Roz‐Ud‐Din Nassar

ORCID: 0000-0002-5296-0746
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Research Areas
  • Innovative concrete reinforcement materials
  • Concrete and Cement Materials Research
  • Innovations in Concrete and Construction Materials
  • Recycled Aggregate Concrete Performance
  • Recycling and utilization of industrial and municipal waste in materials production
  • Concrete Corrosion and Durability
  • Magnesium Oxide Properties and Applications
  • Structural Behavior of Reinforced Concrete
  • Corrosion Behavior and Inhibition
  • Infrastructure Maintenance and Monitoring
  • Natural Fiber Reinforced Composites
  • Antimicrobial agents and applications
  • Odor and Emission Control Technologies
  • Concrete Properties and Behavior
  • Smart Materials for Construction
  • Advanced Machining and Optimization Techniques
  • Building Energy and Comfort Optimization
  • Geotechnical Engineering and Soil Stabilization
  • Geotechnical Engineering and Soil Mechanics
  • Materials Engineering and Processing
  • Smart Parking Systems Research
  • Aluminum Alloys Composites Properties
  • Fire effects on concrete materials
  • Surface Modification and Superhydrophobicity
  • Material Properties and Failure Mechanisms

American University of Ras Al Khaimah
2020-2024

American University of Sharjah
2016

Michigan State University
2010-2012

Government of Pakistan
2012

The construction sector is a major contributor to global greenhouse gas emissions. Using recycled and waste materials in concrete practical solution address environmental challenges. Currently, agricultural widely used as substitute for cement the production of eco-friendly concrete. However, traditional methods assessing strength such are both expensive time-consuming. Therefore, this study uses machine learning techniques develop prediction models compressive (CS) rice husk ash (RHA) ML...

10.1016/j.cscm.2024.e02901 article EN cc-by Case Studies in Construction Materials 2024-01-19

Contemporary infrastructure requires structural elements with enhanced mechanical strength and durability. Integrating nanomaterials into concrete is a promising solution to improve However, the intricacies of such nanoscale cementitious composites are highly complex. Traditional regression models encounter limitations in capturing these intricate compositions provide accurate reliable estimations. This study focuses on developing robust prediction for compressive (CS) graphene...

10.1016/j.rineng.2024.101837 article EN cc-by Results in Engineering 2024-02-06

The use of fly ash in cementitious composites has gained popularity. Assessing this property requires expensive and destructive laboratory tests utilizing specialized equipment like the rotating-cutter method. Therefore, there is a need for alternative methods to predict depth wear (DW) such more efficiently cost-effectively. Accordingly, objective research utilize machine learning (ML) approaches, including one individual algorithm (Decision Tree) two ensemble algorithms (AdaBoost Regressor...

10.1016/j.rineng.2023.101625 article EN cc-by-nc-nd Results in Engineering 2023-11-28

The incorporation of waste foundry sand (WFS) into concrete has been recognized as a sustainable approach to improve the strength properties (WFSC). However, machine learning (ML) techniques are still necessary forecast characteristics WFSC and evaluate dominant input features for suitable mix design. For this purpose, present work selected five ML-based based on gene expression programming (GEP), deep neural network (DNN), optimizable Gaussian process regressor (OGPR) predict mechanical...

10.1016/j.cscm.2023.e02459 article EN cc-by-nc-nd Case Studies in Construction Materials 2023-09-09

The ceramic waste powder (CWP) is generated in the industry during cutting and polishing stages. It harmful to environment needs a massive area for disposal. Therefore, an alternative way required reduce environmental pollution landfill caused by CWP. aim of study establish Artificial Intelligence (AI) model CWP concrete from experimental results save time cost. Advancements AI have made estimation mechanical characteristics possible employing Machine Learning (ML) approaches. In current...

10.1016/j.jmrt.2023.02.024 article EN cc-by-nc-nd Journal of Materials Research and Technology 2023-02-11

Modern infrastructure requirements necessitate structural components with improved durability and strength properties. The incorporation of nanomaterials (NMs) into concrete emerges as a viable strategy to enhance both the concrete. Nevertheless, complexities inherent in these nanoscale cementitious composites are notably intricate. Traditional regression models face constraints comprehensively capturing intricate compositions. Thus, posing challenges delivering precise dependable...

10.1016/j.cscm.2024.e03018 article EN cc-by Case Studies in Construction Materials 2024-03-02

10.5276/jswtm.2011.307 article EN The Journal of Solid Waste Technology and Management 2011-11-01

This paper reports the long-term field and laboratory-tested performance of concrete produced with 20 wt% replacement cement powder waste glass (WG). Field investigations WG were carried out in a large-scale project comprising various segments subjected to harsh weathering conditions service load over period about three years. While laboratory cured normal specimens tested compression flexure at ages ranging from 3 days 300 days. After years exposure, cores extracted for compressive...

10.1016/j.cscm.2021.e00745 article EN cc-by-nc-nd Case Studies in Construction Materials 2021-10-14

The performance of blended mortar mixtures produced with partial replacement cement agriculture waste ashes rice husk, sugarcane bagasse, corncob, and wood were evaluated in this investigation. Cement was replaced at 5, 10, 15 wt% each for manufacturing mortars. Fresh mixture properties, compressive strength, electrical resistivity, sulfate resistance the 7, 28, 56, 90 days curing ages compared that control mixture. Test results showed a significant improvement later age resistivity...

10.1016/j.cscm.2022.e00944 article EN cc-by-nc-nd Case Studies in Construction Materials 2022-02-11

The concept of using milled waste glass as partial replacement for cement in paste and mortar was investigated to reduce the adverse environmental energy impacts cement-based products. Based on experimental investigations it found that glass, when micro-scale particle size, undergoes pozzolanic reaction with hydrates. These reactions bring about favourable changes structure, including pore system characteristics hydrated mortar. Use cement, produced significant gains resistance moisture...

10.1680/macr.11.00082 article EN Magazine of Concrete Research 2012-06-08

Abstract. This study employed the Extreme Gradient Boosting (XGBoost) Machine Learning (ML) model to predict compressive and flexural strengths of concrete mixtures reinforced with 0.5, 1.0, 1.5% polyvinyl alcohol (PVA) fibers volume fractions at 28 days age. A significant increase in resulting was recorded as a result incorporation PVA fibers, particularly higher fiber fraction level when compared that control mixture produced without addition fibers. The ML model-predicted data found be...

10.21741/9781644903414-45 article EN Materials research proceedings 2025-02-12

This paper investigates the effects of powder waste glass (PWG) at 10%, 15%, and 20 wt.% replacement cement on flow characteristic, setting time, compressive strength, water sorption, rate heat hydration, cumulative hydration; alkali-silica reaction (ASR), microstructure characteristics resulting paste mortar mixtures. A total eight cementitious mixtures including two control have been investigated in this experimental program to evaluate effect PWG fresh hardened state Test results show...

10.1080/23311916.2023.2297466 article EN cc-by Cogent Engineering 2024-01-16

This study presents the physical, mechanical, and durability characteristics of extruded cement fiber products manufactured with various types wood fibers. Four products, one each produced softwood, hardwood, recycled wood, a blend hard/softwood fibers were investigated in experimental program. For type mixtures, effect content (fiber to ratio) was at 5%, 10%, 15% levels. These tested unaged aged conditions after exposure accelerated aging effects. Test results showed decrease bulk specific...

10.1016/j.cscm.2022.e00968 article EN cc-by-nc-nd Case Studies in Construction Materials 2022-02-22

Purpose This study aims to report the development and experimental evaluation of three innovative corrosion-resistant modified epoxy coatings, namely, nanocomposite/toughened, self-healing hybrid for application on steel substrates. Design/methodology/approach The corrosion resistance these coatings was evaluated in a highly corrosive environment salt fog spray 2,500 h exposure. Electrochemical impedance spectroscopy (EIS) measurements sustained exposure NaCl saturated Ca(OH)2 solution, rust...

10.1108/acmm-04-2023-2793 article EN Anti-Corrosion Methods and Materials 2023-07-27

Use of milled waste glass, as partial replacement for cement, to overcome the drawbacks recycled aggregate concrete was investigated. Based on experimental investigations structure and properties materials, it found that when micro-scale particle size, undergoes pozzolanic reactions with cement hydrates, forming secondary calcium silicate hydrate (C–S–H). These bring about favourable changes in hydrated paste interfacial transition zones normal concrete. produced significant gains mechanical...

10.1680/coma.11.00059 article EN Proceedings of the Institution of Civil Engineers - Construction Materials 2012-09-21

The combined use of coal bottom ash (CBA) and ground CBA (GCBA) as partial replacement fine natural aggregate (FNA) Portland cement, respectively, was investigated for the production concrete mixtures. Five mixtures incorporating GCBA at 20 wt% binder 0, 25, 50, 75 100 FNA were produced tested strength, microstructural characteristics carbonation resistance. A base mixture made conventional also a reference mixture. Test results showed that in enhancement microstructure, resistance...

10.1680/jmacr.20.00125 article EN Magazine of Concrete Research 2021-01-04

Abstract Using artificial intelligence-based tools, this research aims to establish a direct correlation between the alkali-activated concrete (AAC) mix design factors and their performances. More specifically, machine learning system was fed new property data obtained from AAC mixes used in laboratory experiments. The rheological parameters (yield stress [static/dynamic] plastic viscosity) of were predicted using multilayer perceptron neural network (MLPNN) bagging ensemble (BE) models. In...

10.1515/rams-2024-0006 article EN cc-by REVIEWS ON ADVANCED MATERIALS SCIENCE 2024-01-01
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