Modeling and dynamic simulation of novel dual-wave shock test machine

Author(s):  
Wen Zhaodong ◽  
Wang Yu ◽  
Zhang Lei ◽  
Du Jianye
1986 ◽  
Vol 29 (2) ◽  
pp. 54-57
Author(s):  
John Favour

This paper discusses the design and control of a large hydraulic shock testing device. The system is capable of peak velocities up to 10.2 m/s (400 in/sec) and peak forces up to 801 kN (180,000 lbs). The major challenges discussed are: 1) the concept design, 2) the specification and procurement of two very large (2500 gpm) electro-hydraulic servovalves and 3) the failsafe control of the servovalves and system response. The system performance is briefly discussed.


2006 ◽  
Author(s):  
Marlin E. Keefer ◽  
Terrence J. Wilke ◽  
Alfred A. Jagaczewski ◽  
Paul M. Wells ◽  
Patricia F. Hnat

2014 ◽  
Vol 38 (6) ◽  
pp. 663-668
Author(s):  
Tae Hyeong Kim ◽  
Chang Won Shul ◽  
Yoon Jae Kim ◽  
Myung Seog Yang ◽  
Gyu Sub Lee

Author(s):  
Dedong Huang ◽  
Jingjing Wen ◽  
Liangliang Xing ◽  
Guoning Wei ◽  
Bin Wu

A nonlinear dynamic model for describing shock response of half-sine programmer in shock test is constructed, in which many important factors in half-sine programmer such as size, hard nonlinearity, damping and initial impact velocity are considered, based on the damped Duffing equation, and the empirical static stiffness and shock stiffness calculation formulas of cylindrical rubber isolator. The shock pulse of half-sine programmer is measured and calculated by using shock test machine and Runge-Kutta method. Taking the minimum determination coefficient between the calculated and the measured shock pulse as the optimization objective, the parameters in the present model are determined by using quantum genetic algorithm (QGA), and meanwhile the extreme capacity in the present model for describing the dynamic behavior of half-sine programmer under shock excitations can also be verified. Experiments were implemented with drop shock test machine. The experimental results show that the present model is precise and efficient, and the prediction errors of pulse peaks and pulse widths were all below 5%, the waveform fitting errors between the calculated and the measured pulses are all less than 15%. The present results are helpful for designing the half-sine programmer.


2010 ◽  
Vol 24 (5) ◽  
pp. 1570-1578 ◽  
Author(s):  
Sujuan Jiao ◽  
Yu Wang ◽  
Lei Zhang ◽  
Hongxing Hua

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