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Study on iterative modification method of parameters in the health monitoring of large-span continuous rigid frame bridges

By: Wu, Duo.
Contributor(s): Liu, Laijun.
Publisher: USA Springer 2022Edition: Vol.103(1),Mar.Description: 271-281p.Subject(s): Humanities and Applied SciencesOnline resources: Click here In: Journal of the institution of engineers (India): Series ASummary: In order to solve the benchmark problem of the initial model in the health monitoring of long-span bridges, a new improved parametric model modification method is proposed. Firstly, correlation analysis of dynamic characteristics of target structure was carried out and appropriate modification parameters were selected. Then, the model was subjected to multi-parameters sensitivity cyclic iterative analysis. Finally, the most suitable parameters were selected according to the analysis results for model modification operation. Taking a large-span continuous rigid frame bridge as an example, this method was used to perform stepwise iterative modification of multi-parameters. The results show that via modification operation the maximum error between the calculated model frequency of the rigid frame bridge and the field measured frequency was reduced from 15.89 to 2.47%, with a high fitting degree. And the dynamic test of the bridge was carried out to verify the deflection modification effect. The results show that the difference between the model and the measured deflection was reduced from 14.15 ~ 33.4% to less than or equal to 12.5%, with a satisfactory modification effect. Therefore, the method can be applied to the health monitoring of long-span bridges to improve the monitoring accuracy.
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In order to solve the benchmark problem of the initial model in the health monitoring of long-span bridges, a new improved parametric model modification method is proposed. Firstly, correlation analysis of dynamic characteristics of target structure was carried out and appropriate modification parameters were selected. Then, the model was subjected to multi-parameters sensitivity cyclic iterative analysis. Finally, the most suitable parameters were selected according to the analysis results for model modification operation. Taking a large-span continuous rigid frame bridge as an example, this method was used to perform stepwise iterative modification of multi-parameters. The results show that via modification operation the maximum error between the calculated model frequency of the rigid frame bridge and the field measured frequency was reduced from 15.89 to 2.47%, with a high fitting degree. And the dynamic test of the bridge was carried out to verify the deflection modification effect. The results show that the difference between the model and the measured deflection was reduced from 14.15 ~ 33.4% to less than or equal to 12.5%, with a satisfactory modification effect. Therefore, the method can be applied to the health monitoring of long-span bridges to improve the monitoring accuracy.

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