Prediction of Permeability Coefficient k in Sandy Soils Using ANN

Wrzesiński, Grzegorz; Markiewicz, Anna

doi:10.3390/su14116736

Cited by 10 publications

(4 citation statements)

References 29 publications

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“…The selection of the appropriate method for evaluating parameter k primarily depends on the soil type. Eurocode 7 identifies four methods for assessing parameter k, that are crucial to conducting a comprehensive analysis of the soil's properties: laboratory tests, field tests, estimation based on oedometer tests, and empirical correlations [26]. In the present work, the permeability was obtained through laboratory testing using the HYPROP.…”

Section: Retention Curves and Conductivity Curvesmentioning

confidence: 99%

Analysis of the Influence of Moisture Variation on the Behavior of Tropical Soils of Carajás Railway

et al. 2023

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The criteria for selecting materials for railway pavement (particle size distribution, California Support Index, and physical indexes) are not suitable for evaluating the hydraulic behavior of tropical soils under unsaturated conditions, often resulting in the rejection of soils with good mechanical and hydraulic performance. The railway trackbed is exposed to precipitation, allowing water infiltration into the pavement layers and consequently leading to moisture variation. Therefore, the present study aims to assess the moisture variation over time in the railway trackbed when subjected to the action of rainfall. For this purpose, five soils were analyzed as constituent materials of the subballast, with the infrastructure of the Carajás Railway in Brazil being used as a reference. Water retention curves and conductivity tests were conducted using the HYPROP (Hydraulic Property Analyzer) and WP4-C (Water Potential Four) equipment, and numerical modeling was developed using the IVFlow software. The numerical modeling revealed that sample 1 (lateritic sand) performed better compared to the other analyzed soils, as it exhibited lower moisture variation (3.25% above the optimum content) under the influence of rainfall and it also had low permeability.

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Section: Retention Curves and Conductivity Curvesmentioning

confidence: 99%

Analysis of the Influence of Moisture Variation on the Behavior of Tropical Soils of Carajás Railway

et al. 2023

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“…(6) Repeatedly execute steps 4 and 5 until convergence is achieved. (7) Obtain the pile-soil relative displacement after excavation. Calculate the residual pilesoil relative displacement S p at each node.…”

Section: Iterative Algorithm For the Proposed Difference Schemementioning

confidence: 99%

“…Piles are often installed beneath these infrastructures to bear the uplift or compression loads. As excavation results in stress relief, principal stress rotation, and disturbance to soil [5][6][7][8], the shaft resistance of the piles will decrease [6,9,10]. Therefore, it is crucial to investigate the load-displacement behavior of piles subjected to uplift load in order to check the safety of the pile design.…”

Section: Introductionmentioning

confidence: 99%

Analysis on Response of a Single Pile Subjected to Tension Load Considering Excavation Effects

Liu

et al. 2022

Applied Sciences

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With the development of urbanization, numerous excavations are carried out to facilitate the development of underground space. As a support for tunnel structures, uplift piles are often installed prior to tunnel excavation. The excavation inevitably causes disturbance to the soil below the excavation surface, changing the soil’s mechanical behavior and stress state significantly. However, there is still a lack of a method to evaluate the change in pile capacity due to excavation. This paper proposes a semi-analytical approach for estimating the change in load-settlement behavior of an uplift pile considering the effects of excavation. A hyperbolic model was adopted to simulate the nonlinear interaction of the pile–soil interface. The nonlinear shear-induced soil displacement outside the pile–soil interface is introduced to obtain a more realistic load-displacement behavior of the uplift pile. An effective iterative program was implemented based on the proposed semi-analytical approach. The comparisons between the results from the proposed methods, well-documented field tests, centrifuge tests, and other analytical methods showed that the proposed approach is suitable for analyzing an uplift pile considering excavation effects. A parametric study was conducted to investigate the effects of main soil properties on the pile capacity loss caused by excavation. The results showed that the soil friction angle and the ratio of the excavation depth to the pile effective length have a great influence on the loss in pile uplift capacity caused by excavation. However, the loss of pile uplift capacity caused by excavation is not affected by the soil’s shear modulus or Poisson’s ratio.

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“…The parameter k describes the hydraulic permeability of the soil, namely the ability of water filtration through the subsoil layer. The value of k in mineral soils will vary in the range of 10 −10 − 10 −2 m/s [4].…”

Section: Introductionmentioning

confidence: 99%

Manufacturing of Soil Coefficient Permeability Meter with Data Acquisition System Based on Internet of Things (IoT)

Aslami,

Irawan,

Muntini

et al. 2023

J. Fis. dan Apl.

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Soil permeability coefficient and measuring instrument using a data acquisition system based on Internet of Things (IoT) has been successfully made. The measuring equipment uses the falling head permeameter concept. MPX10GP sensor is used to measure water level. The measurement range is 6-40 cm water level, to obtain + 36 permeability coefficient value of each 1 cm. The data from the subsequent measurement systems is transmitted into the internet network so that it can be accessed by smartphone. Based on the measurement results of three samples, the slopes of Mount Ngantang have a soil permeability coefficient value of 0.0016 cm/s, the Institut Teknologi Sepuluh Nopember (ITS) pond embankment is 0.0005 cm/s, and the Bengawan Solo River embankment is 0.0002 cm/s. These results match with the reference and the difference value is only 2.7%. By using this research method, it is expected to draw up a map of the area that is prone to landslides quickly and accurately.

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Prediction of Permeability Coefficient k in Sandy Soils Using ANN

Cited by 10 publications

References 29 publications

Analysis of the Influence of Moisture Variation on the Behavior of Tropical Soils of Carajás Railway

Analysis of the Influence of Moisture Variation on the Behavior of Tropical Soils of Carajás Railway

Analysis on Response of a Single Pile Subjected to Tension Load Considering Excavation Effects

Manufacturing of Soil Coefficient Permeability Meter with Data Acquisition System Based on Internet of Things (IoT)

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