Probabilistic fatigue life prediction for concrete bridges using Bayesian inference

Yuan, Mei; Liu, Yun; Yan, Di; Liu, Yongming

doi:10.1177/1369433218799545

Cited by 11 publications

(6 citation statements)

References 44 publications

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“…e more aggregates, the larger the area of the interface transition zone between the aggregate and the slurry, and since the porosity of the slurry is large, the permeability of the concrete is improved. Adding mineral binds, such as fly ash, slag, and silica ash, will greatly improve the structure of the hole and the interface transition zone so that the permeability of the concrete is greatly reduced [7]. In addition, construction and maintenance conditions directly affect the quality of concrete in the surface area, and the region is a key area affecting durability.…”

Section: Analysis Of Factors Affecting Durability Parameters Of Concrete Structurementioning

confidence: 99%

Durability Prediction Method of Concrete Soil Based on Deep Belief Network

Xiao

Zhu

2022

Advances in Civil Engineering

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To truly reflect the durability characteristics of concrete subjected to multiple factors under complex environmental conditions, it is necessary to discuss the prediction of its durability. In response to the problem of durability prediction of traditional concrete structures, there is a low prediction accuracy, and the predicted time is long, and a concrete structural durability prediction method based on the deep belief network is proposed. The influencing factors of the concrete structural durability parameters are analyzed by two major categories of concrete material and external environmental conditions, and the transmission of chloride ions in the concrete structure is described. According to the disconnection of the steel bars, the durability of the concrete structure is started, and the determination is determined. The concrete structural antiflexural strength, using a deep belief network training concrete structural antiflexural strength judgment data, constructs a concrete structural durability predictive model and completes the durability prediction of the concrete structure based on the deep belief network. The proposed prediction method based on the deep belief network has a high prediction accuracy of 98% for the durability of concrete column structures. The simulation results show that the concrete structural durability’s prediction accuracy is high and the prediction time is short. The prediction of concrete durability discussed here has important guiding significance for the improvement of concrete durability test methods and the improvement of concrete durability evaluation standards in China.

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Section: Analysis Of Factors Affecting Durability Parameters Of Concrete Structurementioning

confidence: 99%

Durability Prediction Method of Concrete Soil Based on Deep Belief Network

Xiao

Zhu

2022

Advances in Civil Engineering

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“…ϕ 22 = 0.6, ϕ 12 = 0, ϕ 23 = 0.6, ϕ 13 = 0, ϕ 24 = 0.6, and ϕ 14 = 0 can be determined. Incorporate the mean and SD of Figure 14 into Equation (22) and MATLAB plots the failure graphs of S(t 1 ), S(t 2 ), S(t 3 ) and S(t 4 ), as shown in Figure 15 The reliability functions of steel bar corrosion, concrete crack development and quality loss, and organic coating degradation are shown in Figure 15a-d. In Figure 15a, it can be seen that the initial reliability of ω 1 was 0.94, indicating that the coated steel bars are corroded at the beginning because the salt solution passes through the coating and corrodes them.…”

Section: Function Expressionmentioning

confidence: 99%

“…This analysis provides an assessment that reduces the number of inspection techniques necessary and the time interval between inspections, providing not only the best, but also the most effective solution. Yuan [22] proposed a probabilistic fatigue life prediction framework for concrete bridges considering the stress history from the construction phase to the operational phase. The proposed fatigue analysis framework combines the material life prediction model based on fatigue crack propagation with the nonlinear structure analysis method.…”

Section: Introductionmentioning

confidence: 99%

Durability of organic coated reinforced magnesium oxychloride cement concrete

Wang

Chen

et al. 2020

Structural Concrete

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Zinc-rich coating as a sacrificial anode provides cathodic protection for steel bars, so it can provide protection only for the steel bars for a certain period of time, and fundamentally cannot solve the problem of steel bar corrosion in magnesium oxychloride cement concrete (MOCC). However, the organic coating protects the steel by its own shielding. Therefore, organic coated reinforced MOCC (ORMOCC) is more adaptable in western saline soil and salt lake areas.ORMOCC's durability degradation process includes four aspects, but its durability degradation model under those four factors has not been studied. Therefore, combined with the environment of western salt lakes and saline soil, the solution immersion test was performed on ORMOCC, and the durability degradation of steel bars was studied with electrochemical tests. The degradation durability of organic coatings was studied by Fourier transform infrared spectroscopy. Crack formation and the mass loss of MOCC were studied by ultrasonic and quality tests, taking the four corresponding parameters as degradation indicators. Based on the four-dimensional Copula function, the degradation model of ORMOCC under four degradation factors was established. The results showed that the four-dimensional Copula function can describe the durability degradation process of ORMOCC under the influence of the four factors well, and it reaches the damage state at approximately 12,450 days.

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“…Theoretical simulation of bottom plate failure during prestressing is complex. Accurate and efficient modelling of prestressing effect as well as nonlinear failure process analysis is desirable [39,40]. Cracking is common in reinforced concrete (RC) bridges and other structures, but is not necessarily harmful.…”

Section: Introductionmentioning

confidence: 99%

Experimental and finite element study of one span concrete bridge bent designed by the requirements of the 1970s, under gravity and lateral load

Bahrani

Nooralizadeh

Sharify

et al. 2022

NMCE

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In recent years, there has been a growing seismic demand for existing bridges and the final redesign of bridges, especially after a major earthquake One method to strengthen concrete frames on bridges is to use steel sheets or profiles to use the confining force. During this study, a sample at 30% scale under gravity and lateral cycle loading was examined within the laboratory. A finite element model is additionally used to compare the behavior of laboratory samples. The laboratory sample was a model of a typical bridge in iran that was generally designed with deficient detailing requirements in agreement with the typical regulations of the 1970s. A finite element analysis set was used to evaluate various parameters in improving the behavior of the laboratory sample. The finite element model correctly predicted the weakness of the model. Subsequently, a reinforced specimen was investigated by increasing the prestressing force within the concrete beam and the thickness of the frp sheets utilized in the bridge pier by the finite element method. The results show the energy absorbed within the hysteresis curves improved the propagation of the failure. The result also showed that a 100% increase in the prestressing load caused a 67% increase in resistance .

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Probabilistic fatigue life prediction for concrete bridges using Bayesian inference

Cited by 11 publications

References 44 publications

Durability Prediction Method of Concrete Soil Based on Deep Belief Network

Durability Prediction Method of Concrete Soil Based on Deep Belief Network

Durability of organic coated reinforced magnesium oxychloride cement concrete

Experimental and finite element study of one span concrete bridge bent designed by the requirements of the 1970s, under gravity and lateral load

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