Wireless sensor network for structural health monitoring
Excessive loads can lead to cracks which result in the failure of any engineering structure if timely detection is absent. There are various types of traditional sensors which can be used to detect such cracks or excessive loads with huge wiring, human investment, considerable time and error. This...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2017
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/71722 |
| _version_ | 1811690844895313920 |
|---|---|
| author | Lee, Mei Shuang |
| author2 | Soh Chee Kiong |
| author_facet | Soh Chee Kiong Lee, Mei Shuang |
| author_sort | Lee, Mei Shuang |
| collection | NTU |
| description | Excessive loads can lead to cracks which result in the failure of any engineering structure if timely detection is absent. There are various types of traditional sensors which can be used to detect such cracks or excessive loads with huge wiring, human investment, considerable time and error. This Final Year Project (FYP) aims to develop an alternative strategy to existing traditional wired sensors using wireless sensor network (WSN), which is a last decade discovery. However, WSN is still relatively new that needs validation. Hence, experimental studies were done and results were compared with theoretical analysis. A representative numerical modelling was also carried out. This FYP involves the measurement of signals using both the wired and wireless sensors. The WSN was used to monitor the aluminium specimens for vibrations, compression and tensile forces. This project also aimed to identify the location of strains or damage on structures when they were subjected to random loading. This random load was a function of load and the area of structural contact. Lastly, this report explains how WSN worked together with kid’s radio control car to study: (1) the obstacles along the path and motion (2) speed breaker detection, and (3) vehicle identification. In this report, seven experimental investigations have been done to explore the functionality of WSN. Some data were analysed using root mean square deviation (RMSD). |
| first_indexed | 2024-10-01T06:10:28Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/71722 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:10:28Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/717222023-03-03T16:53:13Z Wireless sensor network for structural health monitoring Lee, Mei Shuang Soh Chee Kiong School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering::Structures and design Excessive loads can lead to cracks which result in the failure of any engineering structure if timely detection is absent. There are various types of traditional sensors which can be used to detect such cracks or excessive loads with huge wiring, human investment, considerable time and error. This Final Year Project (FYP) aims to develop an alternative strategy to existing traditional wired sensors using wireless sensor network (WSN), which is a last decade discovery. However, WSN is still relatively new that needs validation. Hence, experimental studies were done and results were compared with theoretical analysis. A representative numerical modelling was also carried out. This FYP involves the measurement of signals using both the wired and wireless sensors. The WSN was used to monitor the aluminium specimens for vibrations, compression and tensile forces. This project also aimed to identify the location of strains or damage on structures when they were subjected to random loading. This random load was a function of load and the area of structural contact. Lastly, this report explains how WSN worked together with kid’s radio control car to study: (1) the obstacles along the path and motion (2) speed breaker detection, and (3) vehicle identification. In this report, seven experimental investigations have been done to explore the functionality of WSN. Some data were analysed using root mean square deviation (RMSD). Bachelor of Engineering (Civil) 2017-05-19T01:37:14Z 2017-05-19T01:37:14Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71722 en Nanyang Technological University 54 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Civil engineering::Structures and design Lee, Mei Shuang Wireless sensor network for structural health monitoring |
| title | Wireless sensor network for structural health monitoring |
| title_full | Wireless sensor network for structural health monitoring |
| title_fullStr | Wireless sensor network for structural health monitoring |
| title_full_unstemmed | Wireless sensor network for structural health monitoring |
| title_short | Wireless sensor network for structural health monitoring |
| title_sort | wireless sensor network for structural health monitoring |
| topic | DRNTU::Engineering::Civil engineering::Structures and design |
| url | http://hdl.handle.net/10356/71722 |
| work_keys_str_mv | AT leemeishuang wirelesssensornetworkforstructuralhealthmonitoring |