journal article·2026-07-01Open access

Research on vertical bearing behaviors of concrete-core cement mixing piles based on a four-dimensional lattice spring model

Jun Qi, Weizhen Huang, Zhanhui Qin, Shaohong Lv, Qiao Xu, Jiajun Wang

AIP Advances· Volume 16· Issue 7

Abstract

Concrete-core cement mixing (CCM) piles are an effective ground improvement technique for soft soils, enhancing bearing capacity and material efficiency by introducing a stiff core. However, the mechanisms governing vertical bearing behavior, ground failure evolution, and the influence of key structural parameters remain insufficiently understood. A series of numerical models of CCM piles with varying core lengths and irregular cross-sectional configurations are established using a four-dimensional lattice spring model (4D-LSM). The load transfer mechanisms, the mobilization of shaft resistance, and settlement responses under vertical loadings are systematically investigated. The predicted load–settlement curves and failure patterns exhibit good agreement with laboratory model tests, demonstrating the accuracy and applicability of 4D-LSM. Parametric analyses indicate that core length is a dominant factor influencing bearing performance, with the most significant improvement achieved when the core length is 0.8–1.0 times the pile length. Bamboo-shaped piles significantly enhance shaft resistance by enlarging the pile–soil contact area, resulting in ∼40% increase in ultimate bearing capacity and reduced settlement compared with uniform-diameter piles. Properly designed stepped piles can maintain bearing capacity while reducing material consumption. Optimizing the core length and cross-sectional configuration can effectively enhance bearing performance while improving material efficiency, highlighting the sustainability potential of CCM piles in soft ground engineering.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Geotechnical Engineering and Soil Stabilization · Geotechnical Engineering and Soil Mechanics · Geotechnical Engineering and Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Guangdong Zhuzhao Railway Co., Ltd 1 , Guangzhou 510000,

School of Civil Engineering, Sun Yat-sen University 2 , Zhuhai 519082,

State Key Laboratory for Tunnel Engineering (Sun Yat-sen University) 3 , Zhuhai 519082,

Funding

Guangdong Zhu-Zhao Railway Co.,

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