Prediction Of Pile Settlement Research Articles

Granular Pile Settlement Prediction on Varying Soil Strata: FEM Approach

Granular Pile Settlement Prediction on Varying Soil Strata: FEM Approach

Single Bored Pile Settlement Prediction Taking into Account the Elastic-Plastic Behavior of the Soil

Single Bored Pile Settlement Prediction Taking into Account the Elastic-Plastic Behavior of the Soil

Prediction of pile settlement by using hybrid random forest models

Prediction of pile settlement by using hybrid random forest models

Prediction of pile settlement using hybrid support vector regressor

Prediction of pile settlement using hybrid support vector regressor

Pile settlement prediction applying hybrid ALO-SVR and BBO-SVR approaches

Pile settlement prediction applying hybrid ALO-SVR and BBO-SVR approaches

Effect of clay compaction around driven pile and prediction of pile settlement

In the article the problem of geotechnical application of clay nd claystone as a base of driven pile foundations has been considered. When using these foundations, a compaction zone is formed in the clay space around the pile. The purpose of this research is to analyze the influence of compaction zones on the results of analytical and numerical calculations for predicting the settlement of a driven pile in layered clay soils. The following tasks were solved: 1) The existing investigations of pile settlement in layered clay soils were analyzed; 2) The characteristics of experimental sites and the parameters of numerical modeling were, methods for testing single field piles in layered clay soils were described; 3) Calculation of single pile settlement was performed carried out by numerical methods with the use of Plaxis 2D software package and by an analytical method; 4) The experimental data were compared with the results of calculations by analytical and numerical methods. The developed calculation scheme with two compaction zones around driven piles can provides reasonable estimates of vertical displacements of the clay base. Based on the results obtained, the authors recommend using the analytical method with due regard for compaction zones in clays and claystones around the driven pile.

A new modified method of predicting load-settlement behavior for large-diameter helical piles in sand considering nonlinear degradation of soil stiffness

With respect to the design of helical pile foundations, reliable prediction of pile settlement is necessary to ensure appropriate structural and serviceability performance. At present, most research into the load-settlement response is focused on the regular displacement piles (precast/cast-in-place driven displacement piles) while there is little research on the prediction of the load-settlement curve of helical piles in sand. This paper presents a new modified method taking Randolph’s analytical pile solution as the theoretical framework with the consideration of the nonlinear soil stiffness degradation corresponding to different loads and settlements. The proposed method for helical piles is verified by centrifuge tests of 9 helical piles in three types of sand (loose, medium dense and dense sand) and 4 helical piles in two field test cases with better agreement with test results compared with the existing method for driven piles. Also, the influence of different parameters of pile and soil on the load-settlement curve of single-blade piles is analyzed. Highlights A novel empirical formula is proposed to analyze the nonlinear behavior of the load-displacement curve of a single-helix pile based on the back-analysis method. The load-settlement curves predicted from the new modified method is in reasonably good agreement with measured ones from both centrifuge and field tests. The calculated load-settlement curves of 4 helical piles in 2 field tests from the new modified method are in significantly better agreement with those from exisiting method for driven piles in sand.

A novel soil-pile interaction model for vertical pile settlement prediction

In the past decades, many continuum-mechanics-based soil-pile interaction models have been proposed for static or dynamic loading problems. However, considering the difficulty to solve the nonlinear continuum mechanics problem analytically, most of them are applied to study the linear elastic problems. Therefore, Load Transfer Functions whose coefficients are generally concluded from the experimental results are alternatively used in the nonlinear behavior studies. In this paper, a coupled soil-pile interaction model is proposed to predict the pile head settlement. The model is established under ideal elastoplastic assumption and unifies the computation of end bearing and floating piles without involving any parameters with ambiguous physical meanings. The reliability of the present solution is verified through the comparisons with in-field results. At last, a detailed parametric study is given to exhibit the development of skin friction around the pile shaft. And, the potential penetration failure is alerted for end-bearing piles with large Young's modulus.

On the Use of Neuro-Swarm System to Forecast the Pile Settlement

In civil engineering applications, piles (deep foundations) are pushed into the ground in order to perform as steady support of structures. As these type of foundations are able to carry a huge amount of load, they should be carefully designed in terms of their settlement. Therefore, the control and estimation of settlement is a significant issue in pilling design and construction. The objective of the present study is to introduce a modeling process of a hybrid intelligence system namely neural network optimized by particle swarm optimization (neuro-swarm) for estimation of pile settlement. To do that, properties results of several piles socketed into rock mass together with their settlements were considered as established databased to propose neuro-swarm model. Then, several sensitivity analyses were carried out to determine the most influential particle swarm optimization parameters for pile settlement prediction. Eventually, five neuro-swarm models were constructed to understand the behavior of this hybrid model on them in pile settlement prediction. As a result, according to results of five performance indices, dataset number 4 showed the highest prediction capacity among all five datasets. The coefficient of determination (R2) and system error values of (0.851 and 0.079) and (0.892 and 0.099) were obtained respectively for train and test stages of the best neuro-swarm model which reveal the capability level of this hybrid model in predicting pile settlement. The modeling process introduced in this study can be useful for the researchers who are interested to work on the same hybrid technique.

Model of nonlinear behavior applied to prediction of settlement in deep foundations

La predicción de los asentamientos de pilotes es considerada una tarea compleja para los investigadores y profesionales de la ingeniería geotécnica, lo anterior, teniendo en cuenta la diversidad de métodos de previsión y la dificultad de emplear modelos de previsión que representen el comportamiento no lineal del suelo. De esta manera, en este trabajo se evalúan dos métodos de previsión no lineal del asentamiento de un pilote raíz instrumentado, de 23 m largo y 31 cm de diámetro, a través de una prueba de carga estática lenta (SML). El subsuelo del área de estudio está compuesto por arcilla limo-arenosa coluvial, laterítica y colapsable en el estrato superficial (6,5 m), seguido por un estrato de limo arcillo-arenoso (residual) hasta una profundidad de 20 m. Los resultados mostraron que los modelos de comportamiento no lineal concuerdan correctamente con los resultados experimentales. También se verificó que fueron necesarios pequeños desplazamientos de la parte superior del pilote (5,1 mm), para la saturación de la fricción lateral, y que la reacción de la punta presentó un aumento continuo hasta la etapa final del ensayo.

Prediction of pile settlement based on cone penetration test results: An ANN approach

Several theoretical and experimental methods are available to estimate pile settlement. Due to difficulties for obtaining undisturbed samples, many of these methods have been focused on in-situ tests. The cone penetration test is one of the most effective in-situ tests because of its geometrical analogy with the piles as well as presenting continuous results along the depth. In this study, 1300 recorded settlement data from 101 pile loading tests with the CPT results were collected. Then Artificial Neural Network analyses (ANN) were conducted to obtain the best model for the prediction of pile settlement. The relative importance of input parameters has been evaluated using senility analysis. Accuracy predictions of the proposed model, along with other classic methods, were compared with the recorded values from the loading tests with the aid of different statistical parameters. This comparison indicated the superiority of the proposed model over previous methods. A parametric study has also been performed for the input parameters to study the consistency of the suggested model.

Prediction of pile settlement in an elastic soil

This paper presents a simple regression to predict settlement of a single floating pile supported by a homogeneous elastic soil and subjected to a vertical load. The regression, which is calibrated by a finite element model, allows the direct computation of the pile length required for serviceability limit state design of deep foundations.

Prediction of pile settlement using artificial neural networks based on standard penetration test data

In recent years artificial neural networks (ANNs) have been applied to many geotechnical engineering problems with some degree of success. With respect to the design of pile foundations, accurate prediction of pile settlement is necessary to ensure appropriate structural and serviceability performance. In this paper, an ANN model is developed for predicting pile settlement based on standard penetration test (SPT) data. Approximately 1000 data sets, obtained from the published literature, are used to develop the ANN model. In addition, the paper discusses the choice of input and internal network parameters which were examined to obtain the optimum model. Finally, the paper compares the predictions obtained by the ANN with those given by a number of traditional methods. It is demonstrated that the ANN model outperforms the traditional methods and provides accurate pile settlement predictions.

A procedure for theoretical estimation of dewatering-induced pile settlement

Dewatering in geotechnical excavations may cause soil consolidation and settlement, which would exert negative skin friction on nearby piles and cause additional pile settlements. Incorporating four steps that include a pumping model, a simplified consolidation evaluation, a pile–soil interaction model and a semi-theoretical pile settlement prediction, this paper presents a procedure to estimate the drawdown, the soil consolidation settlement, the negative friction on the pile shaft and the additional pile settlement, induced by dewatering in phreatic zones. Numerical calculations for a simplified situation of dewatering operation illustrate the proposed procedure in estimating the mechanical effects of dewatering on nearby piles.

A new method for single pile settlement prediction and analysis

A method is presented for the analysis and prediction of single pile behaviour under maintained loading, based on the use of hyperbolic functions to describe individual shaft and base performance. ...

New method for single pile settlement prediction and analysis : Fleming, W G K GeotechniqueV42, N3, Sept 1992, P411–425

New method for single pile settlement prediction and analysis : Fleming, W G K GeotechniqueV42, N3, Sept 1992, P411–425

A new method for signle pile settlement prediction and analysis

A method is presented for the analysis and prediction of single pile behaviour under maintained loading, based on the use of hyperbolic functions to describe individual shaft and base performance. When these functions are combined, and elastic pile shortening is added by a relatively simple procedure, an accurate model is obtained. By a simple method of linkage, which relies on the fact that a hyperbolic function of the type described requires only definition of its origin, its asymptote and either its initial slope or a single point on the function, conventional 'elastic' soil parameters and ultimate loads may be used to describe total performance. By means of the changing slope of such functions, this method also reflects well in the increase of soil moduli at low strains. Examples are given from back-analysis of some fully instrumented and other cast-in-place pile test results, to demonstrate that good agreement with all recorded features can be achieved using the model. Extensive use has confirmed its validity for maintained load tests in a wide range of soils. Provided that piles have been made to settle sufficiently under load, so that the latter part of each relationship is well defined beyond the stage where shaft friction is close to a constant value, all the main relevant parameters can be determined with good accuracy in back-analysis. The derived data may then be used to predict behaviour of piles in similar circumstances on other sites or of piles of different diameter in the same soils. Subject to the conditions described in the Paper, the method has far-reaching implications for design, construction and testing techniques. L'article présente une méthode pour analyser et prédire le comportement d'un pieu unique sous chargement continu. Elle est basée sur l'emploi de fonctions hyperboliques pour décrire les performances du fût isolé et de la pointe. Lorsque ces fonctions sont combinées et qu'on y ajoute le raccourcissement élastique du pieu il en résulte un modèle précis. Par une méthode très simple de connexion il est possible d'employer des paramètres élastiques conventionnels du sol et des charges limites de rupture pour décrire les performances totales. Cette méthode reflète bien l'accroissement des modules du sol avec basses contraintes. Des examples sont présentés pour démontrer que l'emploi du modèle s'accorde bien avec toutes les données enregistrées. Son emploi frequent a confirmé sa validité pour des essais à chargements continus pour une large gamme de sols. Pourvu que les pieux soient assez enfoncés sous chargement, on trouve que tous les paramètres principaux importants peuvent être détermines avec une précision satisfaisante par analyse rétrospective. Alors il est possible d'employer les données dérivées pour prédire le comportement des pieux sous des circonstances analogues à d'autres emplacements ou bien de pieux de diamètre différent dans les mêmes sols. Cette méthode a des implications d'une grande portée pour les études, la construction et la technique des essais.