State of art soft computing based simulation models for bearing capacity of pile foundation: a comparative study of hybrid ANNs and conventional models

M Kumar, V Kumar, BG Rajagopal, P Samui… - Modeling Earth Systems …, 2023 - Springer
Safety has been always challenging in geotechnical engineering owing to the inherently
variable nature of the soil. In pile foundations, conducting field tests is highly expensive and …

Optimizing an ANN model with genetic algorithm (GA) predicting load-settlement behaviours of eco-friendly raft-pile foundation (ERP) system

L Liu, H Moayedi, ASA Rashid, SSA Rahman… - Engineering with …, 2020 - Springer
Eco-friendly raft-pile foundation (ERP) system is one of the most recent developed types of
pile foundations that the original materials can be provided from local Bakau. A precise …

Artificial intelligence design charts for predicting friction capacity of driven pile in clay

H Moayedi, S Hayati - Neural Computing and Applications, 2019 - Springer
In this study, five nonlinear prediction tools are used to model and predict the friction
capacity of driven piles installed in clay including classical support vector machine (SVM) …

Support vector machine to predict the pile settlement using novel optimization algorithm

Q Ge, C Li, F Yang - Geotechnical and Geological Engineering, 2023 - Springer
Project Immunization, like piled construction, requires considerations that make them safe
during the period of operation. Pile Settlement (PS), a vital issue in projects, has attracted …

Data-Driven Prediction of Maximum Settlement in Pipe Piles under Seismic Loads

SE Rasheed, D Al-Jeznawi, MAQ Al-Janabi… - Journal of Marine …, 2024 - mdpi.com
The structural stability of pipe pile foundations under seismic loading stands as a critical
concern, demanding an accurate assessment of the maximum settlement. Traditionally, this …

Using Novel Optimization Algorithms with Support Vector Regression to Estimate Pile Settlement Rates

L Sun, T Li - Indian Geotechnical Journal, 2024 - Springer
To ensure structure safety, such as bridge structures, artificial intelligence ways are the most
helpful way to predict failure factors such as pile settlement estimation. Various methods are …

Using the integrated neural network of radial basis function (RBF) via optimization algorithms to estimate pile settlement range

R Jiang - Journal of Intelligent & Fuzzy Systems, 2022 - content.iospress.com
The Pile motion seems to be one of the most critical in pile failure that requires appraisal
before installing piles. The variables to estimate the Pile Settlement parameter, there are …

Modeling the pile settlement using the Integrated Radial Basis Function (RBF) neural network by Novel Optimization algorithms: HRBF-AOA and HRBF-BBO

M Zhang, Q Du, J Yang, S Liu - Journal of Intelligent & Fuzzy …, 2022 - content.iospress.com
The Pile movement is one of the most crucial matters in designing piles and foundations that
need to be estimated for any project failure. Over the variables used in forecasting Pile …

Investigating the Two Optimization Algorithms (GWO and ACO) Coupling with Radial Basis Neural Network to Estimate the Pile Settlement

E Assareh, R Poultangari - Advances in Engineering and …, 2023 - aeis.bilijipub.com
Immunizing projects such as piled bridges entails considerations that ensure safety over the
operation period. Pile Settlement (PS) which seems one of the most critical matters in …

Appraising the Pile Settlement rates by Support Vector Regression Optimized Using the Novel Optimization Algorithms

A Maris - Advances in Engineering and Intelligence Systems, 2023 - aeis.bilijipub.com
To ensure the safety of constructions such as bridge-owned structures, they must be
immunized for the operational period. Considering the Pile settlement (PS) factor has to be …