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Comparisons of SHM sensor models with empirical test data for sandwich composite structures

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

Published

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Comparisons of SHM sensor models with empirical test data for sandwich composite structures. / Hafiychuk, V.; Luchinsky, D. G.; Smelyanskiy, V. N. et al.
Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring. 2011. p. 413-420 (Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring; Vol. 1).

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

Harvard

Hafiychuk, V, Luchinsky, DG, Smelyanskiy, VN, Tyson, R, Miller, J & Banks, C 2011, Comparisons of SHM sensor models with empirical test data for sandwich composite structures. in Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring. Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring, vol. 1, pp. 413-420, 8th International Workshop on Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures, Stanford, CA, United States, 13/09/11. <https://apps.dtic.mil/dtic/tr/fulltext/u2/a588295.pdf>

APA

Hafiychuk, V., Luchinsky, D. G., Smelyanskiy, V. N., Tyson, R., Miller, J., & Banks, C. (2011). Comparisons of SHM sensor models with empirical test data for sandwich composite structures. In Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring (pp. 413-420). (Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring; Vol. 1). https://apps.dtic.mil/dtic/tr/fulltext/u2/a588295.pdf

Vancouver

Hafiychuk V, Luchinsky DG, Smelyanskiy VN, Tyson R, Miller J, Banks C. Comparisons of SHM sensor models with empirical test data for sandwich composite structures. In Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring. 2011. p. 413-420. (Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring).

Author

Hafiychuk, V. ; Luchinsky, D. G. ; Smelyanskiy, V. N. et al. / Comparisons of SHM sensor models with empirical test data for sandwich composite structures. Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring. 2011. pp. 413-420 (Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring).

Bibtex

@inproceedings{263eb722fb10418a9173421b984d13d4,
title = "Comparisons of SHM sensor models with empirical test data for sandwich composite structures",
abstract = "This paper reports on analytical work, as well as experimental testing, that were accomplished at the Ames Research Center and at the Marshall Space Flight Center to examine acoustic wave propagating and the ability to detect intrinsic faults in sandwich type composite structures. Sandwich type composites are being studied for use in NASAs new heavy lift launch vehicle and flaw detection is crucial for safety and for failure prognostics. The work reported on in this paper involved both the theoretical modeling as well as comparison with empirical testing needed to answer the question of feasibility for reliable, and accurate, structural health monitoring (SHM) in the composite structure of interest. The analytical model of the transient wave propagation and scattering based on the Mindlin plate theory was developed. A scattered transient field properties are calculated theoretically using this model and numerically using the finite element model for acoustic waves generated by an acoustic-patch actuator. It is shown that theoretical results are in agreement with the results of numerical simulations and with experimental results.",
author = "V. Hafiychuk and Luchinsky, {D. G.} and Smelyanskiy, {V. N.} and R. Tyson and J. Miller and C. Banks",
year = "2011",
month = dec,
day = "1",
language = "English",
isbn = "9781605950532",
series = "Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring",
pages = "413--420",
booktitle = "Structural Health Monitoring 2011",
note = "8th International Workshop on Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures ; Conference date: 13-09-2011 Through 15-09-2011",

}

RIS

TY - GEN

T1 - Comparisons of SHM sensor models with empirical test data for sandwich composite structures

AU - Hafiychuk, V.

AU - Luchinsky, D. G.

AU - Smelyanskiy, V. N.

AU - Tyson, R.

AU - Miller, J.

AU - Banks, C.

PY - 2011/12/1

Y1 - 2011/12/1

N2 - This paper reports on analytical work, as well as experimental testing, that were accomplished at the Ames Research Center and at the Marshall Space Flight Center to examine acoustic wave propagating and the ability to detect intrinsic faults in sandwich type composite structures. Sandwich type composites are being studied for use in NASAs new heavy lift launch vehicle and flaw detection is crucial for safety and for failure prognostics. The work reported on in this paper involved both the theoretical modeling as well as comparison with empirical testing needed to answer the question of feasibility for reliable, and accurate, structural health monitoring (SHM) in the composite structure of interest. The analytical model of the transient wave propagation and scattering based on the Mindlin plate theory was developed. A scattered transient field properties are calculated theoretically using this model and numerically using the finite element model for acoustic waves generated by an acoustic-patch actuator. It is shown that theoretical results are in agreement with the results of numerical simulations and with experimental results.

AB - This paper reports on analytical work, as well as experimental testing, that were accomplished at the Ames Research Center and at the Marshall Space Flight Center to examine acoustic wave propagating and the ability to detect intrinsic faults in sandwich type composite structures. Sandwich type composites are being studied for use in NASAs new heavy lift launch vehicle and flaw detection is crucial for safety and for failure prognostics. The work reported on in this paper involved both the theoretical modeling as well as comparison with empirical testing needed to answer the question of feasibility for reliable, and accurate, structural health monitoring (SHM) in the composite structure of interest. The analytical model of the transient wave propagation and scattering based on the Mindlin plate theory was developed. A scattered transient field properties are calculated theoretically using this model and numerically using the finite element model for acoustic waves generated by an acoustic-patch actuator. It is shown that theoretical results are in agreement with the results of numerical simulations and with experimental results.

M3 - Conference contribution/Paper

AN - SCOPUS:84866717281

SN - 9781605950532

T3 - Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring

SP - 413

EP - 420

BT - Structural Health Monitoring 2011

T2 - 8th International Workshop on Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures

Y2 - 13 September 2011 through 15 September 2011

ER -