Continuous Reinforced Concrete Rigid-Frame Bridges in China

Wang, Huili; Xie, Changling; Liu, David; Qin, Shenghui

doi:10.1061/(asce)sc.1943-5576.0000421

Cited by 25 publications

(13 citation statements)

References 15 publications

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“…Another option is to generate a dataset based on real bridge data. In the literature [20], the author evaluated 349 continuous rigid frame bridges and analyzed the design parameters. Based on these data, this article created a dataset.…”

Section: Bridge Parameters Datasetmentioning

confidence: 99%

“…Furthermore, prestressed tendons and steel bars are also ignored [21,22]. e design parameters analyzed in [20] include span, girder bottom curve parameters, bridge pier, midspan span-toheight ratio, the thickness of the bottom and top slab, and the width of the top and bottom slab. e width of the roof is slightly larger than the width of the road surface, and continuous rigid frame bridges are mostly built on highgrade highways.…”

Section: Bridge Parameters Datasetmentioning

confidence: 99%

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Prediction of Effective Width of Varying Depth Box‐Girder Bridges Using Convolutional Neural Networks

2022

Advances in Civil Engineering

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Effective flange width is widely used in bridge design to consider the effect of shear lag. The simplified formula for the effective flange width of box girder bridges of variable depth in existing codes and studies may not be conservative, and accurate methods, such as the finite element method, are time-consuming. The purpose of this research is to develop a method that uses a convolutional neural network (CNN) to predict the effective width of box girder bridges of varying depths. These models have been trained, validated, and tested on datasets generated from thousands of finite element models. The lower error in the test set indicates that the CNN model can be used to predict the effective width. In addition, the impact of different architectures is also studied. The proposed method makes real-time analysis possible and has a wide range of applications in the analysis and design of box-girder bridges at different depths.

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Section: Bridge Parameters Datasetmentioning

confidence: 99%

Section: Bridge Parameters Datasetmentioning

confidence: 99%

Prediction of Effective Width of Varying Depth Box‐Girder Bridges Using Convolutional Neural Networks

2022

Advances in Civil Engineering

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“…e finite element model is established by using ANSYS based on 18 parameters of material and geometry, listed in Table 1, as well as their ranges. ese parameters' ranges were referred to some real bridges and design practical experience [25,26]. All the 3D finite element models used SOLID185 for the concrete girder and pier.…”

Section: Dataset and Preprocessingmentioning

confidence: 99%

A Bridge Structure 3D Representation for Deep Neural Network and Its Application in Frequency Estimation

2022

Advances in Civil Engineering

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Currently, most predictions related to bridge geometry use shallow neural networks, which limit the network’s ability to fit since the input form limits the depth of the neural network. Therefore, this study proposed a new 3D representation of bridge structures. Based on the geometric parameters of the bridge structure, three 4D tensors were formed. This form of representation not only retained all geometric information but also expressed the spatial relationship of the structure. Then, this study constructed the corresponding 3D convolutional neural network and used it to estimate the frequency of the bridge. In addition, this study also developed a traditional shallow neural network for comparison. The application of 3D representation and 3D convolution could effectively reduce the prediction error. The 3D representation presented in this study could be used not only for frequency prediction but also for any prediction problems related to bridge geometry.

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“…[1][2][3][4][5][6][7]. Therefore, in addition to optimizing the design of the bridge, it is of vital importance to the accurate judgment of the state of the bridge, which can not only provide a reasonable basis for the bridge maintenance decision, but also ensure its safe operation [8][9][10][11][12][13][14]. Hinged slab bridges are widely used in medium-and small-span bridges due to their simple structure and convenient construction, with one of the biggest defects being hinge joint damage, so it is of great significance to evaluate the status of hinged slab bridges under hinge joint damage [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Reliability Evaluation of Hinged Slab Bridge Considering Hinge Joints Damage and Member Failure Credibility

Tan

Kong

Wang³

et al. 2020

Applied Sciences

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The hinged slab bridge is widely used in medium- and small-span bridges because of its simple structure and convenient construction. However, hinge joints damage is the main defect of this kind of bridge, and it is difficult to express the deterministic damage degree of hinge joints in the detection process. A system reliability evaluation method considering fuzzy detection information of hinge joints damage and member failure credibility is proposed in this paper. Firstly, the membership function is used to quantitatively express the fuzzy detection information of hinge joints, and the fuzzy variable is transformed to an equivalent random variable. Secondly, the functional relationship between the transverse distribution coefficient and hinge joints damage is constructed by the modified hinge-jointed plate method and response surface method, and the reliability of the member considering the fuzzy detection information of hinge joints damage is calculated by the first-order second-moment method (FOSM). Then, the failure credibility is introduced to represent the different possibilities of system failure caused by member failure, and a system reliability assessment method of different failure criteria considering member failure credibility is established based on copula theory. Finally, the applicability of the proposed method is verified by taking the reinforced concrete hinged slab bridge as a numerical example.

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Continuous Reinforced Concrete Rigid-Frame Bridges in China

Cited by 25 publications

References 15 publications

Prediction of Effective Width of Varying Depth Box‐Girder Bridges Using Convolutional Neural Networks

Prediction of Effective Width of Varying Depth Box‐Girder Bridges Using Convolutional Neural Networks

A Bridge Structure 3D Representation for Deep Neural Network and Its Application in Frequency Estimation

Reliability Evaluation of Hinged Slab Bridge Considering Hinge Joints Damage and Member Failure Credibility

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