Home > Research > Publications & Outputs > Theoretical background and prognostic modeling ...

Links

View graph of relations

Theoretical background and prognostic modeling for benchmarking SHM sensors for composite structures

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

Theoretical background and prognostic modeling for benchmarking SHM sensors for composite structures. / Smelyanski, Vadim; Hafiychuk, Vasyl; Luchinsky, Dmitry G. et al.
Annual Conference of the Prognostics and Health Management Society, PHM 2010. Prognostics and Health Management Society 2015, 2010. (Annual Conference of the Prognostics and Health Management Society, PHM 2010).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Smelyanski, V, Hafiychuk, V, Luchinsky, DG, Banks, C, Conn, C, Miller, J & Watson, M 2010, Theoretical background and prognostic modeling for benchmarking SHM sensors for composite structures. in Annual Conference of the Prognostics and Health Management Society, PHM 2010. Annual Conference of the Prognostics and Health Management Society, PHM 2010, Prognostics and Health Management Society 2015, Annual Conference of the Prognostics and Health Management Society, PHM 2010, Portland, United States, 13/10/10. <https://www.phmsociety.org/node/421>

APA

Smelyanski, V., Hafiychuk, V., Luchinsky, D. G., Banks, C., Conn, C., Miller, J., & Watson, M. (2010). Theoretical background and prognostic modeling for benchmarking SHM sensors for composite structures. In Annual Conference of the Prognostics and Health Management Society, PHM 2010 (Annual Conference of the Prognostics and Health Management Society, PHM 2010). Prognostics and Health Management Society 2015. https://www.phmsociety.org/node/421

Vancouver

Smelyanski V, Hafiychuk V, Luchinsky DG, Banks C, Conn C, Miller J et al. Theoretical background and prognostic modeling for benchmarking SHM sensors for composite structures. In Annual Conference of the Prognostics and Health Management Society, PHM 2010. Prognostics and Health Management Society 2015. 2010. (Annual Conference of the Prognostics and Health Management Society, PHM 2010).

Author

Smelyanski, Vadim ; Hafiychuk, Vasyl ; Luchinsky, Dmitry G. et al. / Theoretical background and prognostic modeling for benchmarking SHM sensors for composite structures. Annual Conference of the Prognostics and Health Management Society, PHM 2010. Prognostics and Health Management Society 2015, 2010. (Annual Conference of the Prognostics and Health Management Society, PHM 2010).

Bibtex

@inproceedings{782ad0ed1c2c4307895a4f23de28e028,
title = "Theoretical background and prognostic modeling for benchmarking SHM sensors for composite structures",
abstract = "This paper reports on analytical as well as computer simulation of waves propagating in sandwich-type composite structures. Sandwich-type composites are being studied for use in NASA's new heavy lift launch vehicle, and flaw detection is crucial for safety and for failure prognostics. Theoretical analysis, as well as numerical modeling, is needed for benchmarking of available technologies for structural health monitoring (SHM) sensors and sensor systems. This benchmarking activity is important for answering the basic question of what minimum flaw size can be detected by the existing SHM based monitoring methods. Sandwich panels with foam, WebCore and honeycomb structures were considered for use in this study. Eigenmode frequency analysis and Frequency Response Analysis of the panels were made to understand fundamental properties of the panel physics and limitations that may affect the application of current SHM sensors and methods. An analytical study of the transient wave propagation is considered based on Mindlin plate theory. The mathematical model, accompanied by numerical simulations, shows that small size defects can be recognized but the frequency of waves should be sufficiently high. It is concluded that a combination of analytical results coupled with the high-fidelity simulations should make it possible to analyze experimental data and to predict the applicability of SHM methods for this type of structure.",
author = "Vadim Smelyanski and Vasyl Hafiychuk and Luchinsky, {Dmitry G.} and Curtis Banks and Chris Conn and Jim Miller and Mike Watson",
year = "2010",
month = jan,
day = "1",
language = "English",
series = "Annual Conference of the Prognostics and Health Management Society, PHM 2010",
publisher = "Prognostics and Health Management Society 2015",
booktitle = "Annual Conference of the Prognostics and Health Management Society, PHM 2010",
note = "Annual Conference of the Prognostics and Health Management Society, PHM 2010 ; Conference date: 13-10-2010 Through 16-10-2010",

}

RIS

TY - GEN

T1 - Theoretical background and prognostic modeling for benchmarking SHM sensors for composite structures

AU - Smelyanski, Vadim

AU - Hafiychuk, Vasyl

AU - Luchinsky, Dmitry G.

AU - Banks, Curtis

AU - Conn, Chris

AU - Miller, Jim

AU - Watson, Mike

PY - 2010/1/1

Y1 - 2010/1/1

N2 - This paper reports on analytical as well as computer simulation of waves propagating in sandwich-type composite structures. Sandwich-type composites are being studied for use in NASA's new heavy lift launch vehicle, and flaw detection is crucial for safety and for failure prognostics. Theoretical analysis, as well as numerical modeling, is needed for benchmarking of available technologies for structural health monitoring (SHM) sensors and sensor systems. This benchmarking activity is important for answering the basic question of what minimum flaw size can be detected by the existing SHM based monitoring methods. Sandwich panels with foam, WebCore and honeycomb structures were considered for use in this study. Eigenmode frequency analysis and Frequency Response Analysis of the panels were made to understand fundamental properties of the panel physics and limitations that may affect the application of current SHM sensors and methods. An analytical study of the transient wave propagation is considered based on Mindlin plate theory. The mathematical model, accompanied by numerical simulations, shows that small size defects can be recognized but the frequency of waves should be sufficiently high. It is concluded that a combination of analytical results coupled with the high-fidelity simulations should make it possible to analyze experimental data and to predict the applicability of SHM methods for this type of structure.

AB - This paper reports on analytical as well as computer simulation of waves propagating in sandwich-type composite structures. Sandwich-type composites are being studied for use in NASA's new heavy lift launch vehicle, and flaw detection is crucial for safety and for failure prognostics. Theoretical analysis, as well as numerical modeling, is needed for benchmarking of available technologies for structural health monitoring (SHM) sensors and sensor systems. This benchmarking activity is important for answering the basic question of what minimum flaw size can be detected by the existing SHM based monitoring methods. Sandwich panels with foam, WebCore and honeycomb structures were considered for use in this study. Eigenmode frequency analysis and Frequency Response Analysis of the panels were made to understand fundamental properties of the panel physics and limitations that may affect the application of current SHM sensors and methods. An analytical study of the transient wave propagation is considered based on Mindlin plate theory. The mathematical model, accompanied by numerical simulations, shows that small size defects can be recognized but the frequency of waves should be sufficiently high. It is concluded that a combination of analytical results coupled with the high-fidelity simulations should make it possible to analyze experimental data and to predict the applicability of SHM methods for this type of structure.

M3 - Conference contribution/Paper

AN - SCOPUS:84920540887

T3 - Annual Conference of the Prognostics and Health Management Society, PHM 2010

BT - Annual Conference of the Prognostics and Health Management Society, PHM 2010

PB - Prognostics and Health Management Society 2015

T2 - Annual Conference of the Prognostics and Health Management Society, PHM 2010

Y2 - 13 October 2010 through 16 October 2010

ER -