Gene expression programming-based multivariate model for earth infrastructure: predicting ultimate bearing capacity of rock socketed shafts in layered soil-rock strata
The evaluation of ultimate bearing capacity (Qu) of rock socketed shafts (RSSs) is crucial for
the design of foundation systems. This study proposes a new data-driven multivariate …
the design of foundation systems. This study proposes a new data-driven multivariate …
Geospatial intelligence in geotechnical engineering: a comprehensive investigation into SPT-N, soil types, and undrained shear strength for enhanced site …
The primary challenges in metropolitan planning, selection of sites, and developing
preemptive safety measures lie in the characterization and precise appraisal of underground …
preemptive safety measures lie in the characterization and precise appraisal of underground …
Prediction of soil compaction parameters through the development and experimental validation of Gaussian process regression models
The laboratory determination of maximum dry density (ρ dmax) and optimum moisture
content (w opt) of soils requires considerable time and energy. Efforts have been made in …
content (w opt) of soils requires considerable time and energy. Efforts have been made in …
Integrative Geospatial Analysis: Unveiling Insights through GIS Modeling and Statistical Evaluation of SPT‐N and Soil Types Data of New Kabul City, Afghanistan
The precise evaluation of subsurface soil information is paramount for effective infrastructure
design and planning. Geotechnical soil maps (GSMs) play a pivotal role in estimating …
design and planning. Geotechnical soil maps (GSMs) play a pivotal role in estimating …
Predictive modelling of cohesion and friction angle of soil using gene expression programming: a step towards smart and sustainable construction
MN Nawaz, B Alshameri, Z Maqsood… - Neural Computing and …, 2024 - Springer
To achieve smart and sustainable construction goals, machine learning (ML) techniques can
serve as a cost-effective and efficient substitute for labour-intensive, laboratory, or in situ …
serve as a cost-effective and efficient substitute for labour-intensive, laboratory, or in situ …
Mathematical formulation for predicting moisture damage indices of asphalt mixtures treated with sustainable waste plastic modifiers using gene expression …
Flexible pavements are susceptible to rutting, fatigue, and moisture damage failures. As a
sustainable approach, waste plastic modifiers have been used to improve the moisture …
sustainable approach, waste plastic modifiers have been used to improve the moisture …
Predictive Genetic Programming Approaches for Swell-Shrink Soil Compaction
Genetic programming (GP) is a machine learning tool to predict the maximum dry density (ρ
dmax) as well as optimum water content (OMC) of expansive soils ('ρ dmax OMC-ES') in …
dmax) as well as optimum water content (OMC) of expansive soils ('ρ dmax OMC-ES') in …
[HTML][HTML] A comparative study of ground granulated blast furnace slag and bagasse ash incorporation on enhancing mechanical properties of expansive soil
Expansive soils swell when wet and shrink when dry, causing differential settlements that
can lead to structural failures in roads and buildings. In cases where these soils cannot be …
can lead to structural failures in roads and buildings. In cases where these soils cannot be …
Effect of multicollinearity in assessing the compaction and strength parameters of lime-treated expansive soil using artificial intelligence techniques
The current investigation introduces the optimal performance models for predicting the
optimum moisture content (OMC), maximum dry density (MDD), and confined compressive …
optimum moisture content (OMC), maximum dry density (MDD), and confined compressive …
Multivariate formulation to predict the frictional strength of fiber reinforced soils using gene expression programming
Modeling and prediction approaches have attracted much interest in recent years to
evaluate the efficiency of fiber reinforcement in improving the strength characteristics of …
evaluate the efficiency of fiber reinforcement in improving the strength characteristics of …