Load–Displacement Behavior of Driven Piles in Sand Using CPT-Based Stress and Strain Fields

Valikhah, Fatemeh; Eslami, Abolfazl; Veiskarami, Mehdi

doi:10.1007/s40999-018-0388-7

Cited by 10 publications

(4 citation statements)

References 29 publications

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“…Fak. Dergisi, 36 (4), Aralık 2021 utilized to carry out the reliability assessment of CPT based ultimate pile capacity calculation. The theory, which accounts for the variation of any random variable in space, is an efficient for uncertainty in one, two or three-dimensional spatial variation of mechanical properties [15].…”

Section: Random Field Theorymentioning

confidence: 99%

“…initial stress conditions, water conditions). Among the in-situ methods, cone penetration test (CPT) based approach is one of the commonly used in engineering practice, because the CPT is a simple and an economical method to provide representative site information in field conditions [4,5]. Furthermore, the mechanics of the test and the pile capacity are analogous.…”

Section: Introductionmentioning

confidence: 99%

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Calculation of Pile Capacity in Cohesionless Soil by CPT Considering Spatial Variability

Mert

Yazıcı

2021

Çukurova Üniversitesi Mühendislik Fakültesi Dergisi

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The study aims to construct a framework for CPT based ultimate pile capacity calculation for cohesionless soils with random field theory. Cone tip resistance (q c ) was taken as the spatially varying parameter with a constant mean and changing coefficients of variation. CPT profiles were simulated with random field generations, and the ultimate capacity of a single pile (Q u ) was calculated with these simulations. The influence of spatial variation of q c on the variation of Q u was investigated. The proposed framework was finally verified by comparing the results of an actual CPT database and the simulated CPT profiles in the study. The results showed that the critical vertical scale of fluctuation for CPT-based pile capacity calculations was equal to one diameter of pile (d v =1D), and that the method effectively predicted the ultimate pile capacity through simulated CPT profiles with random field. The proposed method is especially recommended for cases where the uncertainty consideration is necessary, yet the site-specific data is limited. The study aims to contribute a simple framework to the methods of CPTbased pile capacity with unceratinty consideration. The propesed method aims to facilitate the pile design framework with limited available data.

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Section: Random Field Theorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Calculation of Pile Capacity in Cohesionless Soil by CPT Considering Spatial Variability

Mert

Yazıcı

2021

Çukurova Üniversitesi Mühendislik Fakültesi Dergisi

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“…Antonios V. et al ( 2018) also did a field study in East Baton Rouge, Louisiana on the horizontal displacement of the ground soil when driving piles into soft clay gound [2]. Fatemeh V. et al (2019) proposed a new numerical analysis method to estimate the loaddisplacement behavior and bearing capacity of piles driven in sandy soil using the results of CPT experiments [3].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Pile Driving Process on Stress and Strain of Neighboring Building’s Foundations: An Application in Vietnam

Nguyen¹

2023

GEOMATE

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The driving of pile into the ground is one of the important tasks of construction works and especially for new buildings in big city. Difficulties in driving piles for new construction will adversely affect the foundations of neighboring and adjacent building. This research proposes a measure to assess the state of conduct of the pile driving process using a nonlinear Finite Element Method (FEM). Manuscript using Plaxis 3D Foundation analysis software for an existing building with reinforced concrete pile foundation with foundation tower size 2.0 m x 2.0 m on 4 piles with a cross-section of 0.3 m x 0.3 m, length 10.0 m; foundation bearing a load of 1000 kN. Then press the reinforced concrete pile size 0.3 m x 0.3 m, pile length 10.0 m, pressing position 0.5 m from the edge of the existing foundation, pressure 500 kN. The results of the analysis showed the effect of the adjacent pile process to the stress and strain of the neighboring building foundation in cramped land for construction conditions. In order to provide solutions to overcome difficulties for the adjacent building be effective. The effective stress in the existing reinforced concrete pile foundation without adjacent is -273.7 kN/m 2 , but when it is interlocked, it is -3490.0 kN/m 2 . After pressing the piles, the horizontal displacement of the existing piles is 10.2 mm and a bending moment of 48.6 kNm occurs.

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“…A common issue across past ANN models of pile foundations was the use of CPT data to estimate the shaft and base resistances of piles for input parameters while modelling [4,6,43,45,51]. Because the CPTs are very different from the actual working condition of piles, especially for large and long piles (e.g., the ratio of diameter and displacement, penetration speed, the stress level along the shaft), the pile shaft and base resistances computed from the sleeve and tip values measured by CPTs can deviate significantly from their real values [63]. Further, the soil deformation based on CPTs is much larger than that of piles, while failures of soil based on CPT data do not represent very well the ultimate state of piles under loading, resulting in inaccurate understanding of the mobilizations of base and shaft resistances in pile foundation.…”

Section: Introductionmentioning

confidence: 99%

Base resistance of super-large and long piles in soft soil: performance of artificial neural network model and field implications

2022

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This study aims to examine the performance of artificial neural network (ANN) model based on 1137 datasets of super-large (1.0–2.5 m in equivalent diameter) and long (40.2–99 m) piles collected over 37 real projects in the past 10 years in Mekong Delta. Five key input parameters including the load, the displacement, the Standard Penetration Test value of the base soil, the distance between the loading point and pile toe, and the axial stiffness are identified via assessing the results of field load tests. Key innovations of this study are (i) use of large database to evaluate the effect that random selection of training and testing datasets can have on the predicted outcomes of ANN modelling, (ii) a simple approach using multiple learning rates to enhance training process, (iii) clarification of the role that the selected input factors can play in the base resistance, and (iv) new empirical relationships between the pile load and settlement. The results show that the random selection of training and testing datasets can affect significantly the predicted results, for example, the confidence of prediction can drop under 80% when an average R2 > 0.85 is required. The analysis indicates predominant role of the displacement in governing the base resistance of piles, providing significant implication to practical designs.

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Load–Displacement Behavior of Driven Piles in Sand Using CPT-Based Stress and Strain Fields

Cited by 10 publications

References 29 publications

Calculation of Pile Capacity in Cohesionless Soil by CPT Considering Spatial Variability

Calculation of Pile Capacity in Cohesionless Soil by CPT Considering Spatial Variability

The Effect of Pile Driving Process on Stress and Strain of Neighboring Building’s Foundations: An Application in Vietnam

Base resistance of super-large and long piles in soft soil: performance of artificial neural network model and field implications

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