Noncontact structural dynamic characteristics identification method and its test verification

A noncontact structural dynamic characteristics identification method based on machine vision technology was proposed in order to overcome the existent drawbacks of traditional structural vibration monitoring, such as, difficult arrangement of sensors and wires, disturbing traffic, etc. The method of multi-point structural dynamic displacement calculation based on the pattern matching algorithm was developed. Structural dynamic characteristics were identified by using multi-point structural displacement time history signals. A vertical steel bar to analog a bridge tower was fabricated, LED lamps and accelerometers were deployed on it. A comparative investigation for vibration monitoring and dynamic characteristics identification was conducted using the vision-based displacement measurement system and the acceleration measurement system synchronously. The test results demonstrated that the structural dynamic indices with the proposed system and the acceleration measurement system agree well, they verify the feasibility of the proposed method for structural dynamic characteristics identification. © 2017, Editorial Office of Journal of Vibration and Shock. All right reserved.