Abdelhalim Azam

Abdelhalim Azam

Mansoura University

H-index: 14

Africa-Egypt

Abdelhalim Azam Information

University

Mansoura University

Position

Assistant Professor public Works Engineering Department

Citations(all)

636

Citations(since 2020)

518

Cited By

265

hIndex(all)

14

hIndex(since 2020)

14

i10Index(all)

17

i10Index(since 2020)

15

Email

University Profile Page

Mansoura University

Abdelhalim Azam Skills & Research Interests

pavement modelling

pavement performance

unsaturated pavement

sustainability

innovative materials

Top articles of Abdelhalim Azam

Life cycle assessment and pavement performance of recycled aggregates in road construction

Integrating environmental goals in the construction of infrastructure has attracted great attention over the past two decades. The use of construction and demolished waste materials (C&D) as a base layer for pavement structures gained popularity as a sustainable alternative to virgin aggregates (VA). An experimental testing program was designed to investigate several recycled materials as a potential replacement to VA in flexible pavements base layer. The testing program included routine tests, matric suction, static, and repeated load triaxial tests to measure the general engineering properties and evaluate the material performance under static and cyclic loading. The results of the laboratory testing program were employed to predict the pavement performance utilizing different combinations of C&D waste as a base layer for flexible pavement structures using the AASHTOWare Pavement ME Design at different …

Authors

Abdelhalim Azam,Alaa Gabr,Helal Ezzat,Mohamed Arab,Talal Obaid Alshammari,Emran Alotaib,Waleed Zeiada

Journal

Case Studies in Construction Materials

Published Date

2024/7/1

Applications of Terrestrial Laser Scanner in Detecting Pavement Surface Defects

An entire roadway system represents a crucial element in the sustainable urban transportation planning process. Pavement surfaces are at continual risk of accumulating serious deteriorations and defects throughout their service life due to traffic loading and environmental impact. Since roadway networks are growing rapidly, relying on visual pavement inspection is not always feasible. Therefore, this paper proposes an effective assessment method for evaluating flexible pavement surface distresses using a terrestrial laser scanner (TLS) and calculating the pavement condition index (PCI). The proposed terrestrial laser scanner method results in road condition assessments becoming faster, safer, and more systematic. It also aims to determine the geometric characteristics of the investigated roads. A major road in Egypt was selected to test the proposed technique and compare it with the traditional visual inspection method. The evaluation was carried out to assess different types of pavement distress, such as cracking, rutting, potholes, and raveling distresses. Every pavement distress was defined in terms of surface area, the width of the crack, and intensity, and the data from TLS were then processed by MAGNET COLLAGE software. A MATLAB program was developed to match the TLS observational data to plane equations. PAVER software was also used to determine the PCI values for each TLS position. The revealed distresses for the investigated road using TLS observations reveal a significant improvement in determining flexible pavement distresses and geometric characteristics.

Authors

Abdelhalim Azam,Abdulaziz H Alshehri,Mohammad Alharthai,Mona M El-Banna,Ahmed M Yosri,Ashraf AA Beshr

Journal

Processes

Published Date

2023/4/30

A hybrid Cycle GAN-based lightweight road perception pipeline for road dataset generation for Urban mobility

One of the major problems that cause continual trouble in deep learning networks is that training a large network requires massive labelled datasets. The preparation of a massive labelled dataset is a cumbersome task and requires lot of human interventions. This paper proposes a novel generator network ‘Sim2Real’ transfer is a recent and fast-developing field in machine learning used to bridge the gap between simulated and real data. Training with simulated datasets often converges due to its size but fails to generalize real-world applications. Simulated datasets can be used to train and test deep learning models, enables the development and evaluation of new algorithms and architectures. By simulating road dataset, researchers can generate large amounts of realistic road-traffic dataset that can be used to study and understand several problems such as vehicular object tracking and classification, traffic situation analysis etc. The main advantage of such a transfer algorithm is to use the abundance of a simulated dataset to generate huge realistic-looking datasets to solve data-intense tasks. This work presents a novel, robust sim2real algorithm that converts the labels of a semantic segmentation map to a realistic-looking street view using the Cityscapes dataset and aims to achieve robust urban mobility for smart cities. Further, the generalizability of the Cycle Generative Adversarial Network (CycleGAN) architecture was tested by using an origami robot dataset for sim2real transfer. We show that the results were found to be qualitatively satisfactory for different traffic analysis applications. In addition, road perception was done using a …

Authors

Balaji Ganesh Rajagopal,Manish Kumar,Abdulaziz H Alshehri,Fayez Alanazi,Ahmed Farouk Deifalla,Ahmed M Yosri,Abdelhalim Azam

Journal

Plos one

Published Date

2023/11/30

Operational and Environmental Assessment of Weaving Section for Urban Roads: Case Study, Aljouf Region, KSA

The urban weaving sections are more complex due to the various disturbing elements within the weaving section, such as lane-change situations. These turbulences reduced road capacity and increased vehicle exhaust emissions. The Highway Capacity Manual (HCM 2010) has a methodology for the analysis of weaving sections for the free highways; the methodology for the analysis of urban roads is not investigated in the HCM. Therefore, the main objective of this research is to present a systematic analysis of the factors that could potentially affect the capacity and exhaust emissions of urban weaving sections. These factors include the main road traffic volume, the weaving section length (WL), the volume ratio (VR), and the percentage of heavy vehicles (HV%). Two weaving sections were selected in the Aljouf Region, KSA; the Sakakah–Dumat Al-Jandal road. The collected data were used in the development of microsimulation using VISSIM models. The results indicated that increasing the volume ratio and percentage of heavy vehicles caused a decrease in capacity and an increase in exhaust emissions. It was discovered that the increase of weaving length resulted in increasing the capacity. However, increasing the weaving length was not beneficial for reducing exhaust emissions. Finally, regression models were developed for capacity estimation and emissions prediction of urban weaving sections based on weaving length and volume ratio, resulting in relatively high R2 values.

Authors

Abdelhalim Azam,Fayez Alanazi,Mohamed Ahmed Okail,Mohamed Ragab

Journal

Sustainability

Published Date

2023/2/27

Optimal Charging Station Placement and Scheduling for Electric Vehicles in Smart Cities

Electric vehicles (EVs) have emerged as a transformative solution for reducing carbon emissions and promoting environmental sustainability in the automotive industry. However, the widespread adoption of EVs in the United States faces challenges, including high costs and unequal access to charging infrastructure. To overcome these barriers and ensure equitable EV usage, a comprehensive understanding of the intricate interplay among social, economic, and environmental factors influencing the placement of charging stations is crucial. This study investigates the key variables that contribute to demographic disparities in the accessibility of EV charging stations (EVCSs). We analyze the impact of various factors, including EV percentage, geographic area, population density, available electric vehicle supply equipment (EVSE) ports, electricity sources, energy costs, per capita and average family income, traffic patterns, and climate, on the placement of EVCSs in nine selected US states. Furthermore, we employ predictive modeling techniques, such as linear regression and support vector machine, to explore unique nuances in EVCS installation. By leveraging real-world data from these states and the identified variables, we forecast the future distribution of EVCSs using machine learning. The linear regression model demonstrates exceptional effectiveness, achieving 90% accuracy, 94% precision, 89% recall, and a 91% F1 score. Both graphical analysis and machine learning converge on a significant finding: Texas emerges as the most favorable state for optimal EVCS placement among the studied areas. This research enhances our …

Authors

Fayez Alanazi,Talal Obaid Alshammari,Abdelhalim Azam

Journal

Sustainability

Published Date

2023/11/16

Rheological and Morphological Characterization of Cup Lump Rubber-Modified Bitumen with Evotherm Additive

Natural rubber (NR) in the form of “cup lump” is used to significantly enhance the thermal stability and elasticity of bitumen. Despite these benefits, the paving industry has raised concerns about its increased energy use and carbon emissions when applied in hot mix asphalt (HMA). Warm mix asphalt (WMA) was invented to reduce this negative effect. In WMA, an additive is first added to the bitumen, which acts as a surfactant and allows the production and compaction of asphalt mixture at temperatures up to 50 °C less. As a result, the amount of energy consumed and carbon dioxide emissions during asphalt production are considerably reduced. In this study, CLR-modified bitumen (CMB) was blended with five percentages of Evotherm warm mix additive (0.3, 0.4, 0.5, 0.6, and 0.75%), and the properties were examined. According to the findings, the Evotherm modification lowered the viscosity of the binder by 26 …

Authors

Suleiman Abdulrahman,Fayez Alanazi,Mohd Rosli Hainin,Mohammed Albuaymi,Hani Alanazi,Musa Adamu,Abdelhalim Azam

Journal

Arabian Journal for Science and Engineering

Published Date

2023/10

Development of Artificial Intelligence Based Safety Performance Measures for Urban Roundabouts

A reliable model for predicting crash frequency at roundabouts is an essential tool for evaluating the safety measures of a roundabout. This study developed a hybrid PSO-ANN model by optimizing the modeling parameters of the classical artificial neural network (ANN) model with the particle swarm optimization algorithm (PSO). The performance accuracy of the models was evaluated using the mean absolute error (MAE), root mean square error (RMSE), and determination coefficients (DC). The PSO-ANN model predicted the crash frequency with very good accuracy at the testing stage (DC = 0.7935). The hybrid model could improve the performance of the classical ANN model by up to 23.3% in the training stage and 16.9% in the testing stage. In addition to the statistical measures, graphical approaches (scatter and violin plots) were also used for evaluating the models’ accuracy. Both statistical and graphical evaluation techniques prove the reliability and accuracy of the proposed hybrid model in predicting the crash frequency at roundabouts.

Authors

Fayez Alanazi,Ibrahim Khalil Umar,Sadi Ibrahim Haruna,Mahmoud El-Kady,Abdelhalim Azam

Journal

Sustainability

Published Date

2023/7/23

Modelling of railway embankment stabilized with geotextile, geo-foam, and waste aggregates

This paper investigates the significance of using different combinations of geotextile, geo-foam, and construction and demolition waste for the reinforcement of soft clay soil. The vertical deformations of railway embankments were determined under a moving train load of 125 kN using the commercially available software package ABAQUS. It is also investigated the effect of train speed on the predicted vertical deformation. 3D numerical modelling was conducted using different depths of geo-foam coated at the top surface by a layer of geotextile. Finite element analysis (FEA) using the Modified Cam-Clay model was performed and is divided into two categories: general static analysis and dynamic analysis. The results showed the reinforcement of soft clay with C&D, geo-foam coated with geotextile reduced the predicted vertical deformations. The results reported that the geotextile combined with the goe-foam were …

Authors

Mahmoud S El-kady,Abdelhalim Azam,Ahmed M Yosri,Marwa Nabil

Journal

Case Studies in Construction Materials

Published Date

2023/7/1

Variations of driving behavior across Kingdom of Saudi Arabia

The driving behavior is the way where an operator controls a set of operations that a person conducts to ensure both public safety and adherence to traffic regulations. The aim of this study is to identify several demographic variables that are related to traffic crashes in the Kingdom of Saudi Arabia (KSA), as well as to test the validity of the driving behavior questionnaire (DBQ). Using a confusion matrix, the accuracy of the used questionnaires was compared to the field data which obtained from official reports. The findings revealed that a complicated interaction of predictors, which is most likely due to the wide range of geographical, environmental, and authoritative factors. The accuracy of the fitted questionnaires data was highly (86.2%) matched with the official data.

Authors

Rayan Alhazmi,Wadea Sindi,Manal Aburizaiza,Abdelhalim Azam,Mahmoud Elkady,Ayed Alluqmani

Journal

Innovative infrastructure solutions

Published Date

2022/10

Modeling resilient modulus of subgrade soils using LSSVM optimized with swarm intelligence algorithms

Resilient modulus (Mr) of subgrade soils is one of the crucial inputs in pavement structural design methods. However, the spatial variability of soil properties and the nature of test protocols, the laboratory determination of Mr has become inexpedient. This paper aims to design an accurate soft computing technique for the prediction of Mr of subgrade soils using the hybrid least square support vector machine (LSSVM) approaches. Six swarm intelligence algorithms, namely particle swarm optimization (PSO), grey wolf optimizer (GWO), symbiotic organisms search (SOS), salp swarm algorithm (SSA), slime mould algorithm (SMA), and Harris hawks optimization (HHO) have been applied and compared to optimize the LSSVM parameters. For this purpose, a literature dataset (891 datasets) of different types of soils has been used to design and evaluate the proposed models. The input variables in all of the proposed …

Authors

Abdelhalim Azam,Abidhan Bardhan,Mosbeh R Kaloop,Pijush Samui,Fayez Alanazi,Majed Alzara,Ahmed M Yosri

Journal

Scientific Reports

Published Date

2022/8/24

Integrated and holistic knowledge map of resilient modulus studies for pavement materials: A scientometric analysis and bibliometric review of research frontiers and prospects

Since the establishment of the American Association of State Highway and Transportation Officials (AASHTO) in 1960, the design of pavement structures has improved tremendously. The characterization of pavement materials has gained significant popularity all around the world. Throughout several decades, researchers have conducted extensive research in material characterization and unanimously agree that resilient modulus (MR) is one of the prime factors in predicting the pavement layers' performance. This study aims to systematically analyze and visualize the status of research conducted on pavement material. The analysis was performed based on the web of science by investigating the existing research undertaken to date on the MR of pavement materials using VOSvieweer and CiteSpace tools. This study examined two keywords, “resilient modulus” and their frequency of occurrence using the function …

Authors

Ali Alnedawi,Saad Ullah,Abdelhalim Azam,Eman Mousa,Ihsan Obaid,Ahmed Yosri

Published Date

2022/3/1

Performance characteristics of asphalt mixtures with industrial waste/by-product materials as mineral fillers under static and cyclic loading

The mineral filler is an integral constituent of asphalt mixture, which affects its performance. This research investigates the effect of using four local industrial waste/by-product materials (marble, granite, steel slag and hydrated lime powder) as mineral fillers on asphalt mixtures characteristics. The detailed performance of these materials as well as asphalt binder and asphalt mixture characteristics are presented. In Egypt, limestone powder is a typical mineral filler in asphalt mixture composition. A control asphalt mixture with limestone mineral filler is designed using Marshall method. Other four asphalt mixtures are prepared using similar constituents and volumetrics except replacing the limestone filler with other types of industrial waste/by-product materials, while maintaining the same percentage of mineral filler as in the control mix. Marshall stability and moisture-induced damage of the investigated asphalt mixtures …

Authors

Ahmed M Awed,Eman W Tarbay,Sherif M El-Badawy,Abdelhalim M Azam

Journal

Road Materials and Pavement Design

Published Date

2022/2/1

Influence of Unbound Materials Input Level on Pavement Performance using MEPDG.

For material characterization, the new Mechanistic Empirical Pavement Design Guide (MEPDG) has 3 input levels. Level 1 input values must be obtained through direct laboratory testing. Level 2 inputs are determined by the application of correlations with other material properties. Finally, Level 3 inputs are simply typical default values. The level chosen for each design input parameter, however, may have a significant effect on project design, costs, and reliability. In this paper, the influence of the unbound granular base material characterization input level on pavement performance as predicted by MEPDG for a typical flexible pavement section was investigated. For this purpose, analyses were made for three weather stations representing different climatic regions in Egypt: Alexandria, Cairo and Aswan. For the typical pavement system, level 1 data for the resilient modulus based on measured laboratory values (k1, k2, and k3 elastic response coefficients) were used for the first set of MEPDG runs. The second set of computer simulation runs were conducted using correlation from California Bearing Ratio (CBR) values. The final set of runs, utilized default resilient modulus values of the unbound base material based on the AASHTO class. MEPDG predicted pavement distresses for the three input levels were compared and the results showed variation in performance due to the change in the input level.

Authors

Abd El-Hakim,T Ragaa,Sherif Massoud EL-Badawy,Alaa Rashad Gabr Gabr,Abd El Halim Moawed Anter Azzam

Journal

MEJ-Mansoura Engineering Journal

Published Date

2021/12/1

Safety and mobility effects of installing speed-humps within unconventional median U-turn intersections

The main aim of this paper is to evaluate the effects of installing speed-humps on the safety and mobility of the unconventional median U-turn, three-leg intersections, using the VISSIM microscopic traffic simulation model. The average delay was used as the measure of mobility, while the simulated conflict ratio based on the time-to-collision (TTC) surrogate safety measure, was used as an indicator of safety performance. The surrogate safety assessment model (SSAM) was applied to extract traffic conflicts, with TTC ≤ 1.50 s, which represent less severe conflicts, and TTC ≤ 0.50 s, that represent severe conflicts. The results show that hump speeds of 5.0 km/h significantly increase the intersection average delay by 109–448% and severely increase traffic conflicts, regardless of the hump location. While hump speeds of 20.0 km/h increase the average delay by 2–36%, based on the traffic conditions. Moreover, the 20 …

Authors

Usama Elrawy Shahdah,Abdelhalim Azam

Journal

Ain Shams Engineering Journal

Published Date

2021/6/1

Evaluation of reclaimed asphalt pavement as base/subbase material in Egypt

The application of reclaimed asphalt pavement (RAP) has become a common practice in road construction as a substitute to natural aggregate. The significance of RAP amount on the resilient modulus behavior, shear strength and hydraulic conductivity characteristics of unbound granular base materials were investigated in this research. RAP was blended with crushed aggregate by different percentages ranging from 0% to 100% by the blend weight. The laboratory testing program includes modified compaction, California Bearing Ratio (CBR), permeability, and repeated and static triaxial tests. A descriptive statistical analysis was conducted on all testing results. Furthermore, the X-ray computed tomography (CT) scanning technique was applied to investigate the internal (micro) structure of specimens. It was noted that with the addition of more RAP to the blend the resilient modulus increased and the coefficient of …

Authors

Eman Mousa,Sherif El-Badawy,Abdelhalim Azam

Journal

Transportation Geotechnics

Published Date

2021/1/1

Combined effect of compaction level and matric suction conditions on flexible pavement performance using construction and demolition waste

The characteristics of the unbound base layer have been recognized to influence the performance of flexible pavements to wide extents depending on climate conditions, construction quality, material source, traffic level, and pavement structure. Recently, unsaturated soil modeling has become generally accepted in predicting the pavement performance as pavement layers are typically placed well above soil water table, and tend to remain unsaturated during pavement service life. This paper investigates the combined impact of compaction level and initial matric suctions of construction and demolition (C&D) waste material used as a based layer on simulated pavement performance using the AASHTOWare Pavement ME Design software. Towards the preparation of the software inputs as per level 1 requirements, a laboratory experimental program was conducted on C&D material which includes the construction of …

Authors

Mohamed G Arab,Majed Alzara,Waleed Zeiada,Maher Omar,Abdelhalim Azam

Journal

Construction and Building Materials

Published Date

2020/11/20

Effect of reclaimed asphalt pavement in granular base layers on predicted pavement performance in Egypt

This research presents the prediction of pavement performance constructed with base layer consisting of reclaimed asphalt pavement (RAP)/virgin aggregate blends. The prediction was made by the Multi-Layer Elastic Analysis software (KENLAYER) in terms of horizontal tensile strain at the bottom of AC layer and the vertical resilient strain at critical locations within the pavement system. The dynamic modulus |E*| for the hot mix asphalt was estimated by using the quality-related specifications software considering three different climatic conditions and two levels of design speeds. Finally, total pavement rutting and fatigue cracking were determined using the critical strains computed by the Multi-Layer Elastic Analysis along with the Mechanistic Empirical Pavement Design Guide performance models and transfer functions. In general, the RAP blends showed superior/comparable performance compared to …

Authors

Eman Mousa,Sherif El-Badawy,Abdelhalim Azam

Journal

Innovative Infrastructure Solutions

Published Date

2020/8

See List of Professors in Abdelhalim Azam University(Mansoura University)

Abdelhalim Azam FAQs

What is Abdelhalim Azam's h-index at Mansoura University?

The h-index of Abdelhalim Azam has been 14 since 2020 and 14 in total.

What are Abdelhalim Azam's top articles?

The articles with the titles of

Life cycle assessment and pavement performance of recycled aggregates in road construction

Applications of Terrestrial Laser Scanner in Detecting Pavement Surface Defects

A hybrid Cycle GAN-based lightweight road perception pipeline for road dataset generation for Urban mobility

Operational and Environmental Assessment of Weaving Section for Urban Roads: Case Study, Aljouf Region, KSA

Optimal Charging Station Placement and Scheduling for Electric Vehicles in Smart Cities

Rheological and Morphological Characterization of Cup Lump Rubber-Modified Bitumen with Evotherm Additive

Development of Artificial Intelligence Based Safety Performance Measures for Urban Roundabouts

Modelling of railway embankment stabilized with geotextile, geo-foam, and waste aggregates

...

are the top articles of Abdelhalim Azam at Mansoura University.

What are Abdelhalim Azam's research interests?

The research interests of Abdelhalim Azam are: pavement modelling, pavement performance, unsaturated pavement, sustainability, innovative materials

What is Abdelhalim Azam's total number of citations?

Abdelhalim Azam has 636 citations in total.

What are the co-authors of Abdelhalim Azam?

The co-authors of Abdelhalim Azam are Md. Mizanur Rahman, Sherif M. El-Badawy, Mosbeh R.Kaloop, Waleed Abdelaziz Zeiada, Alaa Gabr, Mohamed G. Arab.

    Co-Authors

    H-index: 33
    Md. Mizanur Rahman

    Md. Mizanur Rahman

    University of South Australia

    H-index: 28
    Sherif M. El-Badawy

    Sherif M. El-Badawy

    Mansoura University

    H-index: 25
    Mosbeh R.Kaloop

    Mosbeh R.Kaloop

    Mansoura University

    H-index: 21
    Waleed Abdelaziz Zeiada

    Waleed Abdelaziz Zeiada

    University of Sharjah

    H-index: 19
    Alaa Gabr

    Alaa Gabr

    Mansoura University

    H-index: 17
    Mohamed G. Arab

    Mohamed G. Arab

    University of Sharjah

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