A new shell study for dynamical characteristics of nanocomposite shells with various complex profiles – Sinusoidal and cosine shells

2022 ◽  
Vol 251 ◽  
pp. 113354
Author(s):  
Dinh Gia Ninh ◽  
Vu Ngoc Viet Hoang
Keyword(s):  
Dynamical Characteristics

scholarly journals Computer approximation of air gauge dynamic characteristics using the sine input test rig

2019 ◽  
Vol 252 ◽  
pp. 02002
Author(s):  
Michał Jakubowicz ◽  
Mirosław Rucki ◽  
Zbigniew Siemiątkowski
Keyword(s):  
Dynamic Error ◽  
Calibration Procedure ◽  
Back Pressure ◽  
Test Rig ◽  
Process Measurement ◽  
Dynamical Characteristics ◽  
Full Control ◽  
Circular Frequency ◽  
Measuring Signal ◽  
Input Test

The paper describes the test rig dedicated for air gauge dynamical characteristics assessment. The computerised system enables measurement of the amplitudes of back-pressure pk dependent on the input signal circular frequency ω. Dedicated software performs full control on the calibration procedure, which consists of setting a rotational speed and registration of measuring signal, and further data processing. Circular frequency ω was gradually changed with the appropriate step, in order to obtain a series of frequencies in the range from 0.1 to 20 Hz. The response of a measurement system was registered as a sinusoidal curve which after smoothening and interpolation procedures provided an amplitude-frequency graph with its main characteristics, such as time constant and the frequency f0.95 that generated dynamic error 5%. It was demonstrated that sine input dynamic calibration corresponds with real conditions of the in-process measurement with air gauges.

Water film motor driven by alternating electric fields: Its dynamical characteristics

2012 ◽  
Vol 85 (3) ◽  
Author(s):  
Zhong-Qiang Liu ◽  
Guang-Cai Zhang ◽  
Ying-Jun Li ◽  
Su-Rong Jiang
Keyword(s):  
Electric Fields ◽  
Water Film ◽  
Dynamical Characteristics ◽  
Alternating Electric Fields

Coding of Temporally Varying Signals in Networks of Spiking Neurons with Global Delayed Feedback

2005 ◽  
Vol 17 (10) ◽  
pp. 2139-2175 ◽  
Author(s):  
Naoki Masuda ◽  
Brent Doiron ◽  
André Longtin ◽  
Kazuyuki Aihara
Keyword(s):  
Information Processing ◽  
Stimulus Frequency ◽  
Spiking Neurons ◽  
Feedforward Networks ◽  
Dynamical Characteristics ◽  
Neural Activities ◽  
Inherent Frequency ◽  
Types Of Information ◽  
The Brain

Oscillatory and synchronized neural activities are commonly found in the brain, and evidence suggests that many of them are caused by global feedback. Their mechanisms and roles in information processing have been discussed often using purely feedforward networks or recurrent networks with constant inputs. On the other hand, real recurrent neural networks are abundant and continually receive information-rich inputs from the outside environment or other parts of the brain. We examine how feedforward networks of spiking neurons with delayed global feedback process information about temporally changing inputs. We show that the network behavior is more synchronous as well as more correlated with and phase-locked to the stimulus when the stimulus frequency is resonant with the inherent frequency of the neuron or that of the network oscillation generated by the feedback architecture. The two eigenmodes have distinct dynamical characteristics, which are supported by numerical simulations and by analytical arguments based on frequency response and bifurcation theory. This distinction is similar to the class I versus class II classification of single neurons according to the bifurcation from quiescence to periodic firing, and the two modes depend differently on system parameters. These two mechanisms may be associated with different types of information processing.

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