Settlement based load capacity curve for single helix helical pile in c - ϕ soil

Shuman, Nur Mohammad; Khan, Sadik; Amini, Farshad

doi:10.1016/j.sandf.2022.101265

Cited by 5 publications

(1 citation statement)

References 15 publications

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“…The plate load test results show the relationship between pressure (q) and settlement (δ). The pile capacity is obtained from the loadsettlement relationship [20]. The bearing capacity of peat soil is obtained to determine the ultimate bearing capacity (qu).…”

Section: Model Dimensions and Micropile Configurationsmentioning

confidence: 99%

The Bearing Capacity of Peat Soil With Bamboo Reinforcement

Waruwu

2024

GEOMATE

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Peat soil is a type of soil that has low bearing capacity and high settlement, which has an unfavorable effect on construction. Peat soils require a reinforcement system of micropile-reinforced slabs. One alternative material that can be used as a micropile is bamboo. This study aims to determine the impact of bamboo micropiles on increasing bearing capacity, modulus of subgrade reaction, and reducing settlement. This research was conducted by testing a physical model on peat soil reinforced with bamboo micropiles and concrete micropiles as a comparison. The lengths of the piles used were 10 cm, 20 cm, 30 cm, and 40 cm, respectively, which were installed on a 30 cm x 30 cm slab. The plate load test is conducted on the slab to obtain the bearing capacity. The results showed that micropiles could increase bearing capacity and reduce settlement. The bearing capacity of slabs with bamboo micropiles was close to that of concrete micropiles, or about 0.92 times the bearing capacity of concrete micropiles. The primary difference between the two materials was the rougher surface of the concrete micropile, which provided higher shaft friction than the bamboo micropile. The subgrade reaction's initial and secant moduli were 170 and 50 times the bearing capacity, respectively. Settlement reduction due to pile installation was relatively high at the initial loading and constant at higher loads.

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Section: Model Dimensions and Micropile Configurationsmentioning

confidence: 99%

The Bearing Capacity of Peat Soil With Bamboo Reinforcement

Waruwu

2024

GEOMATE

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Experimental and Numerical Studies of the Failure Mode and Mechanical Performance of Helices in Screw Piles

Qu,

Zhang,

Guo

2023

Int J Civ Eng

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Efficient machine learning model for settlement prediction of large diameter helical pile in c—Φ soil

Shuman,

Khan,

Amini

2024

AI Civ. Eng.

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Machine learning is frequently used in various geotechnical applications nowadays. This study presents a statistics and machine learning model for settlement prediction of helical piles that relates compressive service load and soil parameters as a group with the pile parameters. Machine learning algorithms such as Decision Trees, Random Forests, AdaBoost, and Artificial Neural Networks (ANN) were used to develop the predictive models. The models were validated using cross-validation techniques and tested on an independent dataset to assess their accuracy and generalizability. Numerical investigation is used here to supplement the field data by simulating various soil conditions and pile geometries that have not been tested in the field. This study compiled numerical results of 3600 models. As the models are well-calibrated and validated, the data from these models can be reasonably assumed to simulate the ground situation. At the end of this study, a comparative analysis of statistic learning and machine learning (ML) was done using the field axial load tests database and numerical investigation on helical piles. It is observed that ML models like Decision Trees and Random Forests provided the better model with R-squared values of 0.92 and 0.96, respectively, for large diameters. The authors believe this study will permit engineers and state agencies to understand this prediction model's efficacy better, resulting in a more resilient approach to designing large-diameter helical piles for the compressive load.

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Settlement based load capacity curve for single helix helical pile in c - ϕ soil

Cited by 5 publications

References 15 publications

The Bearing Capacity of Peat Soil With Bamboo Reinforcement

The Bearing Capacity of Peat Soil With Bamboo Reinforcement

Experimental and Numerical Studies of the Failure Mode and Mechanical Performance of Helices in Screw Piles

Efficient machine learning model for settlement prediction of large diameter helical pile in c—Φ soil

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