Modeling Shear Behavior of Woven Fabric Thermoplastic Composites for Crash Simulations
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DOI: 10.1007/s10443-020-09844-0
Abstract: Woven fabric thermoplastic composites possess high specific strength and stiffness along with thermoformability. To utilize the full potential of these materials to achieve better crash-safe designs in automotive structural parts, the measurement of non-linear shear… read more here.
Keywords: woven fabric; fabric thermoplastic; modeling shear; thermoplastic composites ... See more keywords
Modeling the shear response of granular materials with discrete element assemblages of sphere-clusters
Sign Up to like & getrecommendations! Published in 2019 at "Computers and Geotechnics"
DOI: 10.1016/j.compgeo.2018.10.003
Abstract: Abstract Numerous high-performance computations of discrete element simulations of the direct-shear test investigate macroscopic and microscopic responses of granular materials. Volumetric dilation and mobilized friction angles are compared with spheres and sphere-clusters to investigate the… read more here.
Keywords: shear response; granular materials; discrete element; sphere clusters ... See more keywords
Modeling of Shear Behavior of Reinforced Concrete Beams with Corroded Stirrups Strengthened with FRP Sheets
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Composites for Construction"
DOI: 10.1061/(asce)cc.1943-5614.0000874
Abstract: AbstractBecause stirrups corrode earlier and faster than longitudinal steel bars, reinforced concrete (RC) structures may fail in shear instead of bending. Since shear failure is brittle and catast... read more here.
Keywords: concrete beams; modeling shear; behavior reinforced; beams corroded ... See more keywords
Artificial Neural Networks for Modeling Shear Modulus and Damping Behavior of Gravelly Materials
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Geomechanics"
DOI: 10.1061/(asce)gm.1943-5622.0000660
Abstract: AbstractIn this paper, the feasibility of developing and using artificial neural networks (ANNs) for modeling the shear modulus (G) and damping ratio (D) versus shear strain (γ) behaviors of dry and saturated isotropic and anisotropic… read more here.
Keywords: shear modulus; neural networks; gravelly materials; modeling shear ... See more keywords