A computationally-efficient hierarchical scaling law to predict damage accumulation in composite fibre-bundles

2017 ◽  
Vol 146 ◽  
pp. 210-225 ◽  
Author(s):  
Soraia Pimenta
Keyword(s):  
Damage Accumulation ◽  
Scaling Law ◽  
Computationally Efficient ◽  
Composite Fibre ◽  
Fibre Bundles

scholarly journals Hierarchical scaling law for the strength of composite fibre bundles

2013 ◽  
Vol 61 (6) ◽  
pp. 1337-1356 ◽  
Author(s):  
Soraia Pimenta ◽  
Silvestre T. Pinho
Keyword(s):  
Scaling Law ◽  
Composite Fibre ◽  
Fibre Bundles

Monte Carlo simulation of the strength of composite fibre bundles

1982 ◽  
Vol 17 (3) ◽  
pp. 183-204 ◽  
Author(s):  
Peter W. Manders ◽  
Michael G. Bader ◽  
Tsu-Wei Chou
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Composite Fibre ◽  
Fibre Bundles

scholarly journals Computationally-efficient stochastic cluster dynamics method for modeling damage accumulation in irradiated materials

2015 ◽  
Vol 300 ◽  
pp. 254-268 ◽  
Author(s):  
Tuan L. Hoang ◽  
Jaime Marian ◽  
Vasily V. Bulatov ◽  
Peter Hosemann
Keyword(s):  
Damage Accumulation ◽  
Computationally Efficient ◽  
Dynamics Method

scholarly journals Seismogenic potential of the Main Himalayan Thrust constrained by coupling segmentation and earthquake scaling

2021 ◽  
Author(s):  
Sylvain Michel ◽  
Romain Jolivet ◽  
Chris Rollins ◽  
Jorge Jara ◽  
Luca Dal Zilio
Keyword(s):  
Dynamic Models ◽  
Scaling Law ◽  
Fault Slip ◽  
Earthquake Cycle ◽  
Computationally Efficient ◽  
Rupture Dynamics ◽  
Earthquake Rupture Dynamics ◽  
Earthquake Scaling ◽  
The Moment ◽  
Large Earthquakes

<p>Recent studies have shown that the Himalayan region is under the threat of earthquakes of magnitude 9 or larger. These estimates are based on comparisons of the geodetically inferred moment deficit rate with the seismicity of the region. However, these studies do not account for the physics of fault slip, specifically the influence of frictional barriers on earthquake rupture dynamics, which controls the extent and therefore the magnitude of large earthquakes. Here, we propose a methodology for incorporating outcomes of physics-based earthquake cycle models into hazard estimates. The methodology takes also into account the moment deficit rate, the magnitude-frequency of the current and historical catalogs, and the moment-area earthquake scaling law.</p><p>For the Himalaya setting, we estimate an improved probabilistic estimate moment deficit rate using coupling estimates inferred using a Bayesian framework. The locking distribution of the fault suggests an along-strike segmentation of the MHT with three segments that may act as aseismic barriers. The effect of the barriers on rupture propagation is assessed using results from dynamic models of the earthquake cycle. We show that, accounting for measurement and methodological uncertainties, the MHT is prone to rupturing in M8.7 earthquakes every T>200 yr, with M>9.5 events being greatly improbable. The methodology also allows to estimate the probability of the position of earthquakes on the fault based on the effect of the seismic barriers and their magnitude. This study provides a straightforward and computationally efficient method for estimating regional seismic hazard accounting for the full physics of fault slip.</p>

scholarly journals Modelling the effect of ephaptic coupling on spike propagation in peripheral nerve fibres

2021 ◽  
Author(s):  
Helmut Schmidt ◽  
Thomas Reiner Kn&oumlsche
Keyword(s):  
Peripheral Nerve ◽  
Realistic Model ◽  
Propagation Model ◽  
Biophysical Model ◽  
Computationally Efficient ◽  
Fibre Bundles ◽  
Dispersive Effect ◽  
Nerve Bundles ◽  
Different Diameters ◽  
Ephaptic Coupling

Experimental and theoretical studies have shown that ephaptic coupling leads to the synchronisation and slowing down of spikes propagating along the axons within peripheral nerve bundles. However, the main focus thus far has been on a small number of identical axons, whereas realistic peripheral nerve bundles contain numerous axons with different diameters. Here, we present a computationally efficient spike propagation model, which captures the essential features of propagating spikes and their ephaptic interaction, and facilitates the theoretical investigation of spike volleys in large, heterogeneous fibre bundles. The spike propagation model describes an action potential, or spike, by its position on the axon, and its velocity. The velocity is primarily defined by intrinsic features of the axons, such as diameter and myelination status, but it is also modulated by changes in the extracellular potential. These changes are due to transmembrane currents that occur during the generation of action potentials. The resulting change in the velocity is appropriately described by a linearised coupling function, which is calibrated with a biophysical model. We first lay out the theoretical basis to describe how the spike in an active axon changes the membrane potential of a passive axon. These insights are then incorporated into the spike propagation model, which is calibrated with a biophysically realistic model based on Hodgkin-Huxley dynamics. The fully calibrated model is then applied to fibre bundles with a large number of axons and different types of axon diameter distributions. One key insight of this study is that the heterogeneity of the axonal diameters has a dispersive effect, and that with increasing level of heterogeneity the ephaptic coupling strength has to increase to achieve full synchronisation between spikes. Another result of this study is that in the absence of full synchronisation, a subset of spikes on axons with similar diameter can form synchronised clusters. These findings may help interpret the results of noninvasive experiments on the electrophysiology of peripheral nerves.

Computationally efficient model of the implanted knee for time-sensitive applications

2020 ◽  
Author(s):  
E Bori ◽  
A Navacchia ◽  
L Wang ◽  
L Duxbury ◽  
S McGuan ◽  
...  
Keyword(s):  
Computationally Efficient

Cloud-Based Multimedia Content Protection System

2020 ◽  
pp. 164-169
Author(s):  
B. Aparna ◽  
S. Madhavi ◽  
G. Mounika ◽  
P. Avinash ◽  
S. Chakravarthi
Keyword(s):  
Large Scale ◽  
Protection System ◽  
Multimedia Content ◽  
Computationally Efficient ◽  
Content Protection ◽  
Protection Systems ◽  
Multimedia Content Protection ◽  
High Scalability ◽  
Cloud Infrastructures ◽  
Rapid Deployment

We propose a new design for large-scale multimedia content protection systems. Our design leverages cloud infrastructures to provide cost efficiency, rapid deployment, scalability, and elasticity to accommodate varying workloads. The proposed system can be used to protect different multimedia content types, including videos, images, audio clips, songs, and music clips. The system can be deployed on private and/or public clouds. Our system has two novel components: (i) method to create signatures of videos, and (ii) distributed matching engine for multimedia objects. The signature method creates robust and representative signatures of videos that capture the depth signals in these videos and it is computationally efficient to compute and compare as well as it requires small storage. The distributed matching engine achieves high scalability and it is designed to support different multimedia objects. We implemented the proposed system and deployed it on two clouds: Amazon cloud and our private cloud. Our experiments with more than 11,000 videos and 1 million images show the high accuracy and scalability of the proposed system. In addition, we compared our system to the protection system used by YouTube and our results show that the YouTube protection system fails to detect most copies of videos, while our system detects more than 98% of them.

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