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A comparative study of prediction of compressive strength of ultra‐high performance concrete using soft computing technique
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 …
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
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 …
tunnel engineering due to its potential impact on adjacent structures. This review …
Bearing capacity of ring footings in anisotropic clays: FELA and ANN
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 …
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 …
significantly causes catastrophe. Owing to sedimentation and deposition processes, the …
Bearing capacity of conical footing on anisotropic and heterogeneous clays using FEA and ANN
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
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 …
tunnels in cohesive-frictional soils using the Mohr-Coulomb failure criteria. The study …