Title page for etd-0712122-173608


URN etd-0712122-173608 Statistics This thesis had been viewed 55 times. Download 1 times.
Author Zhi-wei Yang
Author's Email Address m22221124@gmail.com
Department Department of construction & spatial design
Year 2021 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 104
Title A Study of the Application of UAVs in Measuring the Displacement of Steel Bridge Piers and Detecting Rusting
Keyword
  • Bridge detection
  • UAV
  • Numerical terrain model
  • Numerical terrain model
  • UAV
  • Bridge detection
  • Abstract ¡@¡@Bridge is an important facility to maintain people's livelihood and economy. With the long-term use and the increase of traffic volume, the bridge is continuously damaged, which seriously affects its safety. To this end, the relevant maintenance units need to prepare budget and manpower to conduct regular inspections of deteriorating bridges. However, traditional inspections require too much money and time, and the safety during inspection cannot be guaranteed. Therefore, low-cost, high-precision Unmanned Aerial Vehicle (UAV) for bridge inspection is becoming more and more popular.
    ¡@¡@This study takes Pingpu Bridge and Danlan Suspension Bridge as objects. The Mavic 2 pro drone developed by Dajiang Innovation Technology Co., Ltd. (DJI) is used to photograph the two bridges, and the Pix4Dmapper software is used to build the numerical terrain Model from the photos. It was found that,
    The offsets of points A, B, C, and D of the Danlan Suspension Bridge are all within 10 cm, while the Pingpu Bridge has a large amount of traffic and was affected by earthquakes during the measurement process, so the offset of the bridge is larger. This result can be used as an assessment of bridge displacement before and after the earthquake. In addition, the unmanned aerial vehicle can clearly show the location of corrosion when photographing the appearance of the bridge, which helps to detect the deterioration of the bridge.
    Advisor Committee
  • Hung-chao Teng - advisor
  • Ruey-syan Shih - co-chair
  • Jee-cheng Wu - chair
  • Files indicate access worldwide
    Date of Defense 2022-06-23 Date of Submission 2022-07-12

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