scholarly journals 3D network modelling of fracture processes in fibre-reinforced geomaterials

2019 ◽  
Vol 156-157 ◽  
pp. 234-242 ◽  
Author(s):  
Peter Grassl ◽  
Adrien Antonelli
2018 ◽  
Vol 84 (11) ◽  
pp. 46-51 ◽  
Author(s):  
N. A. Makhutov

The results of comprehensive studies of multifactor processes, mechanisms and criteria for fracture at a variation of the crack-like defect state, loading conditions and mechanical properties of structural materials carried out in the 20th - 21st centuries are presented on the basis of monographic publications and articles published in the journal “Zavodskaya Laboratoriya. Diagnostika Materialov.” Crack resistance of materials and structures has become a key problem of the material science, technology, design, manufacture and service of structures. Fracture mechanics including estimation of the stress-strain and limiting states in a cracks tip formed a scientific basis of the crack resistance analysis Stress intensity factors (linear fracture mechanics) and strain intensity factors (nonlinear fracture mechanics) are accepted as the basic criteria of those states. The basic computational relations for construction of the fracture diagrammes which link the cracks growth with conditions of a static, cyclic, long-term, dynamic loading are presented. Parameters of computational relations are put into correspondence with the features of fracture processes on nano-, micro-, meso- and macrolevels. Prospects of the research and guidelines of further studing crack resistance are discussed.


Author(s):  
Sinh C. Lam ◽  
Kieu T. Nguyen

Background & Objective: In this work, we introduced a mathematical network model which follows on the recommendations of 3GPP to evaluate the downlink Long Term Evolution (LTE) network utilizing Strict Frequency Reuse (FR) scheme. The network modelling bases on the establishment phase and communications of the FR scheme. The user average coverage probability is derived and analysed under Rayleigh fading environment and furthermore the closed-form formulations of the performance are found using Gauss Quadratures. Through the Monte Carlo simulation, it is proved that the proposed analytical approach is more accurate than other approaches in the literature. Conclusion: Furthermore, this paper stated that the overall system can achieve the better performance with a higher number of Cell-Edge Users (CEUs), which contrasts with other works in the literature.


2020 ◽  
Vol 22 (40) ◽  
pp. 22918-22922
Author(s):  
Baozhong Li ◽  
Yang Zhang ◽  
Kun Luo ◽  
Chenlong Xie ◽  
Yufei Gao ◽  
...  
Keyword(s):  

t-B2C3N2 possesses superhigh hardness exceeding 40 GPa and unique 2D metallicity in a strong 3D network.


Coatings ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 781 ◽  
Author(s):  
Paula E. Florian ◽  
Liviu Duta ◽  
Valentina Grumezescu ◽  
Gianina Popescu-Pelin ◽  
Andrei C. Popescu ◽  
...  

This study is focused on the adhesion and differentiation of the human primary mesenchymal stem cells (hMSC) to osteoblasts lineage on biological-derived hydroxyapatite (BHA) and lithium-doped BHA (BHA:LiP) coatings synthesized by Pulsed Laser Deposition. An optimum adhesion of the cells on the surface of BHA:LiP coatings compared to control (uncoated Ti) was demonstrated using immunofluorescence labelling of actin and vinculin, two proteins involved in the initiation of the cell adhesion process. BHA:LiP coatings were also found to favor the differentiation of the hMSC towards an osteoblastic phenotype in the presence of osteoinductive medium, as revealed by the evaluation of osteoblast-specific markers, osteocalcin and alkaline phosphatase. Numerous nodules of mineralization secreted from osteoblast cells grown on the surface of BHA:LiP coatings and a 3D network-like organization of cells interconnected into the extracellular matrix were evidenced. These findings highlight the good biocompatibility of the BHA coatings and demonstrate that the use of lithium as a doping agent results in an enhanced osteointegration potential of the synthesized biomaterials, which might therefore represent viable candidates for future in vivo applications.


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