Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Geospatial and statistical interpolation of geotechnical data for modeling zonation maps of Islamabad, Pakistan
This study aims to create soil zonation maps (SZM) using a spatial interpolation approach
relying on vast geotechnical subsoil data gathered through field and laboratory analysis …
relying on vast geotechnical subsoil data gathered through field and laboratory analysis …
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 develo**
preemptive safety measures lie in the characterization and precise appraisal of underground …
preemptive safety measures lie in the characterization and precise appraisal of underground …
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 …
Statistical interpolation and spatial map** of geotechnical soil parameters of District Sargodha, Pakistan
This study employs spatial interpolation techniques based on extensive geotechnical sub-
soil data to develop geotechnical zonation maps for the district of Sargodha, Pakistan. The …
soil data to develop geotechnical zonation maps for the district of Sargodha, Pakistan. The …
Experimental study on shear strength behavior and numerical study on geosynthetic-reinforced cohesive soil slope
The successful application of geosynthetic reinforcement in granular soil motivates
additional research into the practicality of geosynthetics in cohesive soils. The shear …
additional research into the practicality of geosynthetics in cohesive soils. The shear …
Predictive modelling of cohesion and friction angle of soil using gene expression programming: a step towards smart and sustainable construction
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 …
Predictive modeling of Atterberg's limits of soil passing through sieve# 40 and# 200 using artificial neural networks and multivariate regression: advancing sustainable …
This study developed artificial intelligence models to predict Atterberg's limits, specifically
the liquid (LL) and plastic limits (PL), based on# 200 sieve analysis, which is a laborious and …
the liquid (LL) and plastic limits (PL), based on# 200 sieve analysis, which is a laborious and …
Utilizing undisturbed soil sampling approach to predict elastic modulus of cohesive soils: a Gaussian process regression model
This study addresses a critical issue of sample disturbance in predicting the elastic modulus
(E s) of soft cohesive soils using machine learning techniques. Traditional approaches either …
(E s) of soft cohesive soils using machine learning techniques. Traditional approaches either …