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] 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 …

[HTML][HTML] Geotechnical and microstructural analysis of high-volume fly ash stabilized clayey soil and machine learning application

MF Noaman, M Haq, MA Khan, K Ali… - Case Studies in …, 2024 - Elsevier
The weak soil stabilization using solid wastes is one of the most common solutions for
improving geotechnical characteristics as well as for problematic waste dumping in landfills …

Analytical solutions of the tunnels under the fault creeping by elastic foundation beam model with considering tangential interaction

M Zhao, L Xu, J Huang, X Du, H Li - Soil Dynamics and Earthquake …, 2023 - Elsevier
The fault zone plays a vital role in the internal force responses of the tunnel. An analytical
solution of the tunnel under the fault zone creeping is developed by taking account of normal …

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 …

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 …

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 …

Robustness in deep learning models for medical diagnostics: security and adversarial challenges towards robust AI applications

H Javed, S El-Sappagh, T Abuhmed - Artificial Intelligence Review, 2025 - Springer
The current study investigates the robustness of deep learning models for accurate medical
diagnosis systems with a specific focus on their ability to maintain performance in the …

Advanced finite element limit analysis and machine learning for assessing the stability of square tunnels in rock slope

A Kumar, VB Chauhan - Transportation Infrastructure Geotechnology, 2024 - Springer
This study investigates the stability of an unlined square-shaped tunnel in a rock slope
subjected to a uniformly distributed surcharge loading using numerical simulation based on …

[HTML][HTML] Three-dimensional seismic face stability of shield tunnels in undrained clay

M Davoodi, S Senent, A Keshavarz, R Jimenez - Underground Space, 2024 - Elsevier
Tunnel face stability has received increasing research interest over the past few decades.
However, computing time-efficient and safe three-dimensional solutions under seismic …