Effects of load damage on moisture transport and relative humidity response in concrete

Min, Hongguang; Zhang, Weiping; Gu, Xianglin

doi:10.1016/j.conbuildmat.2018.02.203

Cited by 21 publications

(11 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Details of specimens and their chloride content can be found in Table 1. e testing method using the environmental chamber to study the effects of temperature and relative humidity has also been used by many researchers [28][29][30][31][32][33]. In this study, GPR data were collected inside an environmental growth chamber to account for the effects of environmental conditions on GPR reflection amplitude.…”

Section: Specimen Fabricationmentioning

confidence: 99%

Predicting GPR Signals from Concrete Structures Using Artificial Intelligence‐Based Method

Zatar

Nguyen

2021

Advances in Civil Engineering

View full text Add to dashboard Cite

This paper presents the application of an Artificial Intelligence-based method in analyzing the effects of environmental conditions, chloride contamination in concrete, and surface corrosion of rebars on the amplitude of Ground Penetrating Radar (GPR) signals. Six reinforced concrete slabs with different chloride contamination mixtures were fabricated and tested. GPR data were collected under various temperature and ambient humidity combinations. A total of 288 rebar picks were used for training, validation, and testing the proposed Artificial Neural Network (ANN) model. Multiple ANN model configurations with a variation in learning algorithms and the number of nodes in the hidden layer were explored to obtain the optimal model for the nondestructive data. It is shown that the “trainlm” learning algorithm produced the high accuracy prediction of the reflection amplitude of GPR signals. The sensitivity analysis was also conducted with the ANN model to investigate the effects of the input on the output parameters. Results from the sensitivity analysis revealed that the GPR reflection amplitudes were more sensitive to the changes of temperature parameter (TEM) and chloride contamination level (CCL), while they were less sensitive to the variation of ambient relative humidity (ARH) and rust condition on the rebar surface (CSR).

show abstract

Section: Specimen Fabricationmentioning

confidence: 99%

Predicting GPR Signals from Concrete Structures Using Artificial Intelligence‐Based Method

Zatar

Nguyen

2021

Advances in Civil Engineering

View full text Add to dashboard Cite

show abstract

“…Existing research results indicate that there is a positive correlation between the pore water pressure and vehicle speed based on the fluid dynamics theory. However, most of the research could not directly reflect the pore water flow characteristics in pavement [15][16][17][18][19][20][21]. To investigate the flow characteristics of pore water directly, the three-dimensional (3D) reconstruction of asphalt pavement with actual pore structure becomes feasible and important in pavement research field.…”

Section: Introductionmentioning

confidence: 99%

Evaluation on Distribution Characteristics of Pore Water Pressure within Saturated Pavement Structure Based on the Proposed Tire-Fluid-Pavement Coupling Model

Zheng

Huang

et al. 2022

Advances in Materials Science and Engineering

View full text Add to dashboard Cite

To investigate the flow characteristics of pore water in asphalt pavement and the variation law of the pore water pressure under vehicle loading, a novel method based on BA network and quartet structure generation set method was proposed to reconstruct the three-dimensional (3D) pavement model with pores. The permeability coefficient and the gradation curve were adopted to evaluate the reliability and stability of the random growth pavement model. Then, the tire-fluid-pavement coupling model was established with FLUENT 3D based on the fluid Mie–Gruneisen state equation. According to the built fluid-solid coupling model, the pressure-velocity coupled finite volume algorithm was applied to study the distribution of the pore water pressure in asphalt pavement. Results show that the pore water pressure in asphalt pavement decays periodically with time under vehicle loading. For different types of asphalt pavement, the pore water pressure in open-graded friction course (OGFC) pavement is the smallest during the whole process. Moreover, the peak values of the pore water pressure decrease in the order of asphalt concrete (AC) pavement, stone mastic asphalt (SMA) pavement, and OGFC pavement. The maximum negative value of the pore water pressure is generally less than 0.3 times the maximum positive values. As for saturated pavement pores, the pore water pressure is hardly affected by the water film thickness. The positive peak value of the pore water pressure increases on an approximate parabolic curve as the vehicle speed improves gradually, while the negative one remains largely unchanged. The results are expected to help reduce tire hydroplaning risk and provide guidance for the selection of asphalt mixtures of drainage asphalt pavement.

show abstract

“…In the rainy season, the water in the asphalt pavement repeatedly scours and squeezes the internal structure of the asphalt pavement under the load of the vehicle. The frequent dynamic water scouring and pumping in the pore induces the physical separation of aggregate and asphalt binder film, which causes the loss of strength and stiffness of asphalt mixture [4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Measurement and Evaluation for Interbedded Pore Water Pressure of Saturated Asphalt Pavement under Vehicle Loading

Chen

Wang²,

Guo

et al. 2020

Applied Sciences

View full text Add to dashboard Cite

Dynamic water scouring damage is the main cause of pavement structure damage, and the main reason for dynamic water scouring damage is the rapid change of pore water pressure caused by vehicle load. Numerical simulation is a commonly used pore water pressure test technology, but its accuracy is not high, and the test data are very different to actual values. In this study, a pore water pressure test method is designed, which has the advantages of less disturbance to the pavement structure and the measured data are closer to the true pore water pressure value of the pavement structure. Measurement data show that the pore water pressure gradually increases with increasing vehicle speed, and the pore water pressure response time becomes shorter. The pore water pressure response time is greater than vehicle loading time. Moreover, the phenomenon of periodic decay of pore water pressure with time is analyzed based on hydrodynamic water hammer theory. The empirical formula of maximum positive pressure with speed and the empirical formula of Abp at different speeds were obtained.

show abstract

Effects of load damage on moisture transport and relative humidity response in concrete

Cited by 21 publications

References 32 publications

Predicting GPR Signals from Concrete Structures Using Artificial Intelligence‐Based Method

Predicting GPR Signals from Concrete Structures Using Artificial Intelligence‐Based Method

Evaluation on Distribution Characteristics of Pore Water Pressure within Saturated Pavement Structure Based on the Proposed Tire-Fluid-Pavement Coupling Model

Measurement and Evaluation for Interbedded Pore Water Pressure of Saturated Asphalt Pavement under Vehicle Loading

Contact Info

Product

Resources

About