Using GA-ANFIS machine learning model for forecasting the load bearing capacity of driven piles
Journal of Science and Transport Technology, 2023 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.
D. D. Nguyen +4 more
semanticscholar +1 more source
CPT-Based Axial Capacity Design Method for Driven Piles in Clay
Journal of Geotechnical and Geoenvironmental Engineering, 2022 : There are clear advantages in the establishment of reliable, direct cone penetration test (CPT) based methods for assessment of the axial capacity of driven piles.
B. Lehane +13 more
semanticscholar +1 more source
The axial behaviour of piles driven in chalk
Geotechnique, 2023 This paper describes research into the poorly understood axial behaviour of piles driven in chalk. Comprehensive dynamic and monotonic axial testing on 27, mostly instrumented, piles undertaken for the ALPACA Joint Industry Projects is reported and ...
R. Jardine +8 more
semanticscholar +1 more source
Forecasting the Bearing Capacity of the Driven Piles Using Advanced Machine-Learning Techniques
Applied Sciences, 2021 Estimating the bearing capacity of piles is an essential point when seeking for safe and economic geotechnical structures. However, the traditional methods employed in this estimation are time-consuming and costly. The current study aims at elaborating a
M. A. Benbouras +4 more
semanticscholar +1 more source
Correlation between Pile Displacement from Pile Load Tests and FE Modelling: Case Study of Piles in Cawthorne Channel Area in Nigeria [PDF]
JES: Journal of Engineering Sciences, 2023 Pile load static tests are used to confirm that a pile would not exceed a prescribed displacement at service or ultimate limit load. In this work, 600mm diameter steel piles were driven to 30m depths at the project site in the Niger Delta region of ...
Ebuka Nwankwo
doaj +1 more source
Artificial neural network model for predicting load capacity of driven piles
Research, Society and Development, 2021 In geotechnics, several models, empirical or not, have been proposed for the calculation of load capacity in deep foundations. These models run mainly through physical assumptions and construction of approximations by mathematical models.
Alcineide Pessoa +3 more
semanticscholar +1 more source
Efficiency of piles of various cross-sectional forms [PDF]
Инженерно-строительный журнал, 2013 According to the authors the lack of evaluation methods for efficiency of pile behavior leads to an increased degree of randomness in the selection of type, material, shape and placement of piles, and, as a consequence, to overspending the material ...
G.Ya. Bulatov, N.B. Kolosova
doaj +1 more source
Characterisation of sand-steel interface shearing behaviour for the interpretation of driven pile behaviour in sands [PDF]
E3S Web of Conferences, 2019 The installation and loading of steel piles driven in sands modifies both the piles' surface topography and the characteristics of the granular materials present adjacent to the pile shaft.
Liu Tingfa +4 more
doaj +1 more source
Behaviour of jacked and driven piles in sandy soil [PDF]
, 2006 As an alternative to conventional dynamic pile installation methods, pile jacking is an environmentally friendly technique that could become more widely accepted.
Chan, ST +4 more
core +1 more source
Installation Behavior of Open Ended and Closed Ended Piles with Torque Application [PDF]
, 2018 Screw piles offer several potential benefits for deployment offshore for renewable energy developments. They are easy to install, have the potential to achieve large capacity and generate low noise and vibration during installation.
Brown, Michael +2 more
core +2 more sources