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Combining different forms of statistical energy analysis to predict vibrations in a steel box girder comprising periodic stiffening ribs

  • Luo, Hao (Department of Bridge Engineering, Southwest Jiaotong University) ;
  • Cao, Zhiyang (Department of Bridge Engineering, Southwest Jiaotong University) ;
  • Zhang, Xun (Department of Bridge Engineering, Southwest Jiaotong University) ;
  • Li, Cong (Department of Bridge Engineering, Southwest Jiaotong University) ;
  • Kong, Derui (Department of Bridge Engineering, Southwest Jiaotong University)
  • Received : 2022.05.26
  • Accepted : 2022.10.20
  • Published : 2022.10.10

Abstract

Due to the complexity of the structure and the limits of classical SEA, a combined SEA approach is employed, with angle-dependent SEA in the low- and mid-frequency ranges and advanced SEA (ASEA) considering indirect coupling in the high-frequency range. As an important component of the steel box girder, the dynamic response of an L-junction periodic ribbed plate is calculated first by the combined SEA and validated by the impact hammer test and finite element method (FEM). Results show that the indirect coupling due to the periodicity of stiffened plate is significant at high frequencies and may cause the error to reach 38.4 dB. Hence, the incident bending wave angle cannot be ignored in comparison to classical SEA. The combined SEA is then extended to investigate the vibration properties of the steel box girder. The bending wave transmission study is likewise carried out to gain further physical insight into indirect coupling. By comparison with FEM and classical SEA, this approach yields good accuracy for calculating the dynamic responses of the steel box girder made of periodic ribbed plates in a wide frequency range. Furthermore, the influences of some important parameters are discussed, and suggestions for vibration and noise control are provided.

Keywords

Acknowledgement

The research described in this paper was financially supported by the National Natural Science Foundation of China [grant Nos. 51778534 and 51978580].

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