Modeling Approach for Predicting the Rate of Frequency Change of Notched Beam Exposed to Gaussian Random Excitation

Joint Authors

Habtour, Ed
Paulus, Mark
Dasgupta, Abhijit

Source

Shock and Vibration

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-02-20

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Civil Engineering

Abstract EN

During fatigue damage accumulation, cracks propagate through the material leading to catastrophic failure.

As the cracks propagate, the natural frequency lowers, leading to a changing stress state.

A new method has been developed where the damage accumulation rate is computed in the frequency domain using Linear Elastic Fracture Mechanics (LEFM), stress intensity, and the natural frequency.

A finite element model was developed to predict the stress intensity and natural frequency during damage accumulation.

Validation of the LEFM technique was done through comparison to experimental data.

Reasonably good correlations between the FEM and the analytic model were achieved for the stress intensity and natural frequency.

American Psychological Association (APA)

Habtour, Ed& Paulus, Mark& Dasgupta, Abhijit. 2014. Modeling Approach for Predicting the Rate of Frequency Change of Notched Beam Exposed to Gaussian Random Excitation. Shock and Vibration،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1047863

Modern Language Association (MLA)

Habtour, Ed…[et al.]. Modeling Approach for Predicting the Rate of Frequency Change of Notched Beam Exposed to Gaussian Random Excitation. Shock and Vibration No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1047863

American Medical Association (AMA)

Habtour, Ed& Paulus, Mark& Dasgupta, Abhijit. Modeling Approach for Predicting the Rate of Frequency Change of Notched Beam Exposed to Gaussian Random Excitation. Shock and Vibration. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1047863

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1047863