Chuan-Zhi Dong

TL;DR: A robust vision-based displacement measurement method which can handle the two common and important adverse factors given above and achieve sensitivity at the subpixel level is developed.

TL;DR: In this article, a smart elasto-magneto-electric (EME) sensor was proposed for stress/force monitoring of in-service steel structures, and the application of the developed EME sensory system on the cable force monitoring of the Second Jiaojiang Bridge in China is presented.

TL;DR: The proposed vision-based approach provides a promising and efficient alternative for the vibration serviceability assessment of footbridges combined with the current standards and codes and provides another approach for the serviceability Assessment using different data type such as displacement and velocity.

TL;DR: In this paper, a novel cable force monitoring system integrated with a multi-point pattern matching algorithm is developed, which has been validated by conducting the uniaxial tensile tests of steel bars, steel wire ropes, and parallel strand cables on a universal testing machine (UTM) as well as a series of moving loading experiments on a scale arch bridge model.

TL;DR: A novel, practical, cost-effective, and field test-based methodology using portable cameras and computer vision technologies to identify the lateral live load distribution factors for the existing highway bridges to perform load rating will be practical and cost- effective for bridge load rating in smart cities.