Centrifuge modeling of disconnected piled raft using vertical pushover tests

Park, Heon-Joon; Ko, Kil‐Wan; Song, Young-Hun; Song, MyungJun; Jin, Seok-Woo; Ha, Jeong‐Gon; Kim, Dong-Soo

doi:10.1007/s11440-020-00928-6

Cited by 21 publications

(4 citation statements)

References 21 publications

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“…The results of this study showed that micro-piles with certain variations in length, number, and installation configuration can increase the foundation's bearing capacity. Several studies, as indicated by Park H et al [28], have validated the efficacy of using micro-piles under shallow foundations, considering factors such as foundation thickness, depth, installation configuration, and the number of micro-piles. Park's study found that micropiles could reduce settlement and bending moments in shallow foundations.…”

Section: Resultsmentioning

confidence: 99%

Effectiveness of Micro-Pile Installation Configuration for Increasing the Ultimate Shallow Foundation Bearing Capacity on Soft Clay Soil

2024

GEOMATE

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Soft clay soil is known for low bearing capacity and is prone to soil collapse under shallow foundations through Local Shear Failure. An approach to enhance the load-bearing capacity of such soil is by adopting micro-piles as reinforcement. This study aims to determine the effectiveness of micro piles in strengthening shallow foundations on soft clay soil through laboratory-scale testing. The soft soil used comes from kaolin clay characterized by a cohesion (cu) of 20.692 kN/m 2 and water content (wc) of 58.631%. These properties guided the crafting of test specimens, formed with a diameter (ds) of 0.33m and a height (Hs) of 0.185m. Micropiles were constructed from bamboo with varying numbers (n = 4, 9, 16, 25), lengths (L1= 1.33B, L2= 1.73B, L3= 2.13B), and diameters (d1= 0.03B, d2 = 0.04B, d3= 0.07B). The shallow foundation model with a square shape of BxB (where B=0.075 m), incorporated diverse configurations for the installation of micro-piles (K1, K2, K3). The results showed that more micro-piles (n) led to a higher bearing capacity ratio at a 0.1B reduction (Rqult-mp). The most significant enhancements occurred with the longest micro-piles (L3 = 2.13B), the highest number (n4 = 25), and a diameter of 0.04 B. Additionally, configurations including micro-piles installed beneath and extending up to the foundation's edge (K1 and K2) exhibited significant enhancement in Rq0.1B for identical micro-piles numbers (n). The installation of micro-piles beyond the foundation perimeter did not yield substantial increases in Rq0.1B and, therefore, is not recommended.

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Section: Resultsmentioning

confidence: 99%

Effectiveness of Micro-Pile Installation Configuration for Increasing the Ultimate Shallow Foundation Bearing Capacity on Soft Clay Soil

2024

GEOMATE

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“…The authors of [16] analyzed pile axial load and bending moment for a disconnected piled raft using a centrifuge model test, and compared them with those of a connected piled raft. According to this study, the disconnected piled raft significantly reduced the differential settlement and vertical settlement compared to the raft, which means that the disconnected piled raft is expected to be a better settlement reducer more than a connected piled raft.…”

Section: Piled Raftmentioning

confidence: 99%

Prediction of Change Rate of Settlement for Piled Raft Due to Adjacent Tunneling Using Machine Learning

Kong

Lee

et al. 2021

Applied Sciences

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For tunneling in urban areas, understanding the interaction and behavior of tunnels and the foundation of adjacent structures is very important, and various studies have been conducted. Superstructures in urban areas are designed and constructed with piled rafts, which are more effective than the conventional piled foundation. However, the settlement of a piled raft induced by tunneling mostly focuses on raft settlement. In this study, therefore, raft and pile settlements were obtained through 3D numerical analysis, and the change rate of settlement along the pile length was calculated by linear assumption. Machine learning was utilized to develop prediction models for raft and pile settlement and change rate of settlement along the pile length due to tunneling. In addition, raft settlement in the laboratory model test was used for the verification of the prediction model of raft settlement, derived through machine learning. As a result, the change rate of settlement along the pile length was between 0.64 and −0.71. In addition, among features, horizontal offset pile tunnel had the greatest influence, and pile diameter and number had relatively little influence.

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“…With the gravel cushion, the load-sharing relationship between shallow soils and piles becomes more reasonable than CPRF [20][21]. The settlement of the DPRF is smaller than a shallow foundation [22][23]. Evidence showed that the gravel cushion could also perform as an isolation layer because it can decrease the earthquake energy transferred to the superstructure [22,[24][25] and the inertial forces from the superstructure to the foundation.…”

Section: Introductionmentioning

confidence: 99%

Seismic response of nuclear power station with disconnected pile-raft foundation using dynamic centrifuge tests

Yang

Fan

Cheng

et al. 2022

Journal of Cleaner Production

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Centrifuge modeling of disconnected piled raft using vertical pushover tests

Cited by 21 publications

References 21 publications

Effectiveness of Micro-Pile Installation Configuration for Increasing the Ultimate Shallow Foundation Bearing Capacity on Soft Clay Soil

Effectiveness of Micro-Pile Installation Configuration for Increasing the Ultimate Shallow Foundation Bearing Capacity on Soft Clay Soil

Prediction of Change Rate of Settlement for Piled Raft Due to Adjacent Tunneling Using Machine Learning

Seismic response of nuclear power station with disconnected pile-raft foundation using dynamic centrifuge tests

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