A novel method for determining the particle breakage contribution of high-speed railway graded aggregate and its application in vibratory compaction

Xie, Kang; Li, Taifeng; Chen, Xiaobin; Deng, Zhixing

doi:10.1016/j.cscm.2023.e02281

Cited by 5 publications

(5 citation statements)

References 42 publications

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“…Based on the results of this paper and the references [11,21,48], it is indicated that the ANN model exhibits excellent predictive performance for the vibration compaction parameters (fov) of HRGG fillers. This highlights the significant advantage of the ANN model in fov prediction, providing more accurate guidance for practical engineering applications.…”

Section: Discussionmentioning

confidence: 78%

where S 0 .…”

Section: The Methods Of Determining F Ovmentioning

confidence: 99%

“…To ensure consistency between the indoor K30 and field experiments, it is necessary to scale down the K30 of the field using the theory of similarity. The K30 in this experiment was computed by Equation (4), which was derived based on the similarity coefficient for K30 proposed by Xie et al [11]. Applying the method proposed by Xie et al [25] to determine the maximum dry density ρd max , the compaction degree K of HRGG fillers can be calculated in real time by Equation (3).…”

Section: X=0mentioning

confidence: 99%

“…Through plate vibration compaction experiments, Wang et al [ 9 ] and Ji et al [ 10 ] identified an optimal vibration frequency range (25~27 Hz) under varying excitation forces, resulting in the attainment of maximum dry density during the compaction of coarse-grained soil fillers. Moreover, in vibration compaction experiments, Xie et al [ 11 ] observed that employing the optimal frequency reduces HRGG filler crushing, contributing to its optimal mechanical performance. Furthermore, based on indoor experiments, Ye et al [ 12 ] found that when the vibration frequency (25~30 Hz) approaches the resonance frequency of the fillers, the structure of coarse-grained soil fillers becomes more compact, resulting in the maximum dry density.…”

Section: Introductionmentioning

confidence: 99%

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A Framework for Determining the Optimal Vibratory Frequency of Graded Gravel Fillers Using Hammering Modal Approach and ANN

Xiao,

Li,

Lin

et al. 2024

Sensors

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To address the uncertainty of optimal vibratory frequency fov of high-speed railway graded gravel (HRGG) and achieve high-precision prediction of the fov, the following research was conducted. Firstly, commencing with vibratory compaction experiments and the hammering modal analysis method, the resonance frequency f0 of HRGG fillers, varying in compactness K, was initially determined. The correlation between f0 and fov was revealed through vibratory compaction experiments conducted at different vibratory frequencies. This correlation was established based on the compaction physical–mechanical properties of HRGG fillers, encompassing maximum dry density ρdmax, stiffness Krd, and bearing capacity coefficient K20. Secondly, the gray relational analysis algorithm was used to determine the key feature influencing the fov based on the quantified relationship between the filler feature and fov. Finally, the key features influencing the fov were used as input parameters to establish the artificial neural network prediction model (ANN-PM) for fov. The predictive performance of ANN-PM was evaluated from the ablation study, prediction accuracy, and prediction error. The results showed that the ρdmax, Krd, and K20 all obtained optimal states when fov was set as f0 for different gradation HRGG fillers. Furthermore, it was found that the key features influencing the fov were determined to be the maximum particle diameter dmax, gradation parameters b and m, flat and elongated particles in coarse aggregate Qe, and the Los Angeles abrasion of coarse aggregate LAA. Among them, the influence of dmax on the ANN-PM predictive performance was the most significant. On the training and testing sets, the goodness-of-fit R2 of ANN-PM all exceeded 0.95, and the prediction errors were small, which indicated that the accuracy of ANN-PM predictions was relatively high. In addition, it was clear that the ANN-PM exhibited excellent robust performance. The research results provide a novel method for determining the fov of subgrade fillers and provide theoretical guidance for the intelligent construction of high-speed railway subgrades.

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Section: Discussionmentioning

confidence: 78%

where S 0 .…”

Section: The Methods Of Determining F Ovmentioning

confidence: 99%

Section: X=0mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Framework for Determining the Optimal Vibratory Frequency of Graded Gravel Fillers Using Hammering Modal Approach and ANN

Xiao,

Li,

Lin

et al. 2024

Sensors

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show abstract

“…Various indicators that characterize particle crushing have been documented in existing literature, encompassing parameters derived from individual particle size, gradation parameters, soil surface area, and gradation evolution [49][50][51][52]. However, these parameters often only capture changes in specified particle size or partial particles during the crushing process, or they merely demonstrate the overall amount of fragmentation after the experiment, leading to a biased and incomplete representation.…”

Section: Quantitative Assessment Of Particle Breakagementioning

confidence: 99%

Investigation on the Confined Breakage Characteristics of Calcareous Sand in the South China Sea Integrated Using Relative Breakage Ratio and Fractal Dimension

Zhu,

Zheng,

Yang

2024

Sustainability

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Calcareous sand, ubiquitous in the geotechnical makeup of the South China Sea, exhibits both compressibility and vulnerability to fragmentation when subjected to external loading, spanning a spectrum from typical to extreme conditions. This investigation aims to quantitatively assess the compression and particle breakage characteristics of calcareous sand under varied parameters, including relative density, saturation, applied loads, and loading paths, specifically focusing on sustainable geotechnical methodologies. Through a series of confined compression tests, this evaluation employed the relative breakage ratio and fractal dimension as key evaluative metrics. The results indicated that employing this integrated approach offered a more comprehensive understanding of calcareous sand breakdown mechanisms than relying on a singular particle breakage index. Furthermore, an increase in relative density can induce a transition in particle contact behavior, shifting from point-to-point interactions to face-to-face contact, thereby reducing inter-particle stress and minimizing grain breakage, particularly under loads below 200 kPa. Increasing loads exacerbated particle breakage, with finer particles predominantly initiating this process. During reloading, pore ratios across various load levels surpass those observed during initial loading, except at 1600 kPa, where a decline in pore ratio was noted, coinciding with pore water extrusion and the onset of new particle fracturing. The lubricating effect of water reduces inter-particle friction, enhancing stress concentration at particle edges and localized particle breakage, thereby increasing the presence of finer particles without significantly altering the overall structure. Notably, the influence of pore water pressure is evident during the reloading phase. These findings contribute to a refined theoretical framework for predicting coastal erosion risks and devising effective environmental protection strategies for sustainable coastal engineering practices.

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Macro- and micro- deterioration mechanism of high-speed railway graded gravel filler during vibratory compaction

Xiao,

Xie,

et al. 2023

Construction and Building Materials

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A novel method for determining the particle breakage contribution of high-speed railway graded aggregate and its application in vibratory compaction

Cited by 5 publications

References 42 publications

A Framework for Determining the Optimal Vibratory Frequency of Graded Gravel Fillers Using Hammering Modal Approach and ANN

A Framework for Determining the Optimal Vibratory Frequency of Graded Gravel Fillers Using Hammering Modal Approach and ANN

Investigation on the Confined Breakage Characteristics of Calcareous Sand in the South China Sea Integrated Using Relative Breakage Ratio and Fractal Dimension

Macro- and micro- deterioration mechanism of high-speed railway graded gravel filler during vibratory compaction

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