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High precision prediction of bridge coupled extreme stresses with the fusion of wavelet decomposition and BDLTM-GRU mixture model
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Du YANG1, Xueping FAN1, 2, Yuefei LIU1, 2
Journal of Vibration Engineering | 2025, 38(5) : 1026 - 1035
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Journal of Vibration Engineering | 2025, 38(5): 1026-1035
High precision prediction of bridge coupled extreme stresses with the fusion of wavelet decomposition and BDLTM-GRU mixture model
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Du YANG1, Xueping FAN1, 2, Yuefei LIU1, 2
Affiliations
  • 1.School of Civil Engineering and Mechanics，Lanzhou University，Lanzhou 730000，China
  • 2.Key Laboratory of Mechanics on Disaster and Environment in Western China of the Ministry of Education，Lanzhou University，Lanzhou 730000，China
Published: 2025-05-10 doi: 10.16385/j.cnki.issn.1004-4523.2025.05.014
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To achieve high-precision prediction of bridge-coupled extreme stresses, the wavelet multi-resolution analysis method is adopted to decouple the coupled extreme stresses. The decoupled low-frequency data is taken as the trend item information, where the high-frequency data is considered as the vehicle load effect information. The trend item, after subtracting its mean, is the temperature load effect information. A bivariate Bayesian dynamic linear trend model (BDLTM), which introduces a time-varying trend term, is built to predict and analyze low-frequency extreme stress. GRU neural network model is provided to predict and analyze high-frequency extreme stresses. The dynamic coupled extreme stresses are predicted. The monitoring coupled data from Tianjin Fumin Bridge is provided to illustrate the feasibility and application of the proposed BDLTM-GRU model, the accuracy of which is compared with the single BDLTM model and single GRU model for verifying the high precision of the BDLTM-GRU model.

coupled extreme stresses  /  wavelet multi-resolution analysis method  /  BDLTM-GRU model  /  BDLTM  /  GRU neural network
Du YANG, Xueping FAN, Yuefei LIU. High precision prediction of bridge coupled extreme stresses with the fusion of wavelet decomposition and BDLTM-GRU mixture model[J]. Journal of Vibration Engineering, 2025 , 38 (5) : 1026 -1035 . DOI: 10.16385/j.cnki.issn.1004-4523.2025.05.014
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Year 2025 volume 38 Issue 5
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Article Info
doi: 10.16385/j.cnki.issn.1004-4523.2025.05.014
  • Receive Date：2023-07-14
  • Online Date：2026-02-12
  • Published：2025-05-10
Article Data
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History
  • Received：2023-07-14
  • Revised：2023-08-22
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Affiliations
    1.School of Civil Engineering and Mechanics，Lanzhou University，Lanzhou 730000，China
    2.Key Laboratory of Mechanics on Disaster and Environment in Western China of the Ministry of Education，Lanzhou University，Lanzhou 730000，China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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