PSI - Issue 54

Mohammad Shamim Miah et al. / Procedia Structural Integrity 54 (2024) 3–10 Author name / Structural Integrity Procedia 00 (2023) 000–000

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4. Conclusion The dynamic properties of a steel bridge has been evaluated based on measured acceleration data. Accel eration data are captured under abrupt type dynamic loads with extra weight on the bridge. And data has been recorded via 4 Accelerometers those have been employed at different locations of the bridge. It has been observed that the sensors placed at different locations are capable of capturing the movement, especially, those were placed on the bridge. Also, found that the valuable dynamic properties of the structure e.g. resonant frequency, peak values, damping ratios can be altered significantly based on the input excitation and sensors locations. Last but not least, it can be noted that data evaluator/engineers must pay attention to the results before making final judgements about the projeckt.

Acknowledgements The authors highly appreciate the support of the Graz University of Technology, Graz, Austria.

References

Li, Z. X., Chan, T. H. T., Ko, J. M. (2002). Evaluation of typhoon induced fatigue damage for Tsing Ma Bridge. Engineering Structures, 24(8), 1035–1047. Duan, P., Kang, X., Ghamisi, P., Liu, Y. 2020. Multilevel structure extraction-based multi-sensor data fusion. Remote Sensing, 12(24), 1–17. Dong, J., Zhuang, D., Huang, Y., Fu, J. 2009. Advances in multi-sensor data fusion: Algorithms and applications. Sensors, 9(10), 7771–7784. Sun, M., Staszewski, W. J., Swamy, R. N. 2010. Smart Sensing Technologies for Structural Health Monitoring of Civil Engi neering Structures. Advances in Civil Engineering, 2010, 1–13. Enckell, M. 2006. Structural Health Monitoring using Modern Sensor Technology -Long-term Monitoring of the New Årsta Railway Bridge [KTH Royal Institute of Technology]. In KTH Royal Institute of Technology (Issue September), Stockholm: KTH , 2006. , p. viii, 147. Miah, M. S., Lienhart, W. 2023. Deflection condition monitoring of a steel bridge via remote sensing techniques. Current Perspectives and New Directions in Mechanics, Modelling and Design of Structural Systems - Proceedings of the 8th International Conference on Structural Engineering, Mechanics and Computation, 2022, 1825 – 1831. Dyke S. J. 1998. Seismic protection of a benchmark building using magnetorheological dampers. Proceedings of the 2nd World Conference on Structural Control, Kyoto:[sn], 1455–1462. Miah, M. S., Chatzi, E. N., Dertimanis, V. K., Weber, F. 2017. Real-time experimental validation of a novel semi-active control scheme for vibration mitigation. Structural Control and Health Monitoring, 24(3), e1878. Ahlborn, T. M., Shuchman, R. A., Sutter, L. L., Harris, D. K., Brooks, C. N., Burns, J. W. 2013. Bridge Condition Assessment Using Remote Sensors. II(0005), 296. Biondi, F., Addabbo, P., Ullo, S. L., Clemente, C., Orlando, D. 2020. Perspectives on the structural health monitoring of bridges by synthetic aperture radar. Remote Sensing, 12(23), 1–25. Guo, F., Qian, Y., Wu, Y., Leng, Z., Yu, H. 2021. Automatic railroad track components inspection using real-time instance segmentation. Computer-Aided Civil and Infrastructure Engineering, 36(3), 362–377. Soldovieri, F., Ponzo, F. C., Ditommaso, R., Cuomo, V. 2021. Multimodal sensing for sustainable structural health monitoring of critical infrastructures and built environment. In E. Stella (Ed.), Multimodal Sensing and Artificial Intelligence: Technologies and Applications II, SPIE, 11785, 31–39. Ehrhart, M., Lienhart, W. (2017). Accurate Measurements with Image-Assisted Total Stations and Their Prerequisites. Journal of Surveying Engineering, 143(2), 04016024. Jenkel, C., Graf, W., Sickert, J.-U. 2008. Structural health monitoring under consideration of uncertain data. LS-DYNA Anwenderforum, 1–10. Hirai, K., Mita, A. 2016. Uncertainty analysis of practical structural health monitoring systems currently employed for tall buildings consisting of small number of sensors. In T. Kundu (Ed.), Health Monitoring of Structural and Biological Systems 2016, SPIE, 9805, 95–107. Lam, H. F. 1998. Structural Model Updating and Health Monitoring in the Presence of Modeling Uncertainties. PhD Thesis, Hong Kong University of Science and Technology, 263. Gokce, H. B. 2012. Structural Identification Through Monitoring, Modeling And Predictive Analysis Under Uncertainty (Issue 2012) [University of Central Florida], Electronic Theses and Dissertations. 2129. Liu, G., Mao, Z., Luo, J. 2015. Damage detection with interval analysis for uncertainties quantification. Proceedings of the Second International Conference on Performance-Based and Life-Cycle Structural Engineering (PLSE 2015), 30(1), 272–281.