Machine learning prediction of the unconfined compressive strength of controlled low strength material using fly ash and pond ash
The sustainable use of industrial byproducts in civil engineering is a global priority,
especially in reducing the environmental impact of waste materials. Among these, coal ash …
especially in reducing the environmental impact of waste materials. Among these, coal ash …
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 …
disciplines, including mining, civil, and geotechnical engineering. It is beneficial to indirectly …
Stability of a rectangular trapdoor in three dimensions: A Gene expression programming method
This paper focuses on the stability analysis of three-dimensional rectangular trapdoors
beneath cohesive-frictional soils via three-dimensional finite element limit analysis (3D …
beneath cohesive-frictional soils via three-dimensional finite element limit analysis (3D …
Development of ANN-Based Metaheuristic Models for the Study of the Durability Characteristics of High-Volume Fly Ash Self-Compacting Concrete with Silica Fume
The construction of durable and sustainable infrastructure requires the use of industrial
byproducts such as fly ash (FA) and silica fume (SF) to enhance strength and durability. This …
byproducts such as fly ash (FA) and silica fume (SF) to enhance strength and durability. This …
[HTML][HTML] Optimization of ANN using metaheuristic algorithms for predicting failure envelope of ring foundations on anisotropic clay
This paper is concerned with the assessment of VHM failure envelopes of ring foundations
subjected to general loadings on anisotropic clay using adaptive three-dimensional finite …
subjected to general loadings on anisotropic clay using adaptive three-dimensional finite …
Regression Machine Learning Models for Probabilistic Stability Assessment of Buried Pipelines in Spatially Random Clays
B Chansavang, K Kounlavong, DR Kumar… - Arabian Journal for …, 2024 - Springer
The uplift capacity of pipelines buried in clay is a critical aspect of their structural integrity,
affecting their stability and performance under varying conditions. This study investigates the …
affecting their stability and performance under varying conditions. This study investigates the …
An application of coupling RAFELA and CatBoost model for tunnel stability prediction by considering the nonstationary random field of undrained shear strength
This study presents a novel machine learning framework for predicting the probability of
failure (PoF) of tunnels constructed in spatially random clays considering a soil strength …
failure (PoF) of tunnels constructed in spatially random clays considering a soil strength …
Compressive strength of bentonite concrete using state-of-the-art optimised XGBoost models
This study proposes an advanced soft-computing approach for predicting the compressive
strength (CS) of bentonite concrete using an optimised XGBoost model. Bentonite is valued …
strength (CS) of bentonite concrete using an optimised XGBoost model. Bentonite is valued …