RISE – Research Institutes of Sweden
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Numerical validation of an improved model for the shearing and transverse crushingof orthotropic composites
This paper details a complete crush model for composite materials with focus on shear dominated crushing under a3D stress state. The damage evolution laws and nal failure strain conditions are based on data extracted from shearexperiments. The main advantages of the current model are: no need to measure the fracture toughness in shear andtransverse compression, mesh objectivity without the need for a regular mesh and nite element characteristic length, apressure dependency of the shear response, account for load reversal and for some orthotropic eects (making the modelsuitable for Non-Crimp Fabric composites). The model is validated against a range of relevant experiments, namely athrough-the-thickness compression specimen and a at crush coupon with the bres oriented at 45 and 90 degrees to theload. Damage growth mechanisms, orientation of the fracture plane, nonlinear evolution of Poisson's ratio and energyabsorption are accurately predicted.Preprint submitted to Journal of Composites Science and Technology</p
Probabilistic multi-RAT performance abstractions
Development towards 5G has introduced difficultchallenges in effectively managing and operating heterogeneousinfrastructures under highly varying network conditions. En-abling, for example, unified coordination and management ofradio resources across coexisting, multiple radio access technolo-gies (multi-RAT), require efficient representation using high-levelabstractions of the radio network performance and state. Withoutsuch abstractions, users and networks cannot harvest the fullpotential of increased resource density and connectivity optionsresulting in failure to meet the ambitions of 5G.We present a generic probabilistic approach for unified estima-tion of performance variability based on attainable throughputof UDP traffic in multi-RATs, and evaluate the applicability inan interface selection control case (involving WiFi and LTE)based on obtaining probabilistic user performance guarantees.From simulations we observe that both users and operators cansignificantly benefit from this improved service availability at lownetwork cost. Initial results indicate 1) 116% fewer performanceviolations and 2) 20% fewer performance violations with areduction by 35 times in the number of handovers, comparedto naive and state-of-the-art baselines, respectively