Service Life Prediction of Reinforced Concrete in a Sea-Crossing Railway Bridge in Jiaozhou Bay: A Case Study

Li, Zhe; Jin, Zuquan; Zhao, Tong; Wang, Penggang; Zhao, Lihua; Xiong, Chuansheng; Kang, Youngjong

doi:10.3390/app9173570

Cited by 7 publications

(5 citation statements)

References 34 publications

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“…Li et al. (2019) developed a revised model for predicting the service life of concrete structures based on the DuraCrete model.…”

Section: Service Life Prediction Modelsmentioning

confidence: 99%

“…It can also be stated that more research into the influence of reinforcement corrosion on the structural response of concrete structures is required (Qing Li, 2004). Li et al (2019) developed a revised model for predicting the service life of concrete structures based on the DuraCrete model. DuraCrete model is based on probabilistic performance of concrete structures, which offered principles for durability design and revision.…”

Section: Service Life Prediction Modelsmentioning

confidence: 99%

“…Effects of material qualities, environment, concrete aging and concrete curing are considered by DuraCrete model. The model developed by Li et al (2019) was revised by adding two parameters, namely the loading factor and temperature factor, as suggested by DuraCrete. They concluded that additional parameters had an impact on the service life prediction.…”

Section: Ijsi 143mentioning

confidence: 99%

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Service life prediction of reinforced concrete structures subjected to corrosion: a comparative study

Yadeta,

Siriwardane,

Mohammed

2023

IJSI

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PurposeReliable estimations of the extent of corrosion and time required to reach specific safety limits are crucial for assessing the reliability of aging reinforced concrete (RC) bridges. Engineers and decision-makers can use these figures to plan suitable inspection and maintenance operations.Design/methodology/approachAnalytical, empirical and numerical approaches for estimating the service life of corroded RC structures were presented and compared. The concrete cover cracking times, which were predicted by the previously proposed analytical models, were compared with the experimentally obtained cracking times to identify the model/s for RC bridges. The shortcomings and limitations of the existing models are discussed.FindingsThe empirical models typically depend on the rate of corrosion, diameter of steel reinforcement and concrete cover depth and based on basic mathematical formula. In contrast, the analytical and numerical models contain the strength and stiffness properties of concrete as well as type of corrosion products and incorporate more complex mechanical factors. Four existing analytical models were analyzed and their performance was evaluated against existing experimental data in literature. All the considered analytical models were assumed thick-walled cylinder models. The maximum difference between observed cracking time from different test data and calculated cracking time using the developed models is 36.5%. The cracking times extend with increase in concrete cover and decrease with corrosion current density. The development of service life prediction models that considers factors such as heterogeneity of concrete, non-uniform corrosion along rebar, rust production rate and a more accurate representation of the corrosion accommodating region are some of the areas for further research.Research limitations/implicationsOutcome of this paper partially bridge the gap between theory and practice, as it is the basis to estimate the serviceability of corrosion-affected RC structures and to propose maintenance and repair strategies for the structures. For structural design and evaluation, the crack-width criterion is the greatest practical importance, and structural engineers, operators and asset managers should pay close attention to it. Additionally, repair costs for corrosion-induced serviceability failures, particularly concrete cracking and spalling, are significantly higher than those for strength failures. Therefore, to optimize the maintenance cost of RC structures, it is essential to precisely forecast the serviceability of corrosion-affected concrete structures. The lifespan of RC structures may be extended by timely repairs. This helps stake holders to manage the resources.Practical implicationsIn order to improve modeling of corrosion-induced cracking, important areas for future research were identified. Heterogeneity properties of concrete, concept of porous zone (accommodation effect of pores should be quantified), actual corrosion morphology (non-uniform corrosion along the length of rebar), interaction between sustain load and corrosions were not considered in existing models. Therefore, this work suggested for further researches should consider them as input and develop models which have best prediction capacity.Social implicationsThis work has positive impact on society and will not affect the quality of life. Predicting service life of structures is necessary for maintenance and repair strategy plans. Optimizing maintenance strategy is used to extend asset life, reduce asset failures, minimize repair cost, and improve health and safety for society.Originality/valueThe degree of accuracy and applicability of the existing service life prediction models used for RC were assessed by comparing the predicted cracking times with the experimentally obtained times reported in the literature. The shortcomings of the models were identified and areas where further research is required are recommended.

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“…Li et al. (2019) developed a revised model for predicting the service life of concrete structures based on the DuraCrete model.…”

Section: Service Life Prediction Modelsmentioning

confidence: 99%

Section: Service Life Prediction Modelsmentioning

confidence: 99%

Section: Ijsi 143mentioning

confidence: 99%

See 1 more Smart Citation

Service life prediction of reinforced concrete structures subjected to corrosion: a comparative study

Yadeta,

Siriwardane,

Mohammed

2023

IJSI

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“…where N represents the number of samples and the function I(x i ) is: Taking reference on the field research results of Li et al [28], for splashing, tidal and submerged zones the mean chloride diffusion coefficients of concrete was 2.32 × 10 −12 m 2 /s and the mean concrete cover thickness was 36 mm whereas the mean chloride diffusion coefficients and concrete cover thickness were 4.38 × 10 −12 m 2 /s and 52 mm for atmospheric zone. And water/cement ratio used in marine environment is 0.33.…”

Section: Basic Modelmentioning

confidence: 99%

The Effect of Shape on Chloride Penetration of Circular Reinforcement Concrete Columns and Its Durability Design

Yin

Pan

2020

Applied Sciences

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The reinforced concrete (RC) circular element is usually simplified as slab one on the issue of chloride diffusion simulation, without considering the effect of the geometrical shape. In the paper, a modified slab diffusion model is proposed for circular section. A formulation for estimating the error caused by neglecting the effect of shape on chloride diffusion is derived. The formulation demonstrates that radius significantly affect the error. When shape is neglected, the effects of model parameters, including the diffusion coefficient, radius, cover concrete thickness and age factor, on the corrosion initiation time are investigated. The result shows the radius has a slight effect on calculating the corrosion initiation time compared with other model parameters. Furthermore, the influence of shape on estimating on reliability index for different service time is also discussed. A guideline is proposed for properly using the modified slab diffusion model instead of the original one to predict service life. Finally, the impact of the shape of the RC circular column on the durability design against chloride corrosion is studied. The design result when the column is simplified as a slab element indicates a lower required minimum concrete cover thickness. The minimum thickness should be improved by 5 mm as a conservative choice based on the result of the slab element.

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“…[13][14][15][16][17][18][19][20][21][22] In addition, a couple of researchers have examined reliability analysis of RC structures under induced defects, corrosion, or their combinations. [23][24][25][26][27][28][29][30][31] Further, a similar methodology was successfully used in the case of creep and shrinkage in a few studies. [32][33][34][35][36][37][38] Due to limited and inadequate research on the combined effect of creep, cracking, shrinkage and temperature, in order to determine the safety of RC beams, this research aims to incorporate these effects in a numerical and experimental framework.…”

Section: Introductionmentioning

confidence: 99%

Reliability of reinforced concrete beams in serviceability limit state via microprestress-solidification theory, a structural health monitoring strategy

Ghabdian

Aval

Noori

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part L:

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An important and critical area within the broad domain of structural health monitoring, as related to reinforced civil and mechanical structures, is the assessment of creep, shrinkage, and high-temperature effects on reliability and serviceability. Unfortunately, the monitoring and impact of these inherent mechanical characteristics and behaviors, and subsequent impact on serviceability, have rarely been considered in the literature in structural health monitoring. In this paper, the microprestress-solidification creep theory for beams is generalized for the simultaneous effect of linear/nonlinear creep, shrinkage, and high temperature in a reliability framework. This study conducts a systematic time-dependent procedure for the reliability analysis of structures using a powerful nanoscale method. It must be noted that this paper aims to extend the previously developed microprestress-solidification method in a health monitoring reliability-based framework with a close look at a nonlinear creep, parameters affecting creep, and long-time high temperature. A finite element approach is proposed where creep, shrinkage, temperature, and cracking are considered using strain splitting theory. First, the model performance was evaluated by comparing the results with the experimental test available in the literature in the case of creep and shrinkage. Then, the simultaneous effect of creep, shrinkage, and temperature was compared with experimental results obtained by the authors. Reliability analysis was applied to reinforced concrete beams subjected to sustained gravity loading and uniform temperature history in order to calculate exceedance probability in the serviceability limit state. It was found that the exceedance probability of reinforced concrete beams was dependent on the shear span-to-depth ratio. In the serviceability limit state, exceedance probabilities of 0.012 and 0.157 were calculated for the span-to-depth ratios of 1 and 5, respectively. In addition, it was shown that temperature plays an important role in the reliability of reinforced concrete beams. A 4.27-fold increase was observed in the case of moderate to high temperature. Finally, for three different load levels of 40%, 70%, and 80%, the exceedance probabilities were 0.156, 0.328, and 0.527, respectively, suggesting that load level is another key parameter affecting the reliability of reinforced concrete beams. It is thus concluded these fundamental phenomenological studies should be further considered as part of the broad field of structural health monitoring.

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Service Life Prediction of Reinforced Concrete in a Sea-Crossing Railway Bridge in Jiaozhou Bay: A Case Study

Cited by 7 publications

References 34 publications

Service life prediction of reinforced concrete structures subjected to corrosion: a comparative study

Service life prediction of reinforced concrete structures subjected to corrosion: a comparative study

The Effect of Shape on Chloride Penetration of Circular Reinforcement Concrete Columns and Its Durability Design

Reliability of reinforced concrete beams in serviceability limit state via microprestress-solidification theory, a structural health monitoring strategy

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