Dr. Yun Zhou Profile

Dr. Yun Zhou

at Drexel Univ

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Proceedings Article | 20 April 2011 Paper

Rapid impact testing for quantitative assessment of large populations of bridges

Yun Zhou, John Prader, John DeVitis, Adrienne Deal, Jian Zhang, Franklin Moon, A. Emin Aktan

Proceedings Volume 7983, 798322 (2011) https://doi.org/10.1117/12.880931

KEYWORDS: Bridges, Sensors, Modal analysis, Structural health monitoring, Calibration, Inspection, Finite element methods, Data modeling, Reliability, Fourier transforms

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Although the widely acknowledged shortcomings of visual inspection have fueled significant advances in the areas of non-destructive evaluation and structural health monitoring (SHM) over the last several decades, the actual practice of bridge assessment has remained largely unchanged. The authors believe the lack of adoption, especially of SHM technologies, is related to the 'single structure' scenarios that drive most research. To overcome this, the authors have developed a concept for a rapid single-input, multiple-output (SIMO) impact testing device that will be capable of capturing modal parameters and estimating flexibility/deflection basins of common highway bridges during routine inspections. The device is composed of a trailer-mounted impact source (capable of delivering a 50 kip impact) and retractable sensor arms, and will be controlled by an automated data acquisition, processing and modal parameter estimation software. The research presented in this paper covers (a) the theoretical basis for SISO, SIMO and MIMO impact testing to estimate flexibility, (b) proof of concept numerical studies using a finite element model, and (c) a pilot implementation on an operating highway bridge. Results indicate that the proposed approach can estimate modal flexibility within a few percent of static flexibility; however, the estimated modal flexibility matrix is only reliable for the substructures associated with the various SIMO tests. To overcome this shortcoming, a modal 'stitching' approach for substructure integration to estimate the full Eigen vector matrix is developed, and preliminary results of these methods are also presented.

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