Modal test/analysis correlation for the Centaur G prime launch vehicle

1987 ◽  
Vol 24 (5) ◽  
pp. 423-429 ◽  
Author(s):  
J. Chen ◽  
T. Rose ◽  
M. Trubert ◽  
B. Wada ◽  
F. Shaker
Keyword(s):  
Launch Vehicle ◽  
Test Analysis ◽  
Modal Test

Modal test/analysis correlation for Centaur G Prime launch vehicle

1986 ◽  
Author(s):  
J. CHEN ◽  
T. ROSE ◽  
M. TRUBERT ◽  
B. WADA ◽  
F. SHAKER
Keyword(s):  
Launch Vehicle ◽  
Test Analysis ◽  
Modal Test

Modal test/analysis correlation of Space Station structures using nonlinear sensitivity

1992 ◽  
Author(s):  
VINEY GUPTA ◽  
JAMES NEWELL ◽  
LASZLO BERKE ◽  
SASAN ARMAND
Keyword(s):  
Space Station ◽  
Test Analysis ◽  
Modal Test

An effective method for damage assessment based on limited measured locations in skeletal structures

2020 ◽  
Vol 24 (1) ◽  
pp. 183-195 ◽  
Author(s):  
Parsa Ghannadi ◽  
Seyed Sina Kourehli
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Damage Detection ◽  
Degrees Of Freedom ◽  
Truss Structures ◽  
Mode Shapes ◽  
Analysis Model ◽  
Test Analysis ◽  
Modal Test ◽  
Artificial Neural

This article proposes a new damage detection method using Modal Test Analysis Model and artificial neural networks. A challenge in damage detection problems is lack of measured degrees of freedom, as well as limitations of attached sensors. Modal Test Analysis Model has been used in order to estimate unmeasured degrees of freedom. An experimental cantilever beam was used to show Modal Test Analysis Model’s efficiency in estimation of unmeasured mode shapes. To solve the inverse problem of damage detection, mode shapes estimated by Modal Test Analysis Model were used as inputs, and characteristics of the damage served as outputs of the artificial neural network. The sensitivity analysis carried out for each example showing the performance of artificial neural network after mode shape expansion was efficiently improved. Three numerical examples for plane and space truss structures are considered, in order to verify effectiveness of the proposed method. Results demonstrate a high accuracy of Modal Test Analysis Model and artificial neural network for structural damage detection.

scholarly journals Ares I-X Launch Vehicle Modal Test Measurements and Data Quality Assessments

2011 ◽  
pp. 1017-1027
Author(s):  
Justin D. Templeton ◽  
Ralph D. Buehrle ◽  
James L. Gaspar ◽  
Russel A. Parks ◽  
Daniel R. Lazor
Keyword(s):  
Data Quality ◽  
Launch Vehicle ◽  
Modal Test ◽  
Quality Assessments ◽  
Ares I

scholarly journals Ares I-X Launch Vehicle Modal Test Overview

2011 ◽  
pp. 999-1009 ◽  
Author(s):  
Ralph D. Buehrle ◽  
Justin D. Templeton ◽  
Mercedes C. Reaves ◽  
Lucas G. Horta ◽  
James L. Gaspar ◽  
...  
Keyword(s):  
Launch Vehicle ◽  
Modal Test ◽  
Ares I
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