[HTML][HTML] A generic framework for geotechnical subsurface modeling with machine learning

J Xie, J Huang, C Zeng, S Huang, GJ Burton - Journal of Rock Mechanics …, 2022 - Elsevier
This study introduces a generic framework for geotechnical subsurface modeling, which
accounts for spatial autocorrelation with local mapping machine learning (ML) methods …

A review on the feasibility and application of geospatial techniques in geotechnical engineering field

F Khan, B Das, SRK Mishra, M Awasthy - Materials Today: Proceedings, 2022 - Elsevier
Abstract Geographic Information System (GIS) a new tool for digital data management,
Graphical representation of areas with actual location, analysis, planning, designing of data …

Spatial interpolation of SPT with artificial neural network

S Dauji, A Rafi - Engineering Journal, 2021 - engj.org
In large infrastructure projects, initial geotechnical investigation is conducted at large
spacing (~ 100m to 250m), in which SPT is the common test performed while dynamic tests …

Bond strength of corroded reinforcement in concrete: Neural and tree based approaches

S Dauji - Structural Monitoring and Maintenance, 2021 - koreascience.kr
Reinforcement corrosion affects the existing concrete structures, particularly in the coastal
regions. One of the effects of corrosion of reinforcement is degradation of the bond stress …

Evaluation of simple algorithms for spatial interpolation of salinity hazard parameter in natural waters

A Rafi, S Dauji, T Keesari - Journal of Earth System Science, 2023 - Springer
Aggressive cultivation practised across the Indian subcontinent to meet the growing food
demands results in the groundwater at many places being severely affected by salinity, and …

Comparison of NDT Data Fusion for Concrete Strength using Decision Tree and Artificial Neural Network: CONCRETE NDT DATA FUSION WITH DT AND ANN

S Dauji - Journal of Scientific & Industrial Research (JSIR), 2023 - or.niscpr.res.in
Abstract Fusion of Non-Destructive Test (NDT) data results in more accurate estimation of
concrete strength when compared to any single NDT data. Estimation of concrete strength …

GIS-based mapping of geotechnical and geophysical properties of Lahore soils

M Daniyal, GM Sohail, HMA Rashid - Environmental Earth Sciences, 2023 - Springer
To accurately determine subsurface soil type and condition for engineering projects,
structural safety, and foundation design under static and seismic loading conditions, it is …

Random number generation and other approaches for development of geotechnical correlations: limitations, uncertainties and future scope

S Dauji - International Journal of Earthquake and Impact …, 2024 - inderscienceonline.com
Correlation expressions are extensively employed to estimate unknown static or dynamic
soil/rock parameters from known or easily measured variables and these derived properties …

[HTML][HTML] Decision tree for estimating groundwater contaminant through proxies considering seasonality and soil saturation

S Dauji, T Keesari - Environmental Monitoring and Assessment, 2021 - Springer
Chloride ion is an important indicator of water quality. Field measurement of chloride is
difficult whereas laboratory measurement is both time-consuming and chemical intensive …

Estimation of Vs30 bounds from limited soil data considering uncertainty: A practical approach

S Dauji - International Journal of Geotechnical Earthquake …, 2022 - igi-global.com
According to design standards, uncertainty of dynamic foundation parameters are accounted
in soil structure interaction (SSI) analysis by considering best estimate, upper and lower …