Detection of simultaneous structural problems using multiple structural health monitoring techniques
Civil infrastructures are built for long-term use spanning several decades. After the construction, cracks, wear and tear, fatigue, creep, etc., will appear anytime during their life span, which significantly affects the capacity of the structure to bear loads. Hence structure health monitoring (SHM...
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التنسيق: | Final Year Project |
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الوصول للمادة أونلاين: | http://hdl.handle.net/10356/71764 |
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sg-ntu-dr.10356-717642023-03-03T17:09:12Z Detection of simultaneous structural problems using multiple structural health monitoring techniques Yang, Lu Soh Chee Kiong School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering::Structures and design Civil infrastructures are built for long-term use spanning several decades. After the construction, cracks, wear and tear, fatigue, creep, etc., will appear anytime during their life span, which significantly affects the capacity of the structure to bear loads. Hence structure health monitoring (SHM) technique came into existence to detect the structural problems and increase its life span. However, the single SHM technique cannot solve simultaneous structural problems such as cracks - loads, static load - impact, etc. In this project, the author aims at integrating multiple existing SHM techniques such as electromechanical impedance (EMI), electrochemical analysis method, metamaterial based sensing technology, to detect different co- existing problems in the structure. Experiments such as detection of co-existing static and dynamic load on a 2D plate, tyre pressure and boundary monitoring, damages, their propagation were studied using these SHM techniques. Bachelor of Engineering (Civil) 2017-05-19T03:14:30Z 2017-05-19T03:14:30Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71764 en Nanyang Technological University 50 p. application/pdf |
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Singapore Singapore |
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DRNTU::Engineering::Civil engineering::Structures and design |
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DRNTU::Engineering::Civil engineering::Structures and design Yang, Lu Detection of simultaneous structural problems using multiple structural health monitoring techniques |
description |
Civil infrastructures are built for long-term use spanning several decades. After the construction, cracks, wear and tear, fatigue, creep, etc., will appear anytime during their life span, which significantly affects the capacity of the structure to bear loads. Hence structure health monitoring (SHM) technique came into existence to detect the structural problems and increase its life span. However, the single SHM technique cannot solve simultaneous structural problems such as cracks - loads, static load - impact, etc. In this project, the author aims at integrating multiple existing SHM techniques such as electromechanical impedance (EMI), electrochemical analysis method, metamaterial based sensing technology, to detect different co- existing problems in the structure. Experiments such as detection of co-existing static and dynamic load on a 2D plate, tyre pressure and boundary monitoring, damages, their propagation were studied using these SHM techniques. |
author2 |
Soh Chee Kiong |
author_facet |
Soh Chee Kiong Yang, Lu |
format |
Final Year Project |
author |
Yang, Lu |
author_sort |
Yang, Lu |
title |
Detection of simultaneous structural problems using multiple structural health monitoring techniques |
title_short |
Detection of simultaneous structural problems using multiple structural health monitoring techniques |
title_full |
Detection of simultaneous structural problems using multiple structural health monitoring techniques |
title_fullStr |
Detection of simultaneous structural problems using multiple structural health monitoring techniques |
title_full_unstemmed |
Detection of simultaneous structural problems using multiple structural health monitoring techniques |
title_sort |
detection of simultaneous structural problems using multiple structural health monitoring techniques |
publishDate |
2017 |
url |
http://hdl.handle.net/10356/71764 |
_version_ |
1759858132512669696 |