scholarly journals Preliminary investigation of the tsunami-borne debris impact on structures: a new method for impact force measurement

2014 ◽  
Author(s):  
S. R. Shafiei ◽  
B. W. Melville ◽  
S. Beskhyroun ◽  
A. Y. Shamseldin
Keyword(s):  
Impact Force ◽  
Force Measurement ◽  
Preliminary Investigation ◽  
New Method ◽  
Debris Impact

Intravenous Angiography Using Scanned Projection Radiography: Preliminary Investigation of a New Method

1980 ◽  
Vol 15 (3) ◽  
pp. 220-223 ◽  
Author(s):  
WILLIAM R. BRODY ◽  
ALBERT MACOVSKI ◽  
LEONARD LEHMANN ◽  
FRANK A. DiBIANCA ◽  
DONALD VOLZ ◽  
...  
Keyword(s):  
Preliminary Investigation ◽  
New Method ◽  
Projection Radiography ◽  
Intravenous Angiography

Impact Force Measurement of a Spherical Body Dropping onto a Water Surface from Different Heights

2014 ◽  
Vol 2 (4) ◽  
pp. 137-142
Author(s):  
Ryosuke Araki ◽  
Akihiro Takita ◽  
Tsuneaki Ishima ◽  
Edwin Carcasona ◽  
Yusaku Fujii
Keyword(s):  
Water Surface ◽  
Impact Force ◽  
Force Measurement ◽  
Spherical Body

G2300101 Impact Force Measurement using Inertial Sensor for Practice Hitting in Rugby-football

2015 ◽  
Vol 2015 (0) ◽  
pp. _G2300101--_G2300101-
Author(s):  
Kenji NAKASHIMA ◽  
Yuuki JOHNO ◽  
Fuminori MATSUYAMA ◽  
Toshinobu SHIGEMATSU ◽  
Kiyoshi HIROSE
Keyword(s):  
Impact Force ◽  
Force Measurement ◽  
Inertial Sensor

1A1-H14 Study of Impact Force Measurement on a Golf Club

2008 ◽  
Vol 2008 (0) ◽  
pp. _1A1-H14_1-_1A1-H14_4
Author(s):  
Akira HASEGAWA ◽  
Yusuke TANAKA ◽  
Eiji IWASE ◽  
Kiyoshi MATSUMOTO ◽  
Isao SHIMOYAMA
Keyword(s):  
Impact Force ◽  
Force Measurement ◽  
Golf Club

311 Impact Force Measurement using the Inertial Sensor for Contact Play in Rugby Football

2013 ◽  
Vol 2013 (0) ◽  
pp. _311-1_-_311-7_
Author(s):  
Kenji NAKASHIMA ◽  
Yuuki JOHNO ◽  
Takashi KAWAHARA ◽  
Ryoichi DOUHIRA ◽  
Tim GABBETT
Keyword(s):  
Impact Force ◽  
Force Measurement ◽  
Inertial Sensor

B-32 Simplified touchdown impact force measurement in treadmill running

2009 ◽  
Vol 2009 (0) ◽  
pp. 397-400
Author(s):  
Ryota SHINAYAMA ◽  
Takehiro TAGAWA ◽  
Kenji SAKAMOTO ◽  
Tsuyoshi NISHIWAKI
Keyword(s):  
Impact Force ◽  
Force Measurement ◽  
Treadmill Running

A New Method for Detecting Jet Impact Force of Laser Cavity

2013 ◽  
Vol 552 ◽  
pp. 463-469 ◽  
Author(s):  
Ming Li ◽  
Rong Qing Xu
Keyword(s):  
Laser Ablation ◽  
Impact Force ◽  
Target Material ◽  
Laser Cavity ◽  
The Other ◽  
New Method ◽  
Impact Forces ◽  
Jet Impact ◽  
Variational Characteristic ◽  
Experiment Device

Based on the deflection effect resulted from deformation, a new experiment device for measuring the jet impact force of laser cavity is developed. The device has been used in experiment and the typical signal of jet impact force was obtained. The variational characteristic of the force with time was given. The result shows that during the experiment the target material sustains three forces. In order of time, the first force is the laser ablation force, and the other two forces are jet impact forces. The first jet impact force is greater than the ablation force and the second jet impact force is smaller than the first jet impact force.

scholarly journals Intelligent Force-Measurement System Use in Shock Tunnel

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6179
Author(s):  
Yunpeng Wang ◽  
Zonglin Jiang
Keyword(s):  
Deep Learning ◽  
Measurement System ◽  
Force Measurement ◽  
Aerodynamic Force ◽  
Low Frequency ◽  
Shock Tunnel ◽  
New Method ◽  
Test Results ◽  
Force Measurement System ◽  
The Impact

The inertial vibration of the force measurement system (FMS) has a large influence on the force measuring result of aircraft, especially on some tests carried out in high-enthalpy impulse facilities, such as in a shock tunnel. When force tests are conducted in a shock tunnel, the low-frequency vibrations of the FMS and its motion cannot be addressed through digital filtering because of the inertial forces, which are caused by the impact flow during the starting process of the shock tunnel. Therefore, this paper focuses on the dynamic characteristics of the performance of the FMS. A new method—i.e., deep-learning-based single-vector dynamic self-calibration (DL-based SV-DSC) of an impulse FMS, is proposed to increase the accuracy of aerodynamic force measurements in a shock tunnel. A deep-learning technique is used to train the dynamic model of the FMS in this study. Convolutional neural networks with a simple structure are applied to describe the dynamic modeling so that the low-frequency vibration signals are eliminated from the test results of the shock tunnel. By validation of the force test results measured in a shock tunnel, the current trained model can realize intelligent processing of the balance signals of the FMS. Based on this new method of dynamic calibration, the reliability and accuracy of force data processing are well verified.

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