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 …

[HTML][HTML] Analyzing surface settlement factors in single and twin tunnels: a review study

CY Huat, DJ Armaghani, SH Lai, H Motaghedi… - Journal of Engineering …, 2024 - Elsevier
Surface settlement (SS) resulting from tunnel excavation operations is a critical concern in
tunnel engineering due to its potential impact on adjacent structures. This review …

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] 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 …

Bearing capacity of conical footing on anisotropic and heterogeneous clays using FEA and ANN

VQ Lai, J Shiau, CN Van, HD Tran… - Marine Georesources …, 2023 - Taylor & Francis
The paper presents axisymmetric FEA solutions for the bearing capacity of conical footings
embedded in anisotropic and inhomogeneous clays using NGI-ADP model. The bearing …

[HTML][HTML] 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 …

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 …

[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 models for predicting shear strength and identifying failure modes of rectangular RC columns

VT Phan, VL Tran, VQ Nguyen, DD Nguyen - Buildings, 2022 - mdpi.com
The determination of shear strength and the identification of potential failure modes are the
crucial steps in designing and evaluating the structural performance of reinforced concrete …

Innovative approaches for predicting seismic stability of circular and rectangular tunnels in cohesive-frictional soils using machine learning and finite element limit …

DT Tran, DR Kumar, S Keawsawasvong… - Modeling Earth Systems …, 2024 - Springer
This paper investigates the stability solutions for plane-strain circular and rectangular
tunnels in cohesive-frictional soils using the Mohr-Coulomb failure criteria. The study …