scholarly journals Physical and mechanical metallurgy of zirconium alloys for nuclear applications: a multi-scale computational study

2014 ◽  
Author(s):  
Michael Vasily Glazoff
Keyword(s):  
Computational Study ◽  
Zirconium Alloys ◽  
Multi Scale ◽  
Mechanical Metallurgy ◽  
Nuclear Applications

A fast efficient multi-scale approach to modelling the development of hydride microstructures in zirconium alloys

2021 ◽  
Vol 190 ◽  
pp. 110279
Author(s):  
Mitesh Patel ◽  
Luca Reali ◽  
Adrian P. Sutton ◽  
Daniel S. Balint ◽  
Mark R. Wenman
Keyword(s):  
Zirconium Alloys ◽  
Multi Scale

A Computational Study of Perfusion During the ExtraCorporeal Membrane Oxygenation (ECMO)

2017 ◽  
Vol 5 (1) ◽  
pp. 40-52
Author(s):  
Maria Vittoria Caruso ◽  
Vera Gramigna ◽  
Attilio Renzulli ◽  
Gionata Fragomeni
Keyword(s):  
Shear Stress ◽  
Extracorporeal Membrane Oxygenation ◽  
Computational Study ◽  
Fluid Dynamic ◽  
Scale Model ◽  
Common Procedure ◽  
Multi Scale ◽  
Membrane Oxygenation ◽  
Clinical Complications ◽  
The One

The extracorporeal membrane oxygenation (ECMO) is a common procedure of extracorporeal circulation (ECC) used in case of cardiopulmonary diseases. The major clinical complications are related to hemodynamic changes and to the mechanical shear stress. The aim of this study is to evaluate the effects of the modality of perfusion during ECMO, comparing the hemodynamic behavior generated by constant flow (normal modality) with the one obtained by pulsed perfusion induced by the intra-aortic balloon pump (IABP). To carry out the study, the computational fluid dynamic (CFD) approach was chosen, realizing a multi-scale model. The numerical results have highlighted that the IABP-induced pulsed perfusion increases both flow and pressure in the supraaortic vessels, even if the balloon makes the wall shear stress (WSS) pattern and the hemolysis index worse.

scholarly journals Multi-scale computational study of the mechanical regulation of cell mitotic rounding in epithelia

2017 ◽  
Vol 13 (5) ◽  
pp. e1005533 ◽  
Author(s):  
Ali Nematbakhsh ◽  
Wenzhao Sun ◽  
Pavel A. Brodskiy ◽  
Aboutaleb Amiri ◽  
Cody Narciso ◽  
...  
Keyword(s):  
Computational Study ◽  
Multi Scale ◽  
Mechanical Regulation

scholarly journals Probabilistic associative learning suffices for learning the temporal structure of multiple sequences

2019 ◽  
Author(s):  
Ramon H. Martinez ◽  
Anders Lansner ◽  
Pawel Herman
Keyword(s):  
Associative Learning ◽  
Internal Control ◽  
Computational Study ◽  
Brain Activity ◽  
Temporal Structure ◽  
Learning Rule ◽  
Multi Scale ◽  
Temporal Aspects ◽  
And Behavior ◽  
Multiple Sequences

AbstractMany brain phenomena both at the cognitive and behavior level exhibit remarkable sequential characteristics. While the mechanisms behind the sequential nature of the underlying brain activity are likely multifarious and multi-scale, in this work we attempt to characterize to what degree some of this properties can be explained as a consequence of simple associative learning. To this end, we employ a parsimonious firing-rate attractor network equipped with the Hebbian-like Bayesian Confidence Propagating Neural Network (BCPNN) learning rule relying on synaptic traces with asymmetric temporal characteristics. The proposed network model is able to encode and reproduce temporal aspects of the input, and offers internal control of the recall dynamics by gain modulation. We provide an analytical characterisation of the relationship between the structure of the weight matrix, the dynamical network parameters and the temporal aspects of sequence recall. We also present a computational study of the performance of the system under the effects of noise for an extensive region of the parameter space. Finally, we show how the inclusion of modularity in our network structure facilitates the learning and recall of multiple overlapping sequences even in a noisy regime.

scholarly journals HIGH-TEMPERATURE OXIDATION OF CHROME-NICKEL ALLOY

2020 ◽  
Vol 28 ◽  
pp. 8-14
Author(s):  
Adéla Chalupová ◽  
Martin Steinbrück ◽  
Mirco Grosse ◽  
Jakub Krejčí ◽  
Martin Ševeček
Keyword(s):  
High Temperature ◽  
Melting Point ◽  
High Temperature Oxidation ◽  
Zirconium Alloys ◽  
Temperature Oxidation ◽  
Ni Alloy ◽  
Institute Of Technology ◽  
Kinetics Of ◽  
Karlsruhe Institute ◽  
Nuclear Applications

The investigations in this paper deal with the Cr-Ni alloy. The material has been recently proposed as a potential ATF concept, primarily due to its behaviour under high-temperature oxidation. A set of experiments to determine the melting point and describe the oxidation kinetics of the Cr-Ni alloy were performed in Karlsruhe Institute of Technology. Presented results reveal its superb oxidation resistance comparing to zirconium alloys. Therefore, the alloy has a great potential for nuclear applications.

Multi-scale computational study of the molten salt based recycling of spent nuclear fuels

2014 ◽  
Vol 38 (15) ◽  
pp. 1987-1993 ◽  
Author(s):  
Dohyun Kwak ◽  
Seunghyo Noh ◽  
Byungchan Han
Keyword(s):  
Molten Salt ◽  
Computational Study ◽  
Nuclear Fuels ◽  
Multi Scale
Sign in / Sign up

Export Citation Format

Share Document