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Probabilistic slope stability analysis of Heavy-haul freight corridor using a hybrid machine learning paradigm
With the rising freight demand, specialized heavy-haul railway corridors allow heavier trains
to transport heavy freight, improving productivity and lowering unit costs. Generally, a heavy …
to transport heavy freight, improving productivity and lowering unit costs. Generally, a heavy …
Comparative and parametric study of AI-based models for risk assessment against soil liquefaction for high-intensity earthquakes
An effort has been made to perform a detailed characterization of fine-grained soils
considering the relative significance of plasticity index for liquefaction risk assessment of the …
considering the relative significance of plasticity index for liquefaction risk assessment of the …
[HTML][HTML] Hybrid ensemble model for predicting the strength of FRP laminates bonded to the concrete
The goal of this work was to use a hybrid ensemble machine learning approach to estimate
the interfacial bond strength (IFB) of fibre-reinforced polymer laminates (FRPL) bonded to …
the interfacial bond strength (IFB) of fibre-reinforced polymer laminates (FRPL) bonded to …
Probabilistic slope stability analysis on a heavy-duty freight corridor using a soft computing technique
This study overviews how to strengthen railway embankments using a geo-grid in the
cohesive soil embankment layer and the Bishop method to determine a safety factor using …
cohesive soil embankment layer and the Bishop method to determine a safety factor using …
[HTML][HTML] PCA-based hybrid intelligence models for estimating the ultimate bearing capacity of axially loaded concrete-filled steel tubes
In order to forecast the axial load-carrying capacity of concrete-filled steel tubular (CFST)
columns using principal component analysis (PCA), this work compares hybrid models of …
columns using principal component analysis (PCA), this work compares hybrid models of …
Influence of variation of soil properties in bearing capacity and settlement analysis of a strip footing using random finite element method
This study analyzes bearing capacity and settlement for a strip footing at the proposed nit
Patna Bihta campus site. It uses the Random Finite Element Method (RFEM) based …
Patna Bihta campus site. It uses the Random Finite Element Method (RFEM) based …
[HTML][HTML] A hybrid SVR-Based prediction model for the Interfacial Bond Strength of Externally Bonded FRP laminates on grooves with concrete prisms
The current work presents a comparative study of hybrid models that use support vector
machines (SVMs) and meta-heuristic optimization algorithms (MOAs) to predict the ultimate …
machines (SVMs) and meta-heuristic optimization algorithms (MOAs) to predict the ultimate …
Quantification of variability of shear and interface shear parameters of soils and its application to stability of veneer cover slopes
The stability of soil slopes is governed by the shear strength parameters including cohesion
(c) and angle of internal friction (ϕ). Stability also depends on the interface shear strength …
(c) and angle of internal friction (ϕ). Stability also depends on the interface shear strength …
[HTML][HTML] Reuse of Drilling Waste Slurry as the Grouting Material for the Real-Time Capsule Grouting Technique
A large amount of waste slurry is generated during construction, but direct sedimentation
and transportation increase construction costs. Improper treatment leads to ecological and …
and transportation increase construction costs. Improper treatment leads to ecological and …
Environmental risks associated with quarry activities and its anthropogenic changes in Weija Hills, Ga South Municipal, Ghana
Quarrying has become an important socio-economic activity in many societies as it provides
several services for human well-being. Weija Hills at the Ga South Municipality in Ghana …
several services for human well-being. Weija Hills at the Ga South Municipality in Ghana …