Experimental and analytical study of the dynamic response of low-porosity brittle rocks

1993 ◽  
Vol 98 (B12) ◽  
pp. 22081-22094 ◽  
Author(s):  
Geza Nagy ◽  
Hidenori Murakami ◽  
Gilbert A. Hegemier ◽  
Alexander L. Florence
Keyword(s):  
Dynamic Response ◽  
Analytical Study ◽  
Brittle Rocks ◽  
Low Porosity

scholarly journals Analytical Study on Dynamic Response of RC Buildings Retrofitted by Compressive CFT Braces

2011 ◽  
Vol 22 (2) ◽  
pp. 2_1-2_10
Author(s):  
Hiroyuki Nakahara ◽  
Yuichi Nishida ◽  
Kenji Sakino ◽  
Koichiro Kitajima
Keyword(s):  
Dynamic Response ◽  
Analytical Study ◽  
Rc Buildings

Experimental and Analytical Study of Pantograph Dynamics

1991 ◽  
Vol 113 (2) ◽  
pp. 242-247 ◽  
Author(s):  
W. Seering ◽  
K. Armbruster ◽  
C. Vesely ◽  
D. Wormley
Keyword(s):  
Experimental Data ◽  
Dynamic Response ◽  
Coulomb Friction ◽  
Close Agreement ◽  
Analytical Study ◽  
Model Performance ◽  
Nonlinear Effects ◽  
Variable Stiffness ◽  
Response Data ◽  
Lumped Parameter

A nonlinear, lumped parameter pantograph model including geometric and coulomb friction nonlinearities and variable stiffness has been developed. The model performance has been compared with experimental dynamic response data measured on a prototype pantograph. Responses of the model and the experimental data including subharmonic and harmonic resonances are in close agreement for motions excited by comparable forcing functions for input frequencies of 0 to 12 Hz. The model has been used to identify the primary parameters and nonlinear effects which influence dynamic pantograph performance.

Tunable Microelectromechanical Filters that Exploit Parametric Resonance

2005 ◽  
Vol 127 (5) ◽  
pp. 423-430 ◽  
Author(s):  
Jeffrey F. Rhoads ◽  
Steven W. Shaw ◽  
Kimberly L. Turner ◽  
Rajashree Baskaran
Keyword(s):  
Dynamic Response ◽  
Parametric Resonance ◽  
Analytical Study ◽  
Bandpass Filter ◽  
Mems Oscillators ◽  
Highly Effective ◽  
Linear Resonance ◽  
Parametric Instabilities

Background: This paper describes an analytical study of a bandpass filter that is based on the dynamic response of electrostatically-driven MEMS oscillators. Method of Approach: Unlike most mechanical and electrical filters that rely on direct linear resonance for filtering, the MEM filter presented in this work employs parametric resonance. Results: While the use of parametric resonance improves some filtering characteristics, the introduction of parametric instabilities into the system does present some complications with regard to filtering. Conclusions: The aforementioned complications can be largely overcome by implementing a pair of MEM oscillators with tuning schemes and some processing logic to produce a highly effective bandpass filter.

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