H. Ibrahim

发表

Stabilization of high-plasticity silt using waste brick powder

A. H. Sherwani, Rizgar A. Blayi, H. Ibrahim, 2020, SN Applied Sciences.

Influence of Rock Powder on the Geotechnical Behaviour of Expansive Soil

A. H. Sherwani, Rizgar A. Blayi, H. Ibrahim, 2021 .

Preliminary experimental investigation on the inundating-induced collapse in collapsible soils improved by encased sand column

A. Hasan, H. Ibrahim, S. Abdulhamid, 2021, Geomechanics and Geoengineering.

Forecasting tunnel boring machine penetration rate using LSTM deep neural network optimized by grey wolf optimization algorithm

T. Rashid, A. Mahmoodzadeh, M. Mohammadi, 2022, Expert Syst. Appl..

Correlation of Shear Wave Velocity with Spt-n for A Tower- Building Site at Erbil City

H. Ibrahim, Y. Mawlood, Ahmed Hasan, 2020, The Journal of the University of Duhok.

Presenting the best prediction model of water inflow into drill and blast tunnels among several machine learning techniques

Mokhtar Mohammadi, Mohammad Khishe, Arsalan Mahmoodzadeh, 2021, Automation in Construction.

Mechanical Properties of Concrete Using Iron Waste as a Partial Replacement of Sand

H. Ibrahim, K. M. Noori, 2018 .

Improving the geotechnical properties of high expansive clay using limestone powder

Y. Alshkane, H. Ibrahim, Y. Mawlood, 2020, Innovative Infrastructure Solutions.

Strength improvement of expansive soil by utilizing waste glass powder

Rabar H. Faraj, A. Daraei, A. H. Sherwani, 2020 .

Using waste glass powder for stabilizing high-plasticity clay in Erbil city-Iraq

Y. Alshkane, H. Ibrahim, Y. Mawlood, 2019, International Journal of Geotechnical Engineering.

Dynamic prediction models of rock quality designation in tunneling projects

A. Mahmoodzadeh, M. Mohammadi, H. Ibrahim, 2021 .

Forecasting sidewall displacement of underground caverns using machine learning techniques

Mokhtar Mohammadi, Arsalan Mahmoodzadeh, Hawkar Hashim Ibrahim, 2021 .

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

Ahmed M. A. Salih, H. Ibrahim, Y. Mawlood, 2021, Arabian Journal of Geosciences.

Dynamic reduction of time and cost uncertainties in tunneling projects

Mokhtar Mohammadi, Arsalan Mahmoodzadeh, Hawkar Hashim Ibrahim, 2021 .

Modeling and Statistical Evaluations of Unconfined Compressive Strength and Compression Index of the Clay Soils at Various Ranges of Liquid Limit

H. Ibrahim, A. Mohammed, Y. Mawlood, 2022 .

Prediction of minimum horizontal stress in oil wells using recurrent neural networks

A. Mahmoodzadeh, M. Mohammadi, Hunar Farid Hama Ali, 2023, Geoenergy Science and Engineering.

Machine learning forecasting models of disc cutters life of tunnel boring machine

Mokhtar Mohammadi, Mohammad Khishe, Hoger Mahmud, 2021 .

Artificial intelligence forecasting models of uniaxial compressive strength

A. Mahmoodzadeh, M. Mohammadi, Hunar Farid Hama Ali, 2020 .

Estimating the initial fracture energy of concrete using various machine learning techniques

A. Mahmoodzadeh, M. Mohammadi, H. Ibrahim, 2023, Engineering Fracture Mechanics.

Tunnel geomechanical parameters prediction using Gaussian process regression

Mokhtar Mohammadi, Tarik A. Rashid, Arsalan Mahmoodzadeh, 2021 .