非接触式结构动力特性识别方法研究

noncontact structural dynamic characteristics identification method based on machine vision technology is proposed in order to overcome the existent drawbacks of traditional structural vibration monitoring, such as difficult arrangement of sensors and wires, disturbance of traffic, etc. The method of multi-point structural dynamic displacement calculation based on pattern matching algorithm is developed. Structural dynamic characteristics are identified by use of multi-point structural displacement time history signals. A vertical steel bar to simulate the bridge tower is fabricated and LED lamps and accelerometers are deployed. A comparative study of vibration monitoring and dynamic characteristics identification are conducted with the vision-based displacement measurement system and the acceleration measurement system synchronously. The experimental results demonstrate that the structural dynamic indicators analyzed by the proposed system and the acceleration measurement system are quite consistent, which validates the feasibility of the proposed method for structural dynamic characteristics identification.