A non-linear load transfer method for determining the settlement of piles under vertical loading

Boonyatee, Tirawat; Lai, Van Qui

doi:10.1080/19386362.2017.1410337

Cited by 12 publications

(5 citation statements)

References 23 publications

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“…Figure 6 shows that the mobilized base resistance (i.e., Q b /(P/A)) increases when the distance L p decreases. In particularly this ratio rises swiftly from around 10% to more than 30% when L p becomes less than 10 m. This observation, in fact, corroborates well previous data for large diameter bored piles [1,10,17,38,44]. The longer the distance, the harder the base resistance can be mobilized.…”

Section: Model Inputs and Outputssupporting

confidence: 90%

“…While it is well understood that the axial bearing capacity of a pile is mainly contributed by its shaft friction and base (or toe) resistance, immense effort has gone to establishing different methods to estimate bearing capacity of piles over the past years. Many solutions are based on complex mathematical derivations and numerical analysis [14,27,38,41], while others employ empirical equations derived from field tests such as Standard Penetration Test (SPT value) [19,30,49], Cone Penetration Test (CPT) [22,36,67] and field static/dynamic load tests [10,20,30]. Despite these various solutions, a significant limitation that most conventional approaches commonly share is their limited consideration of past experience as well as data.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Model Inputs and Outputssupporting

confidence: 90%

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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“…Xu et al [16] found that the hyperbolic method yields larger prediction errors than the API method and proposed a modified p-y approach based on field measurements. The p-y curve method has been developed to better simulate lateral responses based on model tests and numerical simulation results [17][18][19][20][21][22][23][24]. The above research mainly focus on the p-y curve under lateral monotonic loads.…”

Section: Introductionmentioning

confidence: 99%

A New p–y Curve for Laterally Loaded Large-Diameter Monopiles in Soft Clays

Wang

Cheng

et al. 2022

Sustainability

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In harsh offshore environmental conditions, the monopile foundations supporting offshore wind turbines must be designed for lateral loads such as winds, waves, and currents. The Beam on Nonlinear Winkler Foundation (BNWF) method has been widely used because of its clear concept and lower calculation cost. The selection of a reasonable p–y curve is critical to the calculation accuracy of this method. This paper clarified the defects of widely used API p–y curves for soft clays and then proposed a new p–y curve with better versatility and applicability. The suitability of the proposed p–y curve was validated by comparing it with the calculation results from the three-dimensional finite element method (3D FEM). Compared with the API p–y curve, the proposed p–y curve can better predict the lateral behavior of large-diameter piles in soft clays, such as the load–displacement curve of the pile head, lateral deflection profile, and bending moment profile. The research findings can provide guidance for the design of monopile foundations supporting offshore wind turbines in soft clays.

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“…Considering the similarity between the anchor-soil and pile-soil interfaces and mature research on the shear model of pile-soil interface [17,18], most previous studies on the shear model of anchor-soil interface utilized the relevant conclusions of the shear model of pile-soil interface. To investigate the shear characteristics of the anchor-soil interface, Chen et al [19] developed a tester that simulated the bonding characteristics of anchor-soil interface under various environmental conditions in batches and proposed a new shear model of anchor-soil interface.…”

Section: State Of the Artmentioning

confidence: 99%

Analytical Calculation on the Load - Displacement Curve of Grouted Soil Anchors

Yang¹,

Chen²,

Zhang³

et al. 2018

JESTR

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The load-displacement curve of anchors can be used as a basis for quality tests, and it is also important in the stability analysis of the combined supporting structure of anchors. Most of the existing analytical methods can only solve the partial pullout process of grouted soil anchors and obtain local load-displacement curves. To obtain a complete loaddisplacement curve, mechanical differential equations for the anchoring section in each stage were derived in this study based on a softening shear model of the anchor-soil interface and a load transfer model of the anchoring section. Combined with boundary conditions, the displacement, axial force, and shear stress distributions along the anchoring section and the analytical solutions for the load-displacement curve in the entire pullout process of anchors were obtained. The accuracy of the proposed method was verified by a pullout test on a foundation pit in Chongqing, China. Results show that a complete load-displacement curve is obtained with the proposed analytical method and a theoretical curve is consistent with a field pullout curve. The shear stress on the anchoring section is irregularly and non-uniformly distributed with a single peak. The load-displacement curve is influenced by the changes in parameters, such as anchorage length, anchorage radius, elastic modulus of the anchoring section, and residual shear coefficient. The present study accurately simulates the entire pullout process of anchors, determines their ultimate bearing capacity, obtains a complete load-displacement curve, and provides a theoretical basis for the quality evaluation and modelling analysis on grouted soil anchors.

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A non-linear load transfer method for determining the settlement of piles under vertical loading

Cited by 12 publications

References 23 publications

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

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

A New p–y Curve for Laterally Loaded Large-Diameter Monopiles in Soft Clays

Analytical Calculation on the Load - Displacement Curve of Grouted Soil Anchors

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