Dynamic Strain Measurement using a Fiber Optic Distributed Sensor

2000 ◽  
Vol 2000 (0) ◽  
pp. 111-112
Author(s):  
Takayuki SHIMIZU ◽  
Takashi YARI ◽  
Kanehiro NAGAI ◽  
Nobuo TAKEDA
2001 ◽  
Vol 99 (1) ◽  
pp. 207-213
Author(s):  
W. Konopka ◽  
T.R. Woliński ◽  
A.W. Domański ◽  
M.A. Karpierz

2008 ◽  
Vol 8 (7) ◽  
pp. 1067-1072 ◽  
Author(s):  
Prabodh Chaube ◽  
Bruce G. Colpitts ◽  
Deepak Jagannathan ◽  
Anthony W. Brown

1997 ◽  
Author(s):  
Toshio Kurashima ◽  
Tomonori Usu ◽  
Kuniaki Tanaka ◽  
Atsushi Nobiki ◽  
Masashi Sato ◽  
...  

2016 ◽  
Vol 2016 (0) ◽  
pp. J0440402
Author(s):  
Fumiya FUJIMORI ◽  
Yo NISHIOKA ◽  
Tetsuo TAMAOKI ◽  
Tsuyoshi MATSUO ◽  
Hideaki MURAYAMA ◽  
...  

2021 ◽  
Author(s):  
Rafael Mancuso Paraiso Cavalcanti ◽  
Jaqueline Bierende ◽  
Beatriz Brusamarello ◽  
Jean Carlos Cardozo Da Silva ◽  
Giovanni Alfredo Guarneri ◽  
...  

Author(s):  
Mark D. Sensmeier ◽  
Kurt L. Nichol

Correlation between dynamic strain gage measurements and modal analysis results can be adversely affected by gage misplacement and gage misorientation. An optimization algorithm has been developed which allows the modeled strain gage locations and orientations to be varied within specified tolerances. An objective function is defined based on the least squares sum of the differences between experimental and model results. The Kuhn-Tucker conditions are then applied to find the gage locations and orientations which minimize this objective function. The procedure is applied on a one-time basis considering all measured modes of vibration simultaneously. This procedure minimizes instrumentation error which then allows the analyst to modify the model to more accurately represent other factors, including boundary conditions. Flat plate vibratory data was used to demonstrate a significant improvement in correlation between measured data and model predictions.


2012 ◽  
Vol 51 (8) ◽  
pp. 1033 ◽  
Author(s):  
De-Wen Duan ◽  
Yun-jiang Rao ◽  
Yu-Song Hou ◽  
Tao Zhu

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