In-situ testing and model updating of a long-span cable-stayed railway bridge with hybrid girders subjected to a running train

Gou, Hongye; Qin, Shiqiang; Zheng, Xiaogang; Pipinato, Alessio; Bao, Yi

doi:10.1016/j.engstruct.2021.113823

Cited by 19 publications

(5 citation statements)

References 39 publications

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“…The iterative calculation of nonlinear equations is involved in the model updating, and the computational workload is considerably large. To improve the computational efficiency, based on sensitivity analysis [13], the nonlinear equations are linearized for the iterative calculation to accelerate the convergence, or artificial intelligence algorithms [14,15] are used to compute the solution of the optimization equation. This method is suitable for complex large-scale structures and has a wider applicable range, but the computational workload is still significant.…”

Section: Introductionmentioning

confidence: 99%

High Precision Identification Method of Mass and Stiffness Matrix for Shear-Type Frame Test Model

2023

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In the direct method of identifying the physical parameters of the shear-type frame structures through the frequencies and modes from the experimental modal analysis (EMA), the accuracy of the lumped mass depends on the initial mass, while the identified mass matrix and stiffness matrix are prone to generate some matrix elements without any physical meaning. In this paper, based on the natural frequencies and modes obtained from the EMA, an iterative constrained optimization solution for correcting mass matrix and a least squares solution for the lateral stiffness are proposed. The method takes the total mass of the test model as the constraint condition and develops an iterative correction method for the lumped mass, which is independent of the initial lumped mass. When the measured modes are exact, the iterative solution converges to the exact solution. On this basis, the least squares calculation equation of the lateral stiffness is established according to the natural frequencies and modes. Taking the numerical model of a 3-story steel frame structure as an example, the influence of errors of measured modes on the identification accuracy is investigated. Then, a 2-story steel frame test model is used to identify the mass matrix and stiffness matrix under three different counterweights. Numerical and experimental results show that the proposed method has good accuracy and stability, and the identified mass matrix and stiffness matrix have clear physical significance.

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Section: Introductionmentioning

confidence: 99%

High Precision Identification Method of Mass and Stiffness Matrix for Shear-Type Frame Test Model

2023

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“…In the research on the dynamic response of ballastless tracks on bridges, Guo et al [21] studied the dynamic performance of tracks on long-span cable-stayed bridges under different train loads. Wang et al [22] presented a random dynamic analysis of a high-speed train moving over a long-span cable-stayed bridge.…”

Section: Introductionmentioning

confidence: 99%

Research on the Influence of Geotextile and Elastic Cushion on the Static Performance of Ballastless Track on Long-Span Cable-Stayed Bridges

Cai,

Chen,

Wang

et al. 2023

Applied Sciences

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The elastic cushion is mostly used between the layers of ballastless tracks laid on a large-span cable-stayed bridge with a main span of more than 300 m. The rubber material is easy to harden and age, the geotextile has good acid-alkali resistance and antiwear performance, and the feasibility of geotextile application on the large-span cable-stayed bridge can be explored. The coupling model of a long-span cable-stayed bridge and the ballastless track was established to analyze the longitudinal mechanical characteristics of the seamless line, the deformation of the track structure, and the separation of the track plate and base plate under different loads. The results show that the application of geotextile or elastic cushion has little effect on the longitudinal mechanical properties of seamless lines. Compared to the elastic cushion, laying the geotextile increases the longitudinal stress of the slab by 0.13 Mpa, 0.025 Mpa, and 0.06 Mpa under different types of loads. The strength calculation of the seamless track is within the safety range. Laying elastic cushion can restrain the generation of separation under vertical loads, but there is no effect laying elastic cushion under temperature loads and braking loads, and the height of separation was less than 0.4 mm. The stress and deformation of the ballastless track do not exceed the standard when applying geotextile; it is feasible to apply geotextile on ballastless tracks on a large-span cable-stayed bridge. The next step is to study the vehicle–bridge–track dynamic response when elastic cushion and geotextile are laid.

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“…Among the models mentioned above, the neural network model has outstanding learning ability and widespread applicability [30], and it can directly update the structural parameters without solving the complex sensitivity matrix; in addition, it has a powerful nonlinear mapping function and strong robustness, which can fit the implicit function relationship between structural parameters and structural responses and better deal with data noise and ensure that the fitting results are not distorted [31,32]. Wavelet neural network (WNN) [33] is a product of the perfect combination of wavelet analysis theory and neural network theory.…”

Section: Introductionmentioning

confidence: 99%

Bridge Model Updating Based on Wavelet Neural Network and Wind-Driven Optimization

He,

Zeng,

Zhou

et al. 2023

Sensors

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Aging, corrosive environments, and inadequate maintenance may result in performance deterioration of civil infrastructures, and finite element model updating is a commonly employed structural health monitoring procedure in civil engineering to reflect the current situation and to ensure the safety and serviceability of structures. Using the finite element model updating process to obtain the relationship between the structural responses and updating parameters, this paper proposes a method of using the wavelet neural network (WNN) as the surrogate model combined with the wind-driven optimization (WDO) algorithm to update the structural finite element model. The method was applied to finite element model updating of a continuous beam structure of three equal spans to verify its feasibility, the results show that the WNN can reflect the nonlinear relationship between structural responses and the parameters and has an outstanding simulation performance; the WDO has an excellent ability for optimization and can effectively improve the efficiency of model updating. Finally, the method was applied to update a real bridge model, and the results show that the finite element model update based on WDO and WNN is applicable to the updating of a multi-parameter bridge model, which has practical significance in engineering and high efficiency in finite element model updating. The differences between the updated values and measured values are all within the range of 5%, while the maximum difference was reduced from −10.9% to −3.6%. The proposed finite element model updating method is applicable and practical for multi-parameter bridge model updating and has the advantages of high updating efficiency, reliability, and practical significance.

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In-situ testing and model updating of a long-span cable-stayed railway bridge with hybrid girders subjected to a running train

Cited by 19 publications

References 39 publications

High Precision Identification Method of Mass and Stiffness Matrix for Shear-Type Frame Test Model

High Precision Identification Method of Mass and Stiffness Matrix for Shear-Type Frame Test Model

Research on the Influence of Geotextile and Elastic Cushion on the Static Performance of Ballastless Track on Long-Span Cable-Stayed Bridges

Bridge Model Updating Based on Wavelet Neural Network and Wind-Driven Optimization

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