A5009719068- Composite Structure Analysis and Optimization
- Natural Fiber Reinforced Composites
- Tribology and Wear Analysis
- Structural Load-Bearing Analysis
- Remote Sensing and LiDAR Applications
- 3D Surveying and Cultural Heritage
- Mechanical Engineering and Vibrations Research
- Mechanical Behavior of Composites
- Industrial Vision Systems and Defect Detection
- Carbon Nanotubes in Composites
- Nonlocal and gradient elasticity in micro/nano structures
- Geotechnical Engineering and Soil Stabilization
- Machine Learning in Materials Science
- Structural Behavior of Reinforced Concrete
- Polymer Nanocomposites and Properties
- Grouting, Rheology, and Soil Mechanics
- 3D Shape Modeling and Analysis
- Non-Destructive Testing Techniques
- Bamboo properties and applications
- Ultrasonics and Acoustic Wave Propagation
- Photovoltaic System Optimization Techniques
- High Temperature Alloys and Creep
- Graphite, nuclear technology, radiation studies
- Image and Object Detection Techniques
- Image Processing and 3D Reconstruction
University of British Columbia
2018-2025
Islamic Azad University, Science and Research Branch
2022
Islamic Azad University of Kashan
2016-2017
University of Kashan
2013
Tailorability is an important advantage of composites. Incorporating new bio-reinforcements into composites can contribute to using agricultural wastes and creating tougher more reliable materials. Nevertheless, the huge number possible natural material combinations works against finding optimal composite designs. Here, machine learning was employed effectively predict fracture toughness properties multiscale bio-nano-composites. Charpy impact tests were conducted on with various two bio...
Design under uncertainty has significantly grown in research developments during the past decade. Additionally, machine learning (ML) and explainable ML (XML) have offered various opportunities to provide reliable predictable models. The current article investigates use of finite element modeling (FEM), XML predictions, uncertain-based design carbon-carbon (C-C) composites for ultra-high temperatures. A C-C composite concentrating solar power (CSP) as a microvascular receiver is considered...
Free vibration analysis of size‐dependent carbon nanotube‐reinforced composite (CNTRC) nanoplates, resting on the visco‐Pasternak foundation is studied. The Mori–Tanaka approach, considering nanotube (CNT) agglomeration, employed to derive material properties nanoplates. carried out for uniform distribution (UD) and randomly oriented (RO) single‐walled nanotubes (SWCNTs) while nanoplate are considered be temperature‐dependent. Using Hamilton's principle, governing differential equations...
The influence of maleated polypropylene (MAPP) on the mechanical/thermal properties short latania fiber‐reinforced poly(propylene)/ethylene‐propylene‐diene‐monomer (SLF/PP/EPDM) composites was investigated. Two different MAPP weight percentages (0 and 2wt%) five fiber contents (0, 5, 10, 20, 30wt%) were considered, where density at surfaces progressively decreased. For a given loading, addition 2wt% led to roughly 3–9% increase in tensile/flexural moduli strengths over SLF/PP/EPDM with no...
Functionally graded materials (FGMs) are high temperature-resistant that can simultaneously maintain metallic tenacity and anti-corrosive properties. Nevertheless, using FGMs during a multi-year service life at ultrahigh temperatures is crucial. Hence, the time-dependent creep response of variable-thickness rotating disks made FGM investigated. Four different disk profiles linear, concave, convex, uniform considered. The material's properties defined by Bailey-Norton law. Loading...
Abstract Unique properties of natural fibers have made them strong sustainable materials in reinforcing composites. Latania fibers, recently compared to jute shown a better mechanical performance polymer fiber‐reinforced epoxy (LFRE) laminated composites were studied under creep loads at elevated temperatures. The tests performed temperatures 80 and 100°C subjected 35% the ultimate tensile strength. failure time, initial strain, strain rate, Larson–Miller constant for specimens evaluated....
The traditional mapping and surveying approach as a long-established practice in identifying rock mass discontinuities comes with various limitations. Remote sensing techniques mitigate those limitations can quickly capture accurate 3D point cloud data. An automatic workflow is presented to extract the discontinuity planes from highly irregular surfaces captured down sampled voxelization technique k-nearest neighbor search used through hybrid approach, considering distance number of points....
Effect of Curing Time and Percentage Concrete Additives on Increasing the Compressive Strength Shear Silty Sand Soils