High-Precision Noncontact Guided Wave Tomographic Imaging of Plate Structures Using a DHB Algorithm
The safety diagnostic inspection of large plate structures, such as nuclear power plant containment liner plates and aircraft wings, is an important issue directly related to the safety of life. This research intends to present a more quantitative defect imaging in the structural health monitoring (...
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doaj-3090e0f386394389ae8297ba74eed40d2020-11-25T03:27:46ZengMDPI AGApplied Sciences2076-34172020-06-01104360436010.3390/app10124360High-Precision Noncontact Guided Wave Tomographic Imaging of Plate Structures Using a DHB AlgorithmJunpil Park0Jaesun Lee1Zong Le2Younho Cho3School of Mechanical Engineering, Pusan National University, Busan 46241, KoreaSchool of Mechanical Engineering, Changwon National University, Changwon 51140, KoreaNational Deep Sea Center, Ministry of Natural Resources, Qingdao 266247, ChinaSchool of Mechanical Engineering, Pusan National University, Busan 46241, KoreaThe safety diagnostic inspection of large plate structures, such as nuclear power plant containment liner plates and aircraft wings, is an important issue directly related to the safety of life. This research intends to present a more quantitative defect imaging in the structural health monitoring (SHM) technique by using a wide range of diagnostic techniques using guided ultrasound. A noncontact detection system was applied to compensate for such difficulties because direct access inspection is not possible for high-temperature and massive areas such as nuclear power plants and aircraft. Noncontact systems use unstable pulse laser and air-coupled transducers. Automatic detection systems were built to increase inspection speed and precision and the signal was measured. In addition, a new Difference Hilbert Back Projection (DHB) algorithm that can replace the reconstruction algorithm for the probabilistic inspection of damage (RAPID) algorithm used for imaging defects has been successfully applied to quantitative imaging of plate structure defects. Using an automatic detection system, the precision and detection efficiency of data collection has been greatly improved, and the same results can be obtained by reducing errors in experimental conditions that can occur in repeated experiments. Defects were made in two specimens, and comparative analysis was performed to see if each algorithm can quantitatively represent defects in multiple defects. The new DHB algorithm presented the possibility of observing and predicting the growth direction of defects through the continuous monitoring system.https://www.mdpi.com/2076-3417/10/12/4360tomographic imagingDHB algorithmnoncontactair-coupled transducer |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Junpil Park Jaesun Lee Zong Le Younho Cho |
spellingShingle |
Junpil Park Jaesun Lee Zong Le Younho Cho High-Precision Noncontact Guided Wave Tomographic Imaging of Plate Structures Using a DHB Algorithm Applied Sciences tomographic imaging DHB algorithm noncontact air-coupled transducer |
author_facet |
Junpil Park Jaesun Lee Zong Le Younho Cho |
author_sort |
Junpil Park |
title |
High-Precision Noncontact Guided Wave Tomographic Imaging of Plate Structures Using a DHB Algorithm |
title_short |
High-Precision Noncontact Guided Wave Tomographic Imaging of Plate Structures Using a DHB Algorithm |
title_full |
High-Precision Noncontact Guided Wave Tomographic Imaging of Plate Structures Using a DHB Algorithm |
title_fullStr |
High-Precision Noncontact Guided Wave Tomographic Imaging of Plate Structures Using a DHB Algorithm |
title_full_unstemmed |
High-Precision Noncontact Guided Wave Tomographic Imaging of Plate Structures Using a DHB Algorithm |
title_sort |
high-precision noncontact guided wave tomographic imaging of plate structures using a dhb algorithm |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2020-06-01 |
description |
The safety diagnostic inspection of large plate structures, such as nuclear power plant containment liner plates and aircraft wings, is an important issue directly related to the safety of life. This research intends to present a more quantitative defect imaging in the structural health monitoring (SHM) technique by using a wide range of diagnostic techniques using guided ultrasound. A noncontact detection system was applied to compensate for such difficulties because direct access inspection is not possible for high-temperature and massive areas such as nuclear power plants and aircraft. Noncontact systems use unstable pulse laser and air-coupled transducers. Automatic detection systems were built to increase inspection speed and precision and the signal was measured. In addition, a new Difference Hilbert Back Projection (DHB) algorithm that can replace the reconstruction algorithm for the probabilistic inspection of damage (RAPID) algorithm used for imaging defects has been successfully applied to quantitative imaging of plate structure defects. Using an automatic detection system, the precision and detection efficiency of data collection has been greatly improved, and the same results can be obtained by reducing errors in experimental conditions that can occur in repeated experiments. Defects were made in two specimens, and comparative analysis was performed to see if each algorithm can quantitatively represent defects in multiple defects. The new DHB algorithm presented the possibility of observing and predicting the growth direction of defects through the continuous monitoring system. |
topic |
tomographic imaging DHB algorithm noncontact air-coupled transducer |
url |
https://www.mdpi.com/2076-3417/10/12/4360 |
work_keys_str_mv |
AT junpilpark highprecisionnoncontactguidedwavetomographicimagingofplatestructuresusingadhbalgorithm AT jaesunlee highprecisionnoncontactguidedwavetomographicimagingofplatestructuresusingadhbalgorithm AT zongle highprecisionnoncontactguidedwavetomographicimagingofplatestructuresusingadhbalgorithm AT younhocho highprecisionnoncontactguidedwavetomographicimagingofplatestructuresusingadhbalgorithm |
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