Impact Load Identification Based on Local Measurements

Marcin Wiklo; Jan Holnicki-Szulc

doi:10.4028/www.scientific.net/KEM.293-294.159

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 293-294Impact Load Identification Based on Local...

Impact Load Identification Based on Local Measurements

Abstract:

A new methodology for load identification is proposed. The global dynamic structural response is modeled using only pre-computed, time dependent, dynamic influence matrix, describing structural response to locally generated unit impulses. Then, the impact load identification procedure is based on distance minimization between the modeled and measured local dynamic responses in sensor locations. The theoretical background as well as numerical examples is presented.

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Key Engineering Materials (Volumes 293-294)

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159-166

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.293-294.159

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Online since:

September 2005

Authors:

Marcin Wiklo, Jan Holnicki-Szulc

Keywords:

Impact Detection, Inverse Dynamics, Structural Health Monitoring (SHM)

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References

[1] M. Wiklo, J. Holnicki-Szulc: 2 nd European Workshop on Structural Health Monitoring (Munich, Germany, July 7-9, 2004).

Google Scholar

[2] R.E. Seydel, F-K. Chang: Proc. 2 nd International Workshop on Structural Health Monitoring (Stanford University, Stanford C.A. USA, Sept 8-10, 1999).

Google Scholar

[3] P.T. Coverly, W.J. Staszewski: Proc. 1 st European Workshop on Structural Health Monitoring (Ecole Normale Superieure, Cachan, France, July 10-12, 2002).

Google Scholar

[4] L. Gaul, S. Hurlebaus: Archive of Applied Mechanics Vol. 69 (1999), p.691.

Google Scholar

[5] L. Gaul, S. Hurlebaus: Mechanical Systems and Signal Processing Vol. 12, No. 6, p.783.

Google Scholar

[6] Holnicki-Szulc, J., Gierliński, J.T.: Structural Analysis, Design and Control by the VDM Method (J. Wiley & Sons, Chichester, 1995).

Google Scholar

[7] M.A. Akgun, J.H. Garcelon and R.T. Haftka: Int. Journal for Numerical Methods in Engineering, Vol. 50 (2001) p.1587.

Google Scholar

[8] J. Holnicki-Szulc, M. Wiklo: Proc. 3 rd World Conference on Structural Control (Como, Italy, 7-12, 2002).

Google Scholar

[9] J. Holnicki-Szulc, P. Pawlowski, M. Wiklo: Smart Materials and Structures Vol. 12 (2003).

Google Scholar

[10] M. Wiklo, J. Holnicki-Szulc: 2nd European Workshop on Structural Health Monitoring (7-9 July, 2004, Munich, Germany).

Google Scholar