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Pile bearing capacity

Xem 1-17 trên 17 kết quả Pile bearing capacity
  • Part 2 book "Geotechnical engineering - Principles and practices of soil mechanics and foundation engineering" includes content: Shallow foundation i - ultimate bearing capacity; shallow foundation ii - safe bearing pressure and settlement calculation; shallow foundation iii - combined footings and mat foundations; deep foundation i - pile foundation; deep foundation ii - behavior of laterally loaded vertical and batter piles, deep foundation iii - drilled pier foundations; foundations on collapsible and expansive soils.

    pdf549p dianmotminh04 12-07-2024 0 0   Download

  • In this study, an advanced machine learning model based on artificial intelligence, the Random Forest, was developed and applied to predict the bearing capacity of piles. This model is used as a predefined model applied in the MonteCarlo simulation method to determine the reliability of the pile-bearing capacity.

    pdf13p vijeff 27-11-2023 9 5   Download

  • This paper is aimed to apply hybrid machine learning model namely GA-ANFIS, which is a combination of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithm (GA), for the prediction of total bearing capability of driven piles.

    pdf8p visharma 20-10-2023 8 4   Download

  • This paper presents the results of applying the Artificial Neural Network (ANN) model in determining pile bearing capacity. The traditional methods used to calculate the bearing capacity of piles still have many disadvantages that need to be overcome such as high cost, complicated calculation, time-consuming.

    pdf8p visharma 20-10-2023 5 4   Download

  • The obsevation from experimental results indicates that: (1) interface shear behavior between well-graded coral soils and steel structure follows the strain hardening rules; (2) the magnitudes of friction resistances between two materials are related to the gradation and grain size of coral soils, for coral sand limit sliding displacement is around 1mm with interface friction angle of 27.9o while for coral sandy-gravel these values are 2-3mm and 32.

    pdf8p vifriedrich 30-08-2023 7 3   Download

  • Part 1 of ebook "Helical piles: A practical guide to design and installation" provides readers with contents including: chapter 1 - introduction; chapter 2 - installation; chapter 3 - basic geotechnics; chapter 4 - bearing capacity; chapter 5 - pullout capacity; chapter 6 - capacity-to-torque ratio; chapter 7 - axial load testing; chapter 8 - reliability and sizing;...

    pdf244p hanlinhchi 29-08-2023 7 2   Download

  • Ebook Foundation analysis and design (Fifth edition) includes an IBM computer disk containing 16 compiled programs together with the data sets used to produce the output sheets, as well as new material on sloping ground, pile and pile group analysis, and procedures for an improved analysis of lateral piles. Bearing capacity analysis has been substantially revised for footings with horizontal as well as vertical loads.

    pdf617p lytamnguyet 04-08-2023 3 3   Download

  • In this study, construction sequence and prediction of axial bearing capacity of M-pile on cohesive soil were introduced. M-pile analysis used with outer diameter of 318.5 mm and thickness of 12.7 mm. The analysis results show that the ultimate bearing capacity prediction of M-pilein soft clay soil considerably increase compared with bored and cast-in-place piles with the same diameter and depth thanks to multiple blades welded along the pile shaft.

    pdf8p viberkshire 09-08-2023 4 3   Download

  • This paper uses XGBoost to predict bearing capacity of concrete piles. The proposed model is trained and tested against a dataset of 472 samples collected from static load tests in Vietnam. The results indicate that the default XGBoost model consistently outperforms the Deep Neural Network (DNN) regression. XGBoost is a suitable tool for engineers to predict pile bearing capacity.

    pdf9p nhanchienthien 25-07-2023 9 3   Download

  • The paper "Artificial neural network for regression analysis developed in excel VBA: A case study in pile bearing capacity prediction" aims at developing an artificial neural network (ANN) for regression analysis. The ANN model is developed in Excel Visual Basic for Applications (VBA) to facilitate its practical implementations. The capability of the developed ANN program has been tested with the task of pile bearing capacity prediction.

    pdf7p nhanchienthien 25-07-2023 10 5   Download

  • Continued part 1, part 2 of ebook "Geotechnical engineering (Revised third edition)" provides readers with content including: settlement analysis; compaction of soil; lateral earth pressure and stability of retaining walls; bearing capacity; shallow foundations; pile foundations; soil stabilisation; soil exploration; caissons and well foundations; elements of soil dynamics and machine foundations;...

    pdf537p dieptieuung 19-07-2023 9 5   Download

  • There are researches about the behavior of pile under static loadings, but there are few experimental about dynamic behavior of the pile under dynamic excitations. Therefore, this study will focus on the behavior of pile for both cases in order to confirm the bearing capacity of the pile.

    pdf3p vipriyankagandhi 27-07-2022 7 1   Download

  • The paper presents the results of applying artificial intelligence methods in determining the pile bearing capacity. In this study, an artificial intelligence model namely random forest was developed and applied in pile bearing capacity prediction. The random forest model architecture is optimized by the grid search technique to find the best model.

    pdf8p vimarillynhewson 17-05-2022 7 2   Download

  • This paper firstly studies how reliable the SPT data can predict the physical and mechanical properties; secondly, the soil strength is determined in terms of corrected N-SPT values, and finally the bearing capacity of a pile penetrating cohesion soil.

    pdf20p nguaconbaynhay11 16-04-2021 17 1   Download

  • In this study, the main problem is to pair mainly on the pile load capacity according to the foundation soil and the pile structure with the theoretical basis of forecasting the pile load capacity currently mainly applied according to TCVN 10304-2014, TCVN11823: 2017 and TCVN7888: 2014.

    pdf11p nguaconbaynhay10 19-02-2021 16 1   Download

  • This research shows the influence of pile cap on bearing capacity of pile foundation, especially pile groups of shaft resistance. Using PLAXIS-3D FOUNDATION sofware to simulate a actual application with 4 piles in groups and assumption for 7 stiffness modulus of soil under pile cap. The output calculation expresses that in both the cap and the pile carrying the load. The cap is necessary to spread the vertical and horizontal loads and any overturning moments to all the piles in group and transfer load to soil underneath.

    pdf5p bethuy1990 20-11-2015 51 6   Download

  • Deep Foundations 32.1 32.2 Introduction Classification and Selection Typical Foundations • Typical Bridge Foundations • Classification • Advantages/ Disadvantages of Different Types of Foundations • Characteristics of Different Types of Foundations • Selection of Foundations 32 32.3 Design Considerations Design Concept • Design Procedures • Design Capacities • Summary of Design Methods • Other Design Issues • Uncertainty of Foundation Design 32.

    pdf46p naunho 27-12-2010 120 16   Download

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