Abstract
The difference in the location and number of sensors induces the acquisition effect of structural state information in the bridge health monitoring system to a certain extent, which is also one of the most difficult problems restricting the development of bridge health monitoring technology. Based on the Modal Assurance Criterion, this paper took a cantilever simply supported beam as an example and adopted the Effective Independence method, Kinetic Energy method and QR decomposition method to optimize a sensor layout. Taking the number of sensors as 5, the layout and MAC matrix factors were analyzed by comparing the MAC matrix and its distribution diagrams obtained by different methods. The results showed that the stepwise subtraction method based on QR decomposition was the best. And by changing the number of sensor, it was found that the optimal number of sensor was 9. It was also found that the existing methods had the shortcomings of over-reliance on the selection of initial measuring points. In order to improve this defect, cyclic iteration of stepwise addition and subtraction was introduced, and an optimal layout method based on the stepwise addition and subtraction of the number of sensors was proposed. Through screening and optimization of this method, the average off-diagonal element in the calculation example was reduced from 0.118 to 0.006 to achieve the satisfactory optimization effect. At the same time, this method was employed to optimize the layout of a concrete continuous rigid-frame bridge with 9 and 19 sensors, and the results showed that the sensor layout was more uniform. Therefore, the proposed method provides the opportunity to obtain fair optimization results and to have a considerable engineering application value.
Subject
Mechanical Engineering,General Materials Science
Reference25 articles.
1. Chen Yang, “Advances and prospects for optimal sensor placement of structural health monitoring,” Journal of Vibration and Shock, Vol. 39, No. 17, pp. 82–93, 2020.
2. G.-D. Zhou, T.-H. Yi, M.-X. Xie, H.-N. Li, and J.-H. Xu, “Optimal wireless sensor placement in structural health monitoring emphasizing information effectiveness and network performance,” Journal of Aerospace Engineering, Vol. 34, No. 2, p. 04020112, Mar. 2021, https://doi.org/10.1061/(asce)as.1943-5525.0001226
3. Bo Gao, Zhi-Hui Bo, and Yu-Bo Song, “Optimal placement of sensors in bridge monitoring based on an adaptive gravity search algorithm,” Journal of Vibration and Shock, Vol. 40, No. 6, pp. 87–92, 2021.
4. S. Desjardins and D. Lau, “dvances in intelligent long-term vibration-based structural health-monitoring systems for bridges,” Advances in Structural Engineering, Vol. 25, No. 7, pp. 1413–1430, 2022.
5. L.-M. Sun, Z.-Q. Shang, and Y. Xia, “Development and prospect of bridge structural health monitoring in the context of big data,” China Journal of Highway and Transport, Vol. 32, No. 11, Dec. 2019, https://doi.org/10.19721/j.cnki.1001-7372.2019.11.001