A5047174953- Innovative concrete reinforcement materials
- Concrete and Cement Materials Research
- Concrete Corrosion and Durability
- Innovations in Concrete and Construction Materials
- Advanced Fiber Optic Sensors
- Infrastructure Maintenance and Monitoring
- Topology Optimization in Engineering
- Structural Behavior of Reinforced Concrete
- BIM and Construction Integration
- Advanced Multi-Objective Optimization Algorithms
- Mineral Processing and Grinding
- Structural Health Monitoring Techniques
- Analytical Chemistry and Sensors
- Advanced Surface Polishing Techniques
- Structural Engineering and Vibration Analysis
- Integrated Circuits and Semiconductor Failure Analysis
- Metaheuristic Optimization Algorithms Research
- Orthopedic Infections and Treatments
- Composite Structure Analysis and Optimization
- Metal Forming Simulation Techniques
- Advanced Electron Microscopy Techniques and Applications
- Structural Analysis and Optimization
- Smart Materials for Construction
- Manufacturing Process and Optimization
- Drilling and Well Engineering
Stevens Institute of Technology
2020-2024
Massachusetts Institute of Technology
2024
Iran University of Science and Technology
2018
This study aims to employ machine learning algorithms analyze the axial bearing capacity of rubberized alkali-activated concrete filled steel tubes. A dataset encompassing 327 synthesized instances and seven input features is adopted for training testing six models, including Decision Tree, Random Forest, Extremely Randomized Trees, Adaptive Boosting, Gradient Boosting Trees (GBDT), eXtreme (XGBoost). The SHapley Additive exPlanation algorithm employed elucidate prediction process models...
Machine learning has exhibited high efficiency in designing concrete. However, collecting the dataset for training machine models is challenging. To address this challenge, paper develops an approach to collect concrete design data automatically based on information extraction techniques. The enables track, extract, and learn knowledge embedded from relevant publications. been incorporated into AI-assisted of low-carbon cost-effective ultra-high-performance (UHPC) via integrating...
Abstract High-performance fiber-reinforced cementitious composites (HPFRCC) exhibit benefits in improving infrastructure resilience but often compromise sustainability due to the higher upfront cost and carbon footprint compared with conventional concrete. This paper presents a framework improve bridge through optimizing HPFRCC. research considers ultra-high-performance concrete strain-hardening composite, both featuring high mechanical strengths, ductility, damage tolerance. establishes...
The past research on cold-formed steel (CFS) flexural members have proved that rectangular hollow flanged sections perform better than conventional I-sections due to their higher torsional rigidity over the later ones. However, CFS are vulnerable local buckling, substantially thin-walled features. use of packing, such as firmly connected timber planks, flanges lipped can drastically improve performance well structural efficiency. Whilst several composites been developed so far, only limited...
This paper presents a new non-gradient nature-inspired method, Lion Pride Optimization Algorithm (LPOA) for solving optimal design problems. method is inspired by the natural collective behavior of lions in their social groups "lion prides". Comparative studies are carried out using fifteen mathematical examples, two benchmark structural problems, order to verify effectiveness proposed technique. The LPOA algorithm also compared with other algorithms some and results have proven that...
Abstract This paper presents game theory‐based strategies incorporated with metaheuristics to improve the computation efficiency and effectiveness in design optimization of civil engineering structures. The idea is that a structural problem can be treated as multiplayer algorithms players. study an innovative mixed strategy provides insights into domain decomposition schemes. Based on theory strategies, six modified metaheuristic are proposed demonstrated through case 30‐story mega‐braced...
<title>Abstract</title> Cement production contributes to over 6% of global greenhouse gas (GHG) emissions, driven by clinker’s energy-intensive and limestone calcination. Substituting clinker with cementitious substitutes is an effective strategy for decarbonization. However, typical substitutes---coal fly ash ground granulated blast furnace slag---face current future supply constraints. Here we systematically map reactivity variations expand the repertoire secondary natural precursors....