Recent Advancements in Non-Destructive Testing Techniques for Structural Health Monitoring
Structural health monitoring (SHM) is an important aspect of the assessment of various structures and infrastructure, which involves inspection, monitoring, and maintenance to support economics, quality of life and sustainability in civil engineering. Currently, research has been conducted in order...
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doaj-81383d83427c4adbb06f630c071385a52021-03-19T00:06:32ZengMDPI AGApplied Sciences2076-34172021-03-01112750275010.3390/app11062750Recent Advancements in Non-Destructive Testing Techniques for Structural Health MonitoringPatryk Kot0Magomed Muradov1Michaela Gkantou2George S. Kamaris3Khalid Hashim4David Yeboah5Built Environment and Sustainable Technologies (BEST) Research Institute, Liverpool John Moores University, Liverpool L3 3AF, UKBuilt Environment and Sustainable Technologies (BEST) Research Institute, Liverpool John Moores University, Liverpool L3 3AF, UKBuilt Environment and Sustainable Technologies (BEST) Research Institute, Liverpool John Moores University, Liverpool L3 3AF, UKBuilt Environment and Sustainable Technologies (BEST) Research Institute, Liverpool John Moores University, Liverpool L3 3AF, UKBuilt Environment and Sustainable Technologies (BEST) Research Institute, Liverpool John Moores University, Liverpool L3 3AF, UKBuilt Environment and Sustainable Technologies (BEST) Research Institute, Liverpool John Moores University, Liverpool L3 3AF, UKStructural health monitoring (SHM) is an important aspect of the assessment of various structures and infrastructure, which involves inspection, monitoring, and maintenance to support economics, quality of life and sustainability in civil engineering. Currently, research has been conducted in order to develop non-destructive techniques for SHM to extend the lifespan of monitored structures. This paper will review and summarize the recent advancements in non-destructive testing techniques, namely, sweep frequency approach, ground penetrating radar, infrared technique, fiber optics sensors, camera-based methods, laser scanner techniques, acoustic emission and ultrasonic techniques. Although some of the techniques are widely and successfully utilized in civil engineering, there are still challenges that researchers are addressing. One of the common challenges within the techniques is interpretation, analysis and automation of obtained data, which requires highly skilled and specialized experts. Therefore, researchers are investigating and applying artificial intelligence, namely machine learning algorithms to address the challenges. In addition, researchers have combined multiple techniques in order to improve accuracy and acquire additional parameters to enhance the measurement processes. This study mainly focuses on the scope and recent advancements of the Non-destructive Testing (NDT) application for SHM of concrete, masonry, timber and steel structures.https://www.mdpi.com/2076-3417/11/6/2750concrete structuresnon-destructive testingsensorssteel structuresstructural engineeringstructural health monitoring (SHM) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Patryk Kot Magomed Muradov Michaela Gkantou George S. Kamaris Khalid Hashim David Yeboah |
spellingShingle |
Patryk Kot Magomed Muradov Michaela Gkantou George S. Kamaris Khalid Hashim David Yeboah Recent Advancements in Non-Destructive Testing Techniques for Structural Health Monitoring Applied Sciences concrete structures non-destructive testing sensors steel structures structural engineering structural health monitoring (SHM) |
author_facet |
Patryk Kot Magomed Muradov Michaela Gkantou George S. Kamaris Khalid Hashim David Yeboah |
author_sort |
Patryk Kot |
title |
Recent Advancements in Non-Destructive Testing Techniques for Structural Health Monitoring |
title_short |
Recent Advancements in Non-Destructive Testing Techniques for Structural Health Monitoring |
title_full |
Recent Advancements in Non-Destructive Testing Techniques for Structural Health Monitoring |
title_fullStr |
Recent Advancements in Non-Destructive Testing Techniques for Structural Health Monitoring |
title_full_unstemmed |
Recent Advancements in Non-Destructive Testing Techniques for Structural Health Monitoring |
title_sort |
recent advancements in non-destructive testing techniques for structural health monitoring |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2021-03-01 |
description |
Structural health monitoring (SHM) is an important aspect of the assessment of various structures and infrastructure, which involves inspection, monitoring, and maintenance to support economics, quality of life and sustainability in civil engineering. Currently, research has been conducted in order to develop non-destructive techniques for SHM to extend the lifespan of monitored structures. This paper will review and summarize the recent advancements in non-destructive testing techniques, namely, sweep frequency approach, ground penetrating radar, infrared technique, fiber optics sensors, camera-based methods, laser scanner techniques, acoustic emission and ultrasonic techniques. Although some of the techniques are widely and successfully utilized in civil engineering, there are still challenges that researchers are addressing. One of the common challenges within the techniques is interpretation, analysis and automation of obtained data, which requires highly skilled and specialized experts. Therefore, researchers are investigating and applying artificial intelligence, namely machine learning algorithms to address the challenges. In addition, researchers have combined multiple techniques in order to improve accuracy and acquire additional parameters to enhance the measurement processes. This study mainly focuses on the scope and recent advancements of the Non-destructive Testing (NDT) application for SHM of concrete, masonry, timber and steel structures. |
topic |
concrete structures non-destructive testing sensors steel structures structural engineering structural health monitoring (SHM) |
url |
https://www.mdpi.com/2076-3417/11/6/2750 |
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