Bashar Tarawneh
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View article: Energy storage and renewables in district Heating: Trends, economics and outlook
Energy storage and renewables in district Heating: Trends, economics and outlook Open
This study presents a systematic bibliometric analysis of research on energy storage and renewable energy integration in district heating (DH) networks from 2000 to 2024. A total of 726 articles authored by 2088 authors (with 4.13 co-autho…
View article: Development and Validation of <scp>ANN</scp> Models for Water Absorption in Sawdust and Kenaf Fiber‐Reinforced Polystyrene Composites
Development and Validation of <span>ANN</span> Models for Water Absorption in Sawdust and Kenaf Fiber‐Reinforced Polystyrene Composites Open
This research paper involved modeling the water absorption behavior of polystyrene (PS) composites with sawdust and kenaf fiber (KF) reinforcement using the Artificial Neural Network (ANN) method. The composites were made by manual mixing …
View article: Hydrovoltaic energy harvesting: A systematic review and bibliometric analysis of technological innovations, research trends, and future prospects
Hydrovoltaic energy harvesting: A systematic review and bibliometric analysis of technological innovations, research trends, and future prospects Open
The growing demand for sustainable energy solutions has positioned hydrovoltaic energy harvesting (HEH) as a promising renewable technology that converts water-based phenomena into electricity. Despite its potential, the field lacks a comp…
View article: Geospatial and multi-criteria decision-making approach for optimal site selection of solar/wind desalination plants in Oman
Geospatial and multi-criteria decision-making approach for optimal site selection of solar/wind desalination plants in Oman Open
View article: Optimization and Prediction of Tensile Strength in 3D‐Printed PLA/HAp Composites Using Response Surface Methodology and Integrated Machine Learning Technique
Optimization and Prediction of Tensile Strength in 3D‐Printed PLA/HAp Composites Using Response Surface Methodology and Integrated Machine Learning Technique Open
This study aims to optimize the tensile strength of 3D‐printed polylactic acid (PLA) reinforced with hydroxyapatite (HAp). By the integration of response surface methodology (RSM) and machine learning (ML), the most influential process par…
View article: A systematic review of nuclear energy and public acceptance—A detailed analysis of evolution, emerging trends, and future research potentials
A systematic review of nuclear energy and public acceptance—A detailed analysis of evolution, emerging trends, and future research potentials Open
The Fukushima nuclear catastrophe in 2011 had a significant effect on nuclear development worldwide. Despite the numerous studies that assessed nuclear acceptance in recent times, there is currently no study that provides a detailed biblio…
View article: Optimization of Compressive Strength Properties in Fused Deposition Modeling <scp>3D</scp> Printed <scp>PLA</scp> / <scp>HA</scp> Composites for Bone Tissue Engineering Applications
Optimization of Compressive Strength Properties in Fused Deposition Modeling <span>3D</span> Printed <span>PLA</span> / <span>HA</span> Composites for Bone Tissue Engineering Applications Open
This study investigates the optimization of 3D‐printed polylactic acid (PLA) and hydroxyapatite (HA) composites for biomedical applications, focusing on enhancing mechanical properties through process parameter optimization and surface mod…
View article: Optimization of Tensile Strength Behavior in <scp>3D</scp> ‐Printed <scp>PLA</scp> With 10% <scp> <i>Terminalia chebula</i> </scp> Nanocomposites: Influence of Strain Rate, Orientation, and Infill Percentage
Optimization of Tensile Strength Behavior in <span>3D</span> ‐Printed <span>PLA</span> With 10% <span> <i>Terminalia chebula</i> </span> Nanocomposites: Influence of Strain Rate, Orientation, and Infill Percentage Open
This study aims to investigate and maximize the tensile strength behavior of polylactic acid (PLA) 90% and Terminalia chebula nanoparticle (TCNP) 10% composites fabricated using fused deposition modeling (FDM) under varying strain rates (3…
View article: Energy efficiency evaluation of construction projects using data envelopment analysis and Tobit regression
Energy efficiency evaluation of construction projects using data envelopment analysis and Tobit regression Open
View article: Enhanced Energy Efficiency in Small‐Scale Power Generation Using a Hybrid Solar‐Biomass System With Thermal Storage
Enhanced Energy Efficiency in Small‐Scale Power Generation Using a Hybrid Solar‐Biomass System With Thermal Storage Open
The development of reliable and sustainable energy sources is indispensable to support the fast‐growing energy demand globally. Integrated solar energy systems and biomass technologies can be utilized to develop a small‐scale power generat…
View article: Waste Tire Oil Fueled <scp>CI</scp> Engine Combustion Argumentation for Emission Reduction by Butylated Hydroxy Anisole ( <scp>BHA</scp> ) Antioxidant
Waste Tire Oil Fueled <span>CI</span> Engine Combustion Argumentation for Emission Reduction by Butylated Hydroxy Anisole ( <span>BHA</span> ) Antioxidant Open
In the world, transport vehicle usage is increasing every day. Corresponding wastes of their used tire become a challenge to the environment as non‐biodegradable waste. This waste tire can be used to derive the waste tire oil with distilla…
View article: Sustainable Stabilization of Brown and Green Clays Using Industrial By-products
Sustainable Stabilization of Brown and Green Clays Using Industrial By-products Open
Background The disposal of industrial by-products and the rising cost of construction materials are critical issues globally, particularly in developing nations such as Jordan. Brown and green clay are considered problematic types of soft …
View article: Performance of Soil-bearing Spread Footings Supporting Highway Structures
Performance of Soil-bearing Spread Footings Supporting Highway Structures Open
Background Soil-bearing spread footings (SBSF) are emerging as an increasingly attractive option for supporting highway structures. SBSF offers numerous benefits compared to deep foundations, including cost-effectiveness, accelerated const…
View article: Performance of Soil-Bearing Spread Footings Supporting Highway Structures
Performance of Soil-Bearing Spread Footings Supporting Highway Structures Open
Soil-bearing spread footings (SBSF) are becoming an appealing alternative to support highway structures. SBSF have many advantages compared to deep foundations, such as cost-saving, expedited construction, simple design, environmentally fr…
View article: Risk Factors Affecting Ground Improvement Work in the Gulf Corporation Council Countries
Risk Factors Affecting Ground Improvement Work in the Gulf Corporation Council Countries Open
Aim: This research aims to identify the risk factors related to ground improvement projects in the Gulf Corporation Council Countries (GCC). Background: Investigating and identifying those factors are essential to avoid schedule delay, cos…
View article: Empirical Formulas to Predict the Axial Capacity of Driven Piles Using in-Situ Dynamic Load Testing Data
Empirical Formulas to Predict the Axial Capacity of Driven Piles Using in-Situ Dynamic Load Testing Data Open
Accurate estimation of the axial capacity of driven piles is crucial and leads to more economical design.In this research, Artificial neural networks (ANNs) and regression analysis (RA) have been used to develop empirical formulas to estim…
View article: Intelligent Computing Based Formulas to Predict the Settlement of Shallow Foundations on Cohesionless Soils
Intelligent Computing Based Formulas to Predict the Settlement of Shallow Foundations on Cohesionless Soils Open
Introduction: Although it is a regular duty of geotechnical engineers to evaluate how much shallow foundation settles in the granular soil, there is no well-approved formula for this task. The intent of this research is to develop a formul…
View article: Field evaluation and behavior of the soil improved using dynamic replacement
Field evaluation and behavior of the soil improved using dynamic replacement Open
View article: Predicting standard penetration test N-value from cone penetration test data using artificial neural networks
Predicting standard penetration test N-value from cone penetration test data using artificial neural networks Open
Standard Penetration Test (SPT) and Cone Penetration Test (CPT) are the most frequently used field tests to estimate soil parameters for geotechnical analysis and design. Numerous soil parameters are related to the SPT N-value. In contrast…