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HomeKey Engineering MaterialsKey Engineering Materials Vol. 347An Updated Comparison of the Force Reconstruction...

An Updated Comparison of the Force Reconstruction Methods

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Abstract:

For purposes of monitoring and damage prognosis it is important to know the external loads which act on a structure. The knowledge of these loads enables us to make an assessment of damage after extreme events and updated forecasts of the remaining life-time. In many practical applications it is not possible to measure the forces e.g. resulting from wind loads or traffic directly. Therefore, these forces are determined indirectly from dynamic measurements. In this contribution, an updated overview of available time domain load reconstruction methods is presented. An attempt of highlighting the main advantages and disadvantages of different approaches, which are used in engineering is done. The importance of sensors type as well as their locations is considered for each approach. Finally, the methods applicability to real structures, where the online reconstruction plays an important role, is discussed.

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Damage Assessment of Structures VII

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Periodical:

Key Engineering Materials (Volume 347)

Pages:

461-466

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.347.461

Citation:

Cite this paper

Online since:

September 2007

Authors:

M. Klinikov, Claus Peter Fritzen

Keywords:

Force Identification, Force Reconstruction, Ill-Posed Problem, Inverse Problem, Load Identification, Load Reconstruction, Methods Comparison

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[1] P. Johannesson, PhD thesis, Lund Institute of Technology, Denmark (1999).

[2] L.J.L. Nordström, PhD thesis, Chalmers University of Technology Sweden, Sweden (2005).

[3] K. Stevens, Proc. of SEM, Spring Meeting, Houston, (1987), pp.838-844.

[4] H. Inoue, J. Harrigan, S.R. Reid, Applied Mechanics Reviews, Vol. 54, (2001), pp.503-524.

[5] E. Jacquelin, A. Bennani, Journal of Sound and Vibration, Vol. 265, (2003), pp.81-107.

[6] J. F Doyle, R. Adams, Experimental Mechanics, Vol. 42(1), (2002), pp.25-36.

[7] G. Ginaro, A. Domingos, Proc. of 16th IMAC, California, USA (1998), pp.124-129.

[8] T. Carne, V. Bateman, R. Mayes, Proc. of 10th IMAC, California, USA (1992), pp.291-298.

[9] X.L. Guo, D.S. Li, Structural Engineering and Mechanics, Vol. 18, (2004), pp.791-806.

[10] T. Uhl, P. Macej, Mechanical Systems and Signal Processing, (2006).

[11] D. Söffker, I. Krajcin, ASME DETC Conferences, Chicago, Illinois, USA (2003).

[12] R. Seydel, F.K. Chang, Smart Materials and Structures, Vol. 10, (2001), pp.354-379.

[13] A.D. Steltzner, D.C. Kammer, Proc. of 17th IMAC, Florida, USA (1999), pp.954-960.

[14] D.M. Trujillo, H.R. Busby: Practical inverse analysis in engineering, New York, (1997).

[15] Q.P. Ha, H. Trinh, Automatica, Vol. 40, (2004), pp.1779-1785.

[16] Q.P. Ha, A.D. Nguyen, H. Trinh, Proc. 5th Asian Control Conference, (2004), pp.322-328.

[17] M. Klinkov, C.P. Fritzen, Proc. ISMA, Leuven, Belgium (2006), pp.3957-3968.

[18] P.C. Hansen: Rank deficient and discrete ill-posed problems, SIAM, Philadelphia, PA, (1998).

[19] Boyd, S., L. El Ghaoui, E. Feron, V. Balakrishnan: Linear Matrix Inequalities in Systems and Control Theory, SIAM books, Philadelphia, (1994).

DOI: 10.1137/1.9781611970777