A Comprehensive Life-Cycle Cost Analysis Approach Developed for Steel Bridge Deck Pavement Schemes

Liu, Changbo; Qian, Zhendong; Yang, Lu; Ren, Haisheng

doi:10.3390/coatings11050565

Cited by 10 publications

(8 citation statements)

References 26 publications

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“…Under the influence of various factors such as vehicle load and climatic environment, steel bridge decks will experience different degrees of defects. Cracking, rutting, and other types of fatigue damage, such as fatigue cracks, are the most typical steel bridge deck defects [2,3]. If fatigue cracks are not treated in time, they will lead to water and other chemical reagents and steel bridge panel contact [4].…”

Section: Introductionmentioning

confidence: 99%

Ensemble-Learning-Based Prediction of Steel Bridge Deck Defect Condition

Song

2022

Applied Sciences

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This study developed an ensemble-learning-based bridge deck defect condition prediction model to help bridge managers make more rational and informed steel bridge deck maintenance decisions. Using the latest data from the NBI database for 2021, this study first used ADASYN to solve imbalance problems in the data, then built six ensemble learning models (RandomForest, ExtraTree, AdaBoost, GBDT, XGBoost, and LightGBM) and used a grid search method to determine the hyperparameters of the models. The optimal model was finally analyzed using the interpretable machine learning framework, SHAP. The results show that the optimal model is XGBoost, with an accuracy of 0.9495, an AUC of 0.9026, and an F1-Score of 0.9740. The most important factor affecting the condition of steel bridge deck defects is the condition of the bridge’s superstructure. In contrast, the condition of the bridge substructure and the year of bridge construction are relatively minor factors.

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Section: Introductionmentioning

confidence: 99%

Ensemble-Learning-Based Prediction of Steel Bridge Deck Defect Condition

Song

2022

Applied Sciences

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“…The asphalt concrete pavement layer is laid directly on the steel bridge deck. Due to the flexibility of the steel deck, the force and deformation of the pavement layer become more complex under various factors such as vehicle load and the climatic environment [3][4][5]. In recent years, China's traffic volume has continued to grow along with an increase in heavy traffic.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Performance Prediction Model of Steel Bridge Deck Pavement System Based on XGBoost

Wei,

Ji,

et al. 2023

Applied Sciences

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Steel bridges are widely used in bridge engineering. In the structural design of steel bridge deck pavement systems, engineers focus on obtaining mechanical properties by calculating design parameters and are keen to establish a quick and accurate solution method. Because of the complex knowledge system involved in the numerical calculation method, it is difficult for the general engineering designer to master it. Researchers have started using artificial intelligence algorithms to solve problems in civil engineering. This study developed an XGBoost-based mechanical performance prediction model for steel bridge deck pavement systems. First, numerical simulation tests are conducted at unfavorable load locations using a finite element model to establish a dataset. Then, an XGBoost model is built using this dataset, and its parameters are optimized and compared with traditional machine learning models. Finally, an explanatory analysis of the model is performed using SHAP, an interpretable machine learning framework. The results indicate that the developed XGBoost model accurately predicts the mechanical properties of steel bridge deck pavement systems.

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“…This leads to rust and corrosion of the steel bridge panels, which in turn affects the bond strength between the paving layers and leads to delamination of the steel bridge deck paving layers [19][20][21]. Furthermore, under the action of traffic loads, this can lead to the pavement being pushed and cracked, as shown in Figure 1 which greatly shortens the service life of the steel deck pavement [22][23][24][25][26]. GA the actual construction and subsequent opening to traffic, it is difficult to ensure that the steel bridge deck paving layer is completely watertight due to construction uniformity, joints, and bridge deck paving cracking.…”

Section: Introductionmentioning

confidence: 99%

“…This leads to rust and corrosion of the steel bridge panels, which in turn affects the bond strength between the paving layers and leads to delamination of the steel bridge deck paving layers [19][20][21]. Furthermore, under the action of traffic loads, this can lead to the pavement being pushed and cracked, as shown in Figure 1 which greatly shortens the service life of the steel deck pavement [22][23][24][25][26]. Olard et al, developed a five-point bending fatigue test for the performance design of wear layer of orthotropic steel bridge, and improved the service life of pavement layer through the performance design of mixture [27]; Wang et al, established a three-parameter fatigue equation model using the finite element mechanics method and four-point bending fatigue test and proposed to use the fatigue limit as the control parameter in the design of epoxy asphalt concrete.…”

Section: Introductionmentioning

confidence: 99%

Study of Internal Drainage Systems for Steel Bridge Deck Pavements

Nie

Wang

Huang³

et al. 2022

Buildings

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As large span steel bridges develop rapidly, the type of steel deck paving is also diversifying. However, the current steel deck paving layer is a dense-graded mixture of both upper and lower layers. This makes it difficult for water to drain out of the dense deck when it enters the interior of the deck, and the deck is easily damaged by the traffic load. This paper aims to prolong the service life of the pavement and solve the problem that the pavement is prone to water damage under the existing pavement system. In this paper, a new steel bridge deck paving system is formed by developing a new type of waterproofing binder layer material and developing an open-graded paving layer underlayment. Through indoor tests and finite element software analysis, the effect of the environment on the pull-out strength of the waterproofing binder layer material under different permaculture conditions is investigated; a suitable void ratio control range for the paving layer is explored through paving layer seepage analysis and indoor tests. The study revealed that the new epoxy resin waterproofing bonding layer was able to maintain a large pull-out strength value in a 60 °C water bath for 2 weeks. The paving with void ratios of 18, 20, and 22% were all able to drain 50% of the water inside the paving within 2 h, with excellent drainage capacity. Based on the modeling analysis and indoor test results, the target void ratio of the asphalt mix under the pavement is recommended to be controlled at 20–22%, with a void ratio in this range to solve the problem of water entering the steel bridge deck pavement and causing pavement distress.

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A Comprehensive Life-Cycle Cost Analysis Approach Developed for Steel Bridge Deck Pavement Schemes

Cited by 10 publications

References 26 publications

Ensemble-Learning-Based Prediction of Steel Bridge Deck Defect Condition

Ensemble-Learning-Based Prediction of Steel Bridge Deck Defect Condition

Mechanical Performance Prediction Model of Steel Bridge Deck Pavement System Based on XGBoost

Study of Internal Drainage Systems for Steel Bridge Deck Pavements

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