摘要
In recent years, global warming leads rainfall intensity stronger than before. Therefore, bridge management requires a reliable monitoring platform in current, to monitoring of bridge piers based on the variations of safely and river erosion, can be timely warming of the bridge damage, achieving the maintenance of bridges safely in the flood. In view of bridge design and construction technology, the bridge engineering technology has matured, however monitoring and maintenance are important factors in the safety of the bridge. And increased with time, no matter how good engineering, high safely factor and then the bridge has aged, the incidence of deterioration, plus traffic overload, the role of erosion and earthquakes, needs more strengthen its safely monitoring and maintenance to ensure safely. Having this in mind, maintaining the safely of the bridge, this research focus on Chung Sha Bridge on Zhuo-shui River. This research installed accelerometer and inclinometer with the correction of the GPS function around substructure and superstructure of bridge, figured out the bridge scour monitoring technologies associated with natural frequency. And used wireless sensor network to monitor bridge disaster, in the end show whole monitor information on web-based system which developed by this research. This research also through long-term monitoring of scour erosion depth and model parameters such as vibration frequency to derive a similar formula. In addition, by way of remote monitoring management platform also improve the accuracy of the bridge monitor, it provide engineers, bridge maintenance unit a more efficient tool.
原文 | English |
---|---|
頁面 | 772-776 |
頁數 | 5 |
DOIs | |
出版狀態 | Published - 2011 |
事件 | 28th International Symposium on Automation and Robotics in Construction, ISARC 2011 - Seoul, Korea, Republic of 持續時間: 2011 6月 29 → 2011 7月 2 |
Other
Other | 28th International Symposium on Automation and Robotics in Construction, ISARC 2011 |
---|---|
國家/地區 | Korea, Republic of |
城市 | Seoul |
期間 | 11-06-29 → 11-07-02 |
All Science Journal Classification (ASJC) codes
- 人工智慧
- 電腦視覺和模式識別
- 建築與營造