The stress and deformation of stone column-improved soft clay by discrete element modelling

Gu, M.; Cui, Jie; Yuan, Jie; Wu, Yang; Li, Yadong; Mo, Haizhao

doi:10.1080/19648189.2020.1715851

Cited by 10 publications

(8 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This study aims to investigate the impact of each pile section (e.g., the concrete section and the granular column section) on the bearing capacity and deformation of composite foundations. To ensure the validity and reliability of the coupled numerical model, the experimental results presented by Gu et al [41] on ordinary stone column-improved soft clay were referenced. A comparison was made between the numerical results and laboratory tests, as shown in Figure 2.…”

Section: Coupled Discrete-continuum Numerical Methodsmentioning

confidence: 99%

Bearing Capacity and Deformation of the Tandem Compound Piles Improved Foundation: A Parametric Study

Guo,

Cai,

2023

Materials

Self Cite

View full text Add to dashboard Cite

The tandem compound piles are a combination of a granular column in the deep section and a concrete pile in the shallow section. This method effectively utilizes the consolidation and densification effects of the granular column, as well as the cementation strength of the concrete material. The granular column acts as a consolidation path, aiding in the densification of the surrounding soil. On the other hand, the concrete pile prevents the bulging deformation that commonly happens in granular columns during field construction. To study the bearing capacity and deformation of the improved foundation with tandem compound piles, a coupled continuum-discrete numerical model was developed in this study. The accuracy of the model was confirmed by comparing its results with experimental measurements. Additionally, a parametric study was conducted, considering three influential factors: (1) cushion thickness and modulus, (2) length, modulus, diameter, and spacing of the tandem compound pile, and (3) soil modulus. The results indicated that reducing the cushion thickness and increasing the cushion modulus allowed the pile to bear more loads. Moreover, increasing the length and modulus of the deep section of the pile reduced deformation and improved the bearing capacity. The pile modulus, however, had a limited effect on enhancing the bearing capacity. It is important to maintain a critical pile spacing of at least twice the pile diameter. Finally, a high modulus of the underlying stratum led to higher vertical and radial stresses in the pile.

show abstract

Section: Coupled Discrete-continuum Numerical Methodsmentioning

confidence: 99%

Bearing Capacity and Deformation of the Tandem Compound Piles Improved Foundation: A Parametric Study

Guo,

Cai,

2023

Materials

Self Cite

View full text Add to dashboard Cite

show abstract

“…Assume that each butterfly releases a certain intensity of scent and the concentration of the released scent is related to its adaptation, while each butterfly senses the scent of other butterflies around it and moves toward those that emit more scent. The intensity of the fragrance produced by butterflies is represented by Equation (8).…”

Section: Butterfly Optimization Algorithmmentioning

confidence: 99%

“…There are various methods to evaluate mining-induced stresses on coal pillars, such as empirical (3)(4)(5)(6)(7) and numerical methods (8)(9)(10)(11)(12). An empirical method is a method of inductive analysis by collecting some previous cases.…”

Section: Introductionmentioning

confidence: 99%

Hybridizing five neural-metaheuristic paradigms to predict the pillar stress in bord and pillar method

Zhou

Chen

et al. 2023

Front. Public Health

View full text Add to dashboard Cite

Pillar stability is an important condition for safe work in room-and-pillar mines. The instability of pillars will lead to large-scale collapse hazards, and the accurate estimation of induced stresses at different positions in the pillar is helpful for pillar design and guaranteeing pillar stability. There are many modeling methods to design pillars and evaluate their stability, including empirical and numerical method. However, empirical methods are difficult to be applied to places other than the original environmental characteristics, and numerical methods often simplify the boundary conditions and material properties, which cannot guarantee the stability of the design. Currently, machine learning (ML) algorithms have been successfully applied to pillar stability assessment with higher accuracy. Thus, the study adopted a back-propagation neural network (BPNN) and five elements including the sparrow search algorithm (SSA), gray wolf optimizer (GWO), butterfly optimization algorithm (BOA), tunicate swarm algorithm (TSA), and multi-verse optimizer (MVO). Combining metaheuristic algorithms, five hybrid models were developed to predict the induced stress within the pillar. The weight and threshold of the BPNN model are optimized by metaheuristic algorithms, in which the mean absolute error (MAE) is utilized as the fitness function. A database containing 149 data samples was established, where the input variables were the angle of goafline (A), depth of the working coal seam (H), specific gravity (G), distance of the point from the center of the pillar (C), and distance of the point from goafline (D), and the output variable was the induced stress. Furthermore, the predictive performance of the proposed model is evaluated by five metrics, namely coefficient of determination (R2), root mean squared error (RMSE), variance accounted for (VAF), mean absolute error (MAE), and mean absolute percentage error (MAPE). The results showed that the five hybrid models developed have good prediction performance, especially the GWO-BPNN model performed the best (Training set: R2 = 0.9991, RMSE = 0.1535, VAF = 99.91, MAE = 0.0884, MAPE = 0.6107; Test set: R2 = 0.9983, RMSE = 0.1783, VAF = 99.83, MAE = 0.1230, MAPE = 0.9253).

show abstract

“…The distribution of vertical and radial stress of the soft soil under rigid foundation is different from that load only on the column top. When load is only on the column top, the vertical stress increases along the depth, and the radial stress in the upper soil near the side boundary is large [47].…”

Section: Vertical and Radialmentioning

confidence: 99%

“…Gu et al built a 3D DEM model for an end-bearing stone column in soft clay, and the stone column and surrounding soil were simulated by DEM. They analyzed the stress and deformation of an isolated stone column under load [47]. However, in practice, stone columns do not always penetrate the soft soil layer and sit on a hard bearing layer [19,21].…”

Section: Introductionmentioning

confidence: 99%

Loading Behavior and Soil-Structure Interaction for a Floating Stone Column under Rigid Foundation: A DEM Study

Liu

Guo

et al. 2021

Geofluids

View full text Add to dashboard Cite

This paper investigates the loading behavior and soil-structure interaction associated with a floating stone column under rigid foundation by using the discrete element method (DEM). The aggregates and soft soil are simulated by particles with different sizes. The rigid foundation is simulated by two loading plates at the same position with the same velocity. The stress distributions and microscopic interaction between the column and soft soil are investigated. The vertical stress of the column increases with settlement and decreases with the depth. The position of the column with large radial stress also has large deformation, which decreases from top to bottom. The vertical and radial stresses of the soft soil increase with settlement, and the radial stress shows high value in the upper part of soft soil. The stress concentration ratio is obtained by two loading plates, which decreases from 2.5 to 1.55 during loading. The interaction between column and soft soil shows that the column does not penetrate into the underlying stratum but drags the surrounding soil down.

show abstract

The stress and deformation of stone column-improved soft clay by discrete element modelling

Cited by 10 publications

References 31 publications

Bearing Capacity and Deformation of the Tandem Compound Piles Improved Foundation: A Parametric Study

Bearing Capacity and Deformation of the Tandem Compound Piles Improved Foundation: A Parametric Study

Hybridizing five neural-metaheuristic paradigms to predict the pillar stress in bord and pillar method

Loading Behavior and Soil-Structure Interaction for a Floating Stone Column under Rigid Foundation: A DEM Study

Contact Info

Product

Resources

About