Effects of additives on water permeability and chloride diffusivity of concrete under marine tidal environment

Zhang, Yurong; Wu, Suyi; Ma, Xueqing; Fang, Lingcong; Zhang, Junzhi

doi:10.1016/j.conbuildmat.2021.126217

Cited by 17 publications

(7 citation statements)

References 42 publications

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“…Zhang [40] found that hydration increased the internal compactness and strength of concrete at the start of the dry-wet cycles. Zhang [41] found that pores were the key to determine the permeability performance of concrete, and the pores that affect the permeability performance of concrete were mainly large capillary pores (100 nm-1000 nm), but as the dry-wet cycle time increased, the proportion of pores less than 100 nm in concrete increased. Arya [42] discovered that the quantity of Cl − entering the concrete depends on the open porosity.…”

Section: Transport Properties Of CL − Under the Action Of Dry-wet Cyclesmentioning

confidence: 99%

Study on Cl− Erosion of Concrete under the Combined Effect of Fatigue Load and Wet–Dry Cycles: A Review

Zhang

Cui

et al. 2023

Applied Sciences

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The service environment of concrete in the marine environment is harsh, and demands regarding the durability of marine concrete have increased. Marine concrete in harbor and wharf areas suffers from the combined effect of fatigue load, dry–wet cycles, and Cl− erosion, which can result in spalling of the concrete surface, corrosion of the internal reinforcement, and even concrete damage. This paper reviews recent research results on the durability of concrete and reinforced concrete (RC) under the combined effect of fatigue load, dry–wet cycles, and Cl− erosion. We further assess the variation in Cl− transport properties with fatigue load, the causes behind the reduction in the carrying capacity of RC products under fatigue load, the methods of Cl− erosion on concrete under the pressures imposed by dry–wet cycles, and the damage of the protective layer of concrete due to accelerated Cl− erosion caused by the action of dry–wet cycles. Further studies are needed on the durability of concrete under the action of fatigue load, wet and dry cycles, and Cl− erosion, in addition to the testing of the durability of concrete under the combined effects of the afore-mentioned various factors.

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Section: Transport Properties Of CL − Under the Action Of Dry-wet Cyclesmentioning

confidence: 99%

Study on Cl− Erosion of Concrete under the Combined Effect of Fatigue Load and Wet–Dry Cycles: A Review

Zhang

Cui

et al. 2023

Applied Sciences

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“…To predict the value of D (chloride diffusion coefficient), 118 sets of data were selected from our previous test (which includes the exposure test in a marine environment, simulated experiments in a laboratory environment and a porosity test using mercury intrusion method) as the first group of samples, and a database was created containing 194 sets of data (including the 118 sets of data in the first group) sorted from the published literature [31][32][33][34][35][36][37][38][39] as the second group of samples. In addition, the GMM-VSG method proposed by Shen and Qian [40] is used to expand the second group by 1000 sets of data.…”

Section: Data Sourcesmentioning

confidence: 99%

“…The connection between the microstructure and the macroparameter of concrete was not clear. Therefore, in this paper, the data of concrete with fly ash, slag, silica fume and basalt fiber (some are solid waste concrete) were collected from our published paper [31][32][33][34][35][36][37][38][39] and used for ML. The Gaussian mixture model (GMM-VSG) [40] was applied to expand the number of samples, which can improve the accuracy of prediction result.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Chloride Diffusion Coefficient in Concrete Based on Machine Learning and Virtual Sample Algorithm

Zhou,

Tao,

Zhang

et al. 2023

Sustainability

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The durability degradation of reinforced concrete was mainly caused by chloride ingress. Former studies have used component parameters of concrete to predict chloride diffusion by machine learning (ML), but the relationship between microstructure and macroparameter of concrete need to be further clarified. In this study, multi-layer perceptron (MLP) and support vector machine (SVM) were used to establish the prediction model for chloride diffusion coefficient in concrete, especially for the solid waste concrete. A database of concrete pore parameters and chloride diffusion coefficients was generated by the algorithm based on the Gaussian mixture model (GMM-VSG). It is shown that both MLP and SVM could make good predictions, in which the data using the normalization preprocessing method was more suitable for the MLP model, and the data using the standardization preprocessing method was more adapted to the SVM model.

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“…After substituting the collected data [10][11][12][13][14] to construct the input and output layers, the number of nodes in the hidden layer can be calculated by the following equation [15]:…”

Section: Improved Life-365 Tm Model Based On Artificial Neural Networkmentioning

confidence: 99%

Investigation on Life Cycle Cost Analysis of Structures Based on Improved Life-365™ Model

Tao

Liang

et al. 2022

Advances in Transdisciplinary Engineering

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This paper proposes an improved Life-365™ model, which is used to life cycle cost analysis. The main content is as follows: (1) The existing Life-365™ model was improved based on artificial neural networks, and the predicted results of the improved model were in good agreement with the experimental data. (2) Adding fibres to concrete can improve the durability of the structure, but is unable to reduce the life cycle cost of structure. (3) The use of BFRP reinforcement instead of steel improves initial construction costs and reduces later maintenance costs. When the 100-year design life is reached, the life cycle cost of a BFRP reinforced fibre concrete structure is 40.61% lower than that of a reinforced concrete structure.

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Effects of additives on water permeability and chloride diffusivity of concrete under marine tidal environment

Cited by 17 publications

References 42 publications

Study on Cl− Erosion of Concrete under the Combined Effect of Fatigue Load and Wet–Dry Cycles: A Review

Study on Cl− Erosion of Concrete under the Combined Effect of Fatigue Load and Wet–Dry Cycles: A Review

Prediction of Chloride Diffusion Coefficient in Concrete Based on Machine Learning and Virtual Sample Algorithm

Investigation on Life Cycle Cost Analysis of Structures Based on Improved Life-365™ Model

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