Algorithm for Vertical Bearing Capacity Calculation of Rock-Socketed Piles in Karst Area Based on Load Transfer Method

He, Qinghua; Yu, Z. X.; Yue, Weijie; Tan, Weiyuan; Li, Zhengkai

doi:10.1088/1755-1315/719/4/042073

Cited by 5 publications

(4 citation statements)

References 5 publications

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“…For instance, Huang et al [ 7 ] introduced a novel theoretical model for a large-diameter stepped-tapered hollow pile, addressing the issue of instability in the bearing layer due to karst geological conditions. He et al [ 8 ] established models to calculate the side resistance, frictional resistance, and pile-end resistance of rock-socketed piles in the karst area. Xing et al [ 9 ] assessed the impact of various pile driving techniques and grouting methods on the mechanical properties of rock-socketed piles.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on programmatic multi-attribute decision-making problem: An example of bridge pile foundation project in karst area

Lu,

Nie,

Zhou

et al. 2023

PLoS ONE

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The selection of construction plans for adverse geological conditions frequently encountered during the construction of bridge pile foundations will have a significant impact on the project’s progress, quality, and cost. There is a need for the optimization of multi-attribute decision-making methods, considering the subjectivity in in weight allocation and the practical implementation obstacles. In this study, an evaluation framework for pile foundation construction schemes in karst areas was established. The directed graph and Bellman-Ford algorithm are employed to improve the Analytic Network Process (ANP) in the systematic structure, thereby calculating the subjective weights of various indicators. Simultaneously, based on the concept of dynamic weighting, a multiple linear regression is introduced for analyzing the weights of similar projects, resulting in the derivation of universal weights for the primary indicators within the evaluation system. The combination weights are subsequently determined through the weighted average of the two types of weights. Finally, the comprehensive scores of alternative schemes are computed using the grey-fuzzy evaluation method to enable decision-making in scheme selection. Cloud model, ELECTRE-II, and VIKOR methodologies were utilized for the comparison of results. Combining with a case study of a bridge project in karst development area in southern China, the findings indicate that the improved ANP method possesses practical applicability and yields effective computational results. The introduction of universal weights serves to ameliorate the inherent subjectivity in weight allocation. The pile foundation quality achieved using the optimal construction plan is classified as Class I, which prove the feasibility of the model.

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Section: Literature Reviewmentioning

confidence: 99%

Research on programmatic multi-attribute decision-making problem: An example of bridge pile foundation project in karst area

Lu,

Nie,

Zhou

et al. 2023

PLoS ONE

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“…Suloshini et al carried out a pile resistance test of bored pile in intact rock and found that pile lateral friction remained unchanged when the confining pressure ranged from 0 kPa to 400 kPa [22]. Based on the theoretical and experimental analysis of the load transfer law of rock-socketed piles in a Karst region, He et al proposed a calculation method for the vertical bearing capacity of rock-socketed piles in a Karst region based on the load transfer method [23]. Wang et al studied the load transfer mechanism of rock-socketed piles and found that pile side friction is related to the mechanical properties of the soil beside the pile [24].…”

Section: Introductionmentioning

confidence: 99%

Calculation Model of Vertical Bearing Capacity of Rock-Embedded Piles Based on the Softening of Pile Side Friction Resistance

Abi

Shen

Liu

et al. 2023

JMSE

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Rock-socketed pile is widely used in coastal wharf, Marine bridge, and Marine power engineering, and the end bearing function is considered more in the design process. However, the lateral friction resistance of rock-socketed piles is an important bearing part, and the load transfer mechanism of the pile–soft rock interface is an important research focus. In this paper, a comparative analysis was adopted in the test, and ten groups of test specimens were made, including five groups of natural and saturated mudstone specimens, respectively. The characteristics of interfacial load transfer were analyzed through the shear test of a pile–mudstone interface. A calculation model for the vertical bearing capacity of rock-socketed piles based on the softening of lateral friction resistance was established, and the effects of interface relative displacement, lateral positive pressure, pile length, and pile stiffness on the vertical bearing capacity of rock-socketed piles were analyzed. The results show that the shear strength of the pile–rock interface is lower than that of the mudstone interface, and the interfacial shear strength shows the characteristics of “first increasing, then decreasing, and finally flattening with the increase of shear displacement”. The vertical ultimate bearing capacity and residual bearing capacity under saturation were 89.49% and 89.73% of the natural state, respectively. With the increase of pile side pressure, the proportion of pile side friction resistance increased by 39.96%, and the pile side friction resistance was fully exerted. With the increase of pile length, the vertical ultimate bearing capacity of pile foundation increased, and the residual bearing capacity change value increased from 6.80% to 16.97%. However, the increase in pile stiffness had little effect on the vertical bearing capacity. The calculation model can provide a certain reference for the design and calculation of rock-socketed piles in soft rock areas.

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“…Xu et al divided the entire settlement process into three parts after analyzing the axial load-settlement law of bored piles containing debris [20]. Using static load testing of pile foundations in karst areas, He et al proposed a method for calculating the vertical bearing capacity of pile foundations based on the load-transfer method [21]. A method to determine the critical load for pile buckling when navigating a single-level cavern was put forth by Lei et al after conducting indoor model experiments [22].…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on Pile Load Transfer Considering Rice Stone Filled-In Gaps between Steel Drive Pipe and Pile Casing in Karst Region

Zhu,

Yang,

Liu

et al. 2023

Sustainability

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For a guarantee of perpendicularity and stiffness in piles in Karst areas, full rotary cast-in-place piles are often utilized, steel pipes are rotarily driven into a stratum, and inner-steel pile casing is positioned. With the engineering background of the bridge piles of Guinan high-speed railway in Guangxi autonomous region, the space between steel drive pipe is filled with rice stones, the load-transfer mechanism of which was studied. An apparatus was designed for pullout of the drive pipe, rice stones are replaced with coarse stones, a simplified organic glass-pipe model is put forward, another similar indoor stratigraphic model is also pre-cast, and the movement of coarse sands and load transfer is studied with two models. The quantity of sands is calculated using back analysis through reappearance and the Rhino model: the first one is estimated using a reproduction of the pullout procedure, the second is calculated through the Rhino model based on the observation of the shape of sand in caves. When the drive pipe is pulled out, some coarse sand flows into the Karst caves and becomes loose, while load is applied on the top of the pile. The movement of coarse sand develops further, and more coarse sand flows into caves close to the bottom; this leads to a reduction its frictional resistance, and the axial force of the pile increases closer to the upper position of the cave, whereas the axial force of the pile is concentrated almost constantly close to the bottom of the cave. Comparing the end resistance and the frictional resistance, coarse sand can bear pile load to a great extent.

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Algorithm for Vertical Bearing Capacity Calculation of Rock-Socketed Piles in Karst Area Based on Load Transfer Method

Cited by 5 publications

References 5 publications

Research on programmatic multi-attribute decision-making problem: An example of bridge pile foundation project in karst area

Research on programmatic multi-attribute decision-making problem: An example of bridge pile foundation project in karst area

Calculation Model of Vertical Bearing Capacity of Rock-Embedded Piles Based on the Softening of Pile Side Friction Resistance

Experimental Study on Pile Load Transfer Considering Rice Stone Filled-In Gaps between Steel Drive Pipe and Pile Casing in Karst Region

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