A robot-assisted automated solution for Bridge Identification
In this latest work, led by Xudong Jian, we present a robot-assisted automated solution for identifying bridge frequencies and high-spatial-resolution mode shapes using a minimal number of sensors. A theoretical analysis is conducted to demonstrate the feasibility of the proposed solution and to guide configuration of hardware parameters. An output-only frequency domain decomposition (FDD) algorithm is integrated with the proposed stop-and-go mobile sensing scheme for operational modal analysis.
A programmable wheeled robot, which can be remotely controlled, is used as the mobile platform carrying accelerometers. We validated the proposed solution through two numerical case studies and a full-scale test on a footbridge. Our results show the successful identification of frequencies and high-resolution shapes of the excited structural modes using only two accelerometers, confirming the practicality and efficiency of the method.
This work is the product of a highly collaborative research project at the Singapore-ETH Centre. It forms a collaboration between the SMM group (Prof. Eleni Chatzi, Xudong Jian, Kiran Bacsa), Thrust of Internet of Things at the Hong Kong University of Science and Technology (Prof. Zhilu Lai), Laboratory for Intelligent Infrastructure Technology at the Nanyang Technological University (Prof. Yuguang Fu), Centre for Hazards Research at the National University of Singapore (Prof. Chan Ghee Koh), the Research Division on Structural Health Monitoring and Vibration Control at Tongji University (Prof. Limin Sun), and Chair of Geosensors and Engineering Geodesy at ETH Zurich (Prof. Andreas Wieser).
We further acknowledge the financial support of the National Research Foundation, Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) program.
Read more in the ASCE Journal of Structural Engineering:
external page https://ascelibrary.org/doi/10.1061/JSENDH.STENG-12635