A comparative study of prediction of compressive strength of ultra‐high performance concrete using soft computing technique

R Kumar, B Rai, P Samui - Structural Concrete, 2023 - Wiley Online Library
Concrete which is the most commercialized construction material and thus it plays a key role
in this era of development and hence its evolution is of utmost importance and therefore the …

Bearing capacity of ring footings in anisotropic clays: FELA and ANN

DK Nguyen, TP Nguyen, C Ngamkhanong… - Neural Computing and …, 2023 - Springer
A novel investigation of the bearing capacity of ring footings embedded in undrained
anisotropic clays using a new hybrid soft computation technique that cooperates between …

[HTML][HTML] Stability evaluation of elliptical tunnels in natural clays by integrating FELA and ANN

W Jitchaijaroen, W Wipulanusat… - Results in …, 2023 - Elsevier
The stability of tunnels in clayey soil is a major concern for underground space technology.
Clay has anisotropy in shear strength induced by depositional and sedimentation …

[HTML][HTML] Machine learning approaches for stability prediction of rectangular tunnels in natural clays based on MLP and RBF neural networks

W Jitchaijaroen, S Keawsawasvong… - Intelligent Systems with …, 2024 - Elsevier
In underground space technology, the issue of tunnel stability is a fundamental concern that
significantly causes catastrophe. Owing to sedimentation and deposition processes, the …

Data-driven prediction of stability of rock tunnel heading: an application of machine learning models

C Ngamkhanong, S Keawsawasvong… - Infrastructures, 2022 - mdpi.com
In this paper, Artificial Neural Networks (ANN) have been utilized to predict the stability of a
planar tunnel heading in rock mass based on the well-defined Hoek-Brown (HB) yield …

Application of ANN and FELA for predicting bearing capacity of shell foundations on sand

VQ Lai, W Jitchaijaroen, S Keawsawasvong… - International Journal of …, 2023 - Springer
In this study, the artificial neural network (ANN) model has been employed to create a data-
driven prediction for the bearing capacity factor of shell foundations under both axisymmetric …

Stability analysis of buried pipelines under combined uplift and lateral forces using FELA and ANN

K Kounlavong, JT Chavda, P Jamsawang… - Applied Ocean …, 2023 - Elsevier
In this paper, the effective intelligent system based on artificial neural networks (ANNs) and
the finite element limit analysis (FELA) is developed to predict the undrained uplift capacity …

Improved determination of the S-wave velocity of rocks in dry and saturated conditions: Application of machine-learning algorithms

M Rezaei, SR Ahmadi, H Nguyen… - Transportation …, 2024 - Elsevier
The determination of S-wave velocity (V s) is of significant importance in various engineering
disciplines, including mining, civil, and geotechnical engineering. It is beneficial to indirectly …

Physics-based and data-driven modeling for basal stability evaluation of braced excavations in natural clays

K Kounlavong, S Keawsawasvong, W Wipulanusat… - Heliyon, 2023 - cell.com
The design of fully braced excavation of underground works, whether in rural or urban
areas, is important to ensure that the design of fully braced support is safe, particularly in …

Stability Design Charts and Equations for Rectangular Tunnels Using Terzaghi's Modified Stability Factors and Machine Learning

NT Duong, J Shiau, T Promwichai… - International Journal …, 2024 - ascelibrary.org
The objective of this study is to investigate the stability of plane strain rectangular tunnels
under the effects of soil cohesion, surcharge loading, and soil unit weight. The novelty of the …