHNIQUES; DIMENSIONS; EVALUATION; MATHEMATICAL LOGIC