scholarly journals Mechanical and electrical properties of the solid sapropel

2015 ◽  
Vol 1 ◽  
pp. 139
Author(s):  
Andris Martinovs ◽  
Josef Timmerberg ◽  
Rasma Tretjakova ◽  
Paul Beckmann ◽  
Valentina Popa ◽  
...  
Keyword(s):  
Electrical Properties ◽  
Electric Field ◽  
Compression Strength ◽  
Electrical Resistance ◽  
Relative Permittivity ◽  
Ultimate Strain ◽  
Drying Process ◽  
Field Frequency ◽  
Mechanical And Electrical Properties ◽  
Electric Field Frequency

In this paper are explored the mechanical (ultimate compression strength, ultimate strain, Young’s modulus, hardness) and the electrical (relative permittivity, specific electrical resistance, quality factor, their dependence on the electric field frequency in the range till 1MHz) properties of the solid sapropel. For the researches are used samples from the solid, monolith sapropel (obtained in the drying process) and samples from the sapropel powder that are pressed with a different force; before the measurements, a part of these samples were heated. There is explored the dependence of the relative permittivity on temperature. Are explored the methods for the forming of the products from the solid sapropel powder.

Modified Morris-Lecar neuron model: Effects of very low frequency electric fields and of magnetic fields on the local and network dynamics of an excitable media

2021 ◽  
Author(s):  
Karthikeyan Rajagopal ◽  
Irene Moroz ◽  
Balamurali Ramakrishnan ◽  
Anitha Karthikeyan ◽  
Prakash Duraisamy
Keyword(s):  
Magnetic Field ◽  
Magnetic Fields ◽  
Electric Field ◽  
Neuron Model ◽  
Low Noise ◽  
Spiral Waves ◽  
Excitable Media ◽  
Field Frequency ◽  
Electric And Magnetic Fields ◽  
Electric Field Frequency

Abstract A Morris-Lecar neuron model is considered with Electric and Magnetic field effects where the electric field is a time varying sinusoid and magnetic field is simulated using an exponential flux memristor. We have shown that the exposure to electric and magnetic fields have significant effects on the neurons and have exhibited complex oscillations. The neurons exhibit a frequency-locked state for the periodic electric field and different ratios of frequency locked states with respect to the electric field frequency is also presented. To show the impact of the electric and magnetic fields on network of neurons, we have constructed different types of network and have shown the network wave propagation phenomenon. Interestingly the nodes exposed to both electric and magnetic fields exhibit more stable spiral waves compared to the nodes exhibited only to the magnetic fields. Also, when the number of layers are increased the range of electric field frequency for which the layers exhibit spiral waves also increase. Finally the noise effects on the field affected neuron network are discussed and multilayer networks supress spiral waves for a very low noise variance compared against the single layer network.

Effect of the electric field frequency on heat exchange in free convection

1984 ◽  
Vol 47 (3) ◽  
pp. 1023-1026
Author(s):  
Yu. K. Solomatnikov ◽  
A. G. Usmanov ◽  
D. M. Mikhailov
Keyword(s):  
Heat Exchange ◽  
Free Convection ◽  
Electric Field ◽  
Field Frequency ◽  
Electric Field Frequency

Psychophysical Assessment of Catfish Electro-Sensitivity Versus Temperature and Electric Field Frequency

1994 ◽  
Vol 45 (3-4) ◽  
pp. 347-361 ◽  
Author(s):  
R.C. Peters ◽  
F. Bretschneider ◽  
W.J.G. Loos ◽  
P.S. Heijmen
Keyword(s):  
Electric Field ◽  
Field Frequency ◽  
Electric Field Frequency

scholarly journals Environment-Friendly, Self-Sensing Concrete Blended with Byproduct Wastes

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1925
Author(s):  
Marat Konkanov ◽  
Talal Salem ◽  
Pengcheng Jiao ◽  
Rimma Niyazbekova ◽  
Nizar Lajnef
Keyword(s):  
Electrical Properties ◽  
Electrical Resistance ◽  
Blast Furnace Slag ◽  
Coal Fly Ash ◽  
Environment Friendly ◽  
Research Attention ◽  
Mechanical And Electrical Properties ◽  
Significant Research ◽  
Parametric Studies ◽  
Furnace Slag

Smart structures have attracted significant research attention in the last decade, mainly due to the capabilities of advanced concrete in electrical resistance-enabled self-sensing. In this study, we present a type of environment-friendly, self-sensing concrete enabled by electrical resistance. Environment-friendly, self-sensing concrete was casted with the additions of byproduct wastes (i.e., coal fly ash (FA), blast furnace slag (BOF) and red mud (RM)) at various volume fractions and cured using the conditions of 3, 7 and 28 days. The self-sensing concrete samples were experimentally tested to investigate the effects of the byproduct wastes on the mechanical and electrical properties (i.e., compressive strength and electrical resistance). In the end, parametric studies were experimentally conducted to investigate the influences of the byproduct wastes on the mechanical and electrical properties of the reported environment-friendly, self-sensing concrete.

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