Utilization of recycled concrete powder in modification of the dispersive soil: A potential way to improve the engineering properties

Zhao, Guo; Zhu, Zhen; Ren, Guanzhou; Ju, Peng; Ding, Shijun; Shi, Mei; Fan, Honggang

doi:10.1016/j.conbuildmat.2023.131626

Cited by 33 publications

(8 citation statements)

References 29 publications

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“…This reduction is consistent with the effect of PCE on strength. The E u ranged from 50 to 350 kJ/m 3 because the samples of recycled concrete powder stabilized the dispersive soil, and E u was directly related to the strength improvement reported by Zhao, et al [47]. As seen in Figure 9, the relationship between E50 and qu closely follows the same trend observed in the relationship between Eu and qu.…”

Section: Peak Strain Energy and Deformation Modulussupporting

confidence: 65%

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Investigation on Mechanical Parameters and Microstructure of Soil-Based Controlled Low-Strength Materials with Polycarboxylate Superplasticizer

Guo,

Chen,

et al. 2024

Applied Sciences

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This study aims to optimize the sustainable utilization of excavated soil by incorporating it exclusively as a fine aggregate and cement in the formulation of soil-based controlled low-strength materials. The polycarboxylate superplasticizer was introduced to enhance flowability. Various factors, including the cement contents, initial water contents, and curing time, were systematically analyzed for their effects on the fresh properties, mechanical parameters, transverse relaxation time distribution, pore size distribution, porosity, and corrosivity of soil-based controlled low-strength materials. The results indicate that polycarboxylate superplasticizer effectively dispersed clay minerals and cement particles, enhancing the flowability. The unconfined compressive strength increased with the rising cement content and decreased with the increasing initial water content. Additionally, the transverse relaxation time distribution curves of the soil-based controlled low-strength materials exhibited two peaks. These curves shifted to smaller transverse relaxation time values with the increasing cement content, while gradually shifting to larger transverse relaxation time values with the increasing initial water content. An increase in the cement content resulted in higher volume percentages of small and mesopores, while extra-large pores and macropores decreased. The addition of the polycarboxylate superplasticizer had minimal impact on the pore volume percentage distribution. Furthermore, porosity experienced a decline with the rise in the cement content and curing time, in contrast to a notable increase with a higher initial water content. This investigation provides valuable insights into the engineering properties and microstructural characteristics of soil-based controlled low-strength materials, offering a foundation for sustainable waste management practices in geotechnical applications.

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Section: Peak Strain Energy and Deformation Modulussupporting

confidence: 65%

Section: Peak Strain Energy and Deformation Modulusmentioning

confidence: 84%

Investigation on Mechanical Parameters and Microstructure of Soil-Based Controlled Low-Strength Materials with Polycarboxylate Superplasticizer

Guo,

Chen,

et al. 2024

Applied Sciences

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“…According to the outcomes of numerical simulation, the distribution and magnitude of Mises equivalent stress (Mises equivalent stress is a measure used to describe the strength and stress state of a material, also known as von Mises stress or Mises stress [56][57][58][59][60]) for the surrounding compact sandstone in seepage conditions and non-seepage conditions are shown in Figure 10. As shown in Figure 10, in seepage conditions, the stress in the boundaries of caverns is larger than in other areas of the surrounding compact sandstone during the excavation.…”

Section: Stress Analysismentioning

confidence: 99%

Analysis of the Hydromechanical Properties of Compact Sandstone and Engineering Application

Tang

Zhang

Wang

et al. 2023

Water

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The paper proposes a method to simulate the mechanical behavior of compact rock considering hydromechanics by combining physical experiments and numerical analysis. The effectiveness of the constructed method is validated by the comparison between the numerical and physical results of triaxial shear experiments on sandstone in seepage conditions. Based on the validated method, the stability of underground water-sealed oil and gas storage caverns in surrounding compact sandstone during excavation is analyzed. The main findings are as follows: The intrinsic permeability of compact sandstone has a power function relationship with the porosity; the combination of the porous media elastic model and the modified Drucker–Prager plasticity model can preciously represent the mechanical properties of compact sandstone; the proposed method can accurately replicate the hydromechanical response of compact sandstone in seepage conditions; the effects of hydromechanical effects have significant impacts on the stability of surround compact sandstone during the excavation of underground water sealed oil and gas storage caverns, which causes the obvious increase in stress, deformation and plastic deformation zones of the surrounding compact sandstone and remarkable decrease in the stability safety factor.

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“…Particularly in ocean engineering, the permeability characteristics of marine clay sediments substantially impact their equilibrium [17]. Additionally, in practical engineering, marine clay sediments must withstand cyclic loading and unloading of confining pressure due to repeated sea waves [18]. Cyclical loading and unloading of confinement pressure result in the repeated opening and closing of cracks in marine clay sediments, which significantly affect the permeability properties of these sediments.…”

Section: Introductionmentioning

confidence: 99%

Prediction of the Permeability Tensor of Marine Clayey Sediment during Cyclic Loading and Unloading of Confinement Pressure Using Physical Tests and Machine Learning Techniques

Cui,

Zhou,

Gao

et al. 2024

Water

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In this study, a method was introduced to validate the presence of a Representative Elementary Volume (REV) within marine clayey sediment containing cracks during cyclic loading and unloading of confinement pressure. Physical testing provided the basis for this verification. Once the existence of the REV for such sediment was confirmed, we established a machine-learning predictive model. This model utilizes a hybrid algorithm combining Particle Swarm Optimization (PSO) with a Support Vector Machine (SVM). The model was trained using a database generated from the aforementioned physical tests. The machine-learning model demonstrates favorable predictive performance based on several statistical metrics, including the coefficient of determination (R2), mean residual error (MSE), mean relative residual error (MRSE), and the correlation coefficient R during the verification process. Utilizing the established machine-learning predictive model, one can effortlessly obtain the permeability tensor of marine clayey sediment containing cracks during cyclic loading and unloading of confinement pressure by inputting the relevant stress condition parameters. The original research cannot estimate the permeability tensor under similar loading and unloading conditions through REV. In this study, the physical model test was used to determine the REV of marine cohesive sediments with cracks by cyclic-constrained pressure loading and unloading. Referring to the results of physical tests, we developed a machine-learning prediction model that can easily estimate the permeability tensor of marine cohesive sediments with cracks under cyclic loading and constrained pressure unloading conditions. This method greatly saves time and computation and provides a direct method for engineering and technical personnel to predict the permeability tensor in this case.

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Utilization of recycled concrete powder in modification of the dispersive soil: A potential way to improve the engineering properties

Cited by 33 publications

References 29 publications

Investigation on Mechanical Parameters and Microstructure of Soil-Based Controlled Low-Strength Materials with Polycarboxylate Superplasticizer

Investigation on Mechanical Parameters and Microstructure of Soil-Based Controlled Low-Strength Materials with Polycarboxylate Superplasticizer

Analysis of the Hydromechanical Properties of Compact Sandstone and Engineering Application

Prediction of the Permeability Tensor of Marine Clayey Sediment during Cyclic Loading and Unloading of Confinement Pressure Using Physical Tests and Machine Learning Techniques

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