Predicting the chemical and mechanical properties of gypseous soils using different simulation technics

Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance

(2021) Jie Zeng et al.   ENGINEERING WITH COMPUTERS

A novel systematic and evolved approach based on XGBoost-firefly algorithm to predict Young’s modulus and unconfined compressive strength of rock

(2021) Jing Cao et al.   ENGINEERING WITH COMPUTERS

Comparison of artificial neural network (ANN) and linear regression modeling with residual errors to predict the unconfined compressive strength and compression index for Erbil City soils, Kurdistan-Iraq

(2021) Yousif Mawlood et al.   Arabian Journal of Geosciences

Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization

(2020) Wengang Zhang et al.   Geoscience Frontiers

Swelling pressures and size effect correlations of expansive soils

(2020) Yousif Ismael Mawlood et al.   JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS

Artificial Neural Network and NLR techniques to predict the rheological properties and compression strength of cement past modified with nanoclay

(2020) Ahmed Mohammed et al.   Ain Shams Engineering Journal

Experimental investigation on the bearing capacity of skirted foundations on submerged gypseous soil

(2019) Mahmood R. Mahmood et al.   MARINE GEORESOURCES & GEOTECHNOLOGY

Large-Scale Model Swelling Potential of Expansive Soils in Comparison with Oedometer Swelling Methods

(2019) Yousif Ismael Mawlood et al.   Iranian Journal of Science and Technology-Transactions of Civil Engineering

Prediction of the wetting-induced collapse behaviour using the soil-water characteristic curve

(2018) Wan-Li Xie et al.   JOURNAL OF ASIAN EARTH SCIENCES

Evaluation of the Undrained Shear Strength of Organic Soils from a Dilatometer Test Using Artificial Neural Networks

(2018) Zbigniew Lechowicz et al.   Applied Sciences-Basel

Geotechnical properties of lime-treated gypseous soils

(2014) A. Aldaood et al.   APPLIED CLAY SCIENCE

Wetting and drying collapse behaviour of collapsible gypseous soils treated by grouting

(2014) Mohammad Y. Fattah et al.   Arabian Journal of Geosciences

Hyperbolic rheological model with shear stress limit for acrylamide polymer modified bentonite drilling muds

(2014) C. Vipulanandan et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Impact of freeze–thaw cycles on mechanical behaviour of lime stabilized gypseous soils

(2013) Abdulrahman Aldaood et al.   COLD REGIONS SCIENCE AND TECHNOLOGY

Prediction of shear strength parameters of soils using artificial neural networks and multivariate regression methods

(2012) G.R. Khanlari et al.   ENGINEERING GEOLOGY

Estimation of surface shear strength in Zagros region of Iran — A comparison of artificial neural networks and multiple-linear regression models

(2009) B. Khalilmoghadam et al.   GEODERMA