Sazan Abdulhamid

Sazan Abdulhamid
Salahaddin University - Erbil | SUH · Department of Civil Engineering

Master of Engineering

About

14
Publications
1,478
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113
Citations

Publications

Publications (14)
Article
Geology conditions are crucial in decision-making during the planning and design phase of a tunnel project. Estimation of the geology conditions of road tunnels is subject to significant uncertainties. In this work, the effectiveness of a novel regression method in estimating geological or geotechnical parameters of road tunnel projects was explore...
Article
The necessity of estimating the time and cost required for tunnel construction has led to extensive research in this regard. Since geological conditions are significant factors in terms of time and cost of road tunnels, considering these conditions is crucial. Uncertainties about the geological conditions of a tunnel alignment cause difficulties in...
Article
Full-text available
To accurately estimate the rock shear strength parameters of cohesion (C) and friction angle (φ), triaxial tests must be carried out at different stress levels so that a failure envelope can be obtained to be linearized. However, this involves a higher budget and time requirements that are often unavailable at the early stage of a project. To addre...
Article
Time and cost of construction are key factors in decision-making during a tunnel project's planning and design phase. Estimations of time and cost of tunnel construction projects are subject to significant uncertainties caused by uncertain geotechnical and geological conditions. The Gaussian Process Regression (GPR) technique for predicting ground...
Article
Full-text available
Because of the disasters associated with slope failure, the analysis and forecasting of slope stability for geotechnical engineers are crucial. In this work, in order to forecast the factor of safety (FOS) of the slopes, six machine learning techniques of Gaussian process regression (GPR), support vector regression, decision trees, long-short term...
Article
Full-text available
Currently, the primary source of pollution is crude oil production. It has dramatic consequences for farmlands, communities, and construction materials for earthworks. The main aims of the present study were to reduce the level of pollution, caused by oil production, in the Khurmala soil and then reuse it as a construction material. Soil remediatio...
Article
The impact of uncertainty on decision-making is increasingly prioritized, especially for large geotechnical projects such as tunnels. In this article, the effects of geological/geotechnical uncertainties in tunnel construction time and costs were reduced. The forecasting of geological/geotechnical conditions in a tunnel project was based on the Mar...
Article
This study aims to propose four Machine Learning methods of Gaussian process regression (GPR), support vector regression (SVR), decision trees (DT), and K-nearest neighbors (KNN) to predict disc cutter’s life of TBM. 200 datasets monitored during the Alborz service tunnel construction in Iran, including TBM operational parameters, geometry, and geo...
Article
During the construction of a tunnel, water inflow is one of the most common and complex geological disasters and has a large impact on the construction schedule and safety. When serious water inflows occur in tunnel construction, huge economic losses and casualties can occur. Therefore, this phenomenon's prediction is an important task to ensure th...
Article
Machine learning (ML) is becoming an appealing tool in various fields of civil engineering, such as tunneling. A very important issue in tunneling is to know the geological condition of the tunnel route before the construction. Various geological and geotechnical parameters can be considered according to data availability to define tunnels' ground...
Article
The uniaxial compressive strength (UCS) is a vital rock geomechanical parameter widely used in rock engi-neering projects such as tunnels, dams, and rock slope stability. Since the acquisition of high-quality core samples is not always possible, researchers often indirectly estimate these parameters. The main objective of the present study is to e...
Article
Sidewall displacement is a vital task in underground caverns that can jeopardize the construction of these structures at risk and predict this event to provide the appropriate and timely solutions to deal with it can be very important. This article aims to predict sidewall displacement of the underground caverns using six machine learning approache...
Article
The cost and time estimation play a vital role in successfully completing a tunnel construction, however in most cases the estimation falls short compared to the actual time and cost that a tunnel construction consumes due to a number of geological and geotechnical reasons. This creates uncertainties in tunnel construction in terms time and cost. I...
Article
Full-text available
An experimental study was carried out for evaluating the effectiveness of the stone column on improvement some of the geotechnical properties of a soft soil ground. Detailed laboratory investigation was conducted for understanding the overall behaviour of single stone column, via establishing a model, for testing a soft soil reinforced with stone c...

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