A5027160958- Innovative concrete reinforcement materials
- Concrete and Cement Materials Research
- Recycled Aggregate Concrete Performance
- Smart Materials for Construction
- Structural Behavior of Reinforced Concrete
- Magnesium Oxide Properties and Applications
- Innovations in Concrete and Construction Materials
- Recycling and Waste Management Techniques
- Concrete Corrosion and Durability
- Advanced Machining and Optimization Techniques
- AI in cancer detection
- Numerical methods in engineering
- Fire effects on concrete materials
- Fluid Dynamics Simulations and Interactions
- Radiomics and Machine Learning in Medical Imaging
- Plant Physiology and Cultivation Studies
- Fiber-reinforced polymer composites
- Graphite, nuclear technology, radiation studies
- Structural Engineering and Vibration Analysis
- Soft Robotics and Applications
- MRI in cancer diagnosis
- Phytoplasmas and Hemiptera pathogens
- Microwave Dielectric Ceramics Synthesis
- Network Traffic and Congestion Control
- Tree Root and Stability Studies
Pennsylvania State University
2023-2025
City University of Hong Kong
2019-2024
Zhengzhou University
2024
Bahauddin Zakariya University
2023
National University of Sciences and Technology
2020
University of Indonesia
2020
University of Science and Technology Beijing
2018
Islamia University of Bahawalpur
2014
Machine learning techniques are widely used algorithms for predicting the mechanical properties of concrete. This study is based on comparison between individuals and ensemble approaches, such as bagging. Optimization bagging done by making 20 sub-models to depict accurate one. Variables like cement content, fine coarse aggregate, water, binder-to-water ratio, fly-ash, superplasticizer modeling. Model performance evaluated various statistical indicators mean absolute error (MAE), square...
The experimental design of high‐strength concrete (HSC) requires deep analysis to get the target strength. In this study, machine learning approaches and artificial intelligence python‐based have been utilized predict mechanical behaviour HSC. data be used in modelling consist several input parameters such as cement, water, fine aggregate, coarse aggregate combination with a superplasticizer. Empirical relation mathematical expression has proposed using engineering programming. efficiency...
The complication linked with the prediction of ultimate capacity concrete-filled steel tubes (CFST) short circular columns reveals a need for conducting an in-depth structural behavioral analyses this member subjected to axial-load only. distinguishing feature gene expression programming (GEP) has been utilized establishing model axial behavior long CFST. proposed equation correlates CFST depth, thickness, yield strength steel, compressive concrete and length CFST, without any expensive...
For the production of geopolymer concrete (GPC), fly-ash (FA) like waste material has been effectively utilized by various researchers. In this paper, soft computing techniques known as gene expression programming (GEP) are executed to deliver an empirical equation estimate compressive strength fc′ GPC made employing FA. To build a model, consistent, extensive and reliable data base is compiled through detailed review published research. The set comprised 298 experimental results. utmost...
Carbon nanotubes (CNTs) and graphite nanoplatelets (GNPs) belong to the family of nanomaterials (GNMs) are promising candidates for enhancing properties cementitious matrix. However, problem lies with their improper dispersion. In this paper used carbon dispersion facilitation CNTs in cement mortar. The intended role is use GNPs particles investigate synergistic effect resulting nano-intruded Mechanical such as flexure compressive strength have been studied along volumetric stability,...
Amid the COVID-19 pandemic, a sudden surge in production and utilization of disposable, single-use facial masks has been observed. Delinquency proper disposal used endangers environment with new form non-biodegradable plastic waste that will take hundreds years to break down. Therefore, there is an urgent need for resourceful recycling such environmentally friendly way. This study presents efficient solution by using fibered or crushed produce affordable green concrete. investigation...
Plastic waste is an immense challenge for management and sustainable development because it has been detrimental to aquatic terrestrial life. The easiest most common method eliminate huge volumes of this burning, which harmful environment. in bricks can reduce accumulation problems partially replace natural resources (clay) with waste. This study mainly focused on utilizing plastic dust fired clay investigating its effect their physical mechanical properties, such as compressive strength,...
Utilizing recycled aggregates (RAs) in concrete production represents a promising path toward sustainability; however, it often results reduced physical and durability properties. The weak interfacial transition zone (ITZ) the adhered mortar aggregate (RAC) contribute to lower mechanical strength limit its application demanding environments. This study investigates an accelerated carbonation technique enhance properties of RA RAC. Recycled aggregates, with particle size 10–20 mm, were...
Abstract: For the production of geopolymer concrete (GPC), fly-ash (FA) like waste material has been effectively utilized by various researchers. In this paper, soft computing techniques known as gene expression programming (GEP) are executed to deliver an empirical equation estimate compressive strength f_c^' GPC made employing FA. To build a model, consistent, extensive and reliable data base is compiled through detailed review published research. The set comprised 298 experimental...