Nonparametric identification of added masses in frequency domain: a numerical study

• Autorzy: Suwała G. , Biczyk J. , Jankowski Ł.
• Języki publikacji: EN

Abstrakty

EN

This paper presents a theoretical derivation and reports on a numerical verification of a model-free method for identification of added masses in truss structures. No parametric numerical model of the monitored structure is required, so there is no need for initial model updating and fine tuning. This is a continuation and an improvement of a previous research that resulted in a time-domain identification method, which was tested to be accurate but very time-consuming. A general methodology is briefly introduced, including the inverse problem, and a numerical verification is reported. The aim of the numerical study is to test the accuracy of the proposed method and its sensitivity to various parameters (such as simulated measurement noise and decay rate of the exponential FFT window) in a numerically controlled environment. The verification uses a finite element model of the same real structure that was tested with the time-domain version of the approach. A natural further step is a lab verification based on experimental data.

Słowa kluczowe

EN

structural health monitoring; mass identification; frequency domain; virtual distortion method

PL

czujniki pomiarowe; inteligentne czujniki pomiarowe; domena częstotliwości

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: IPPT Reports on Fundamental Technological Research
• Rocznik: 2013
• Tom: nr 4
• Strony: 37--41
• Opis fizyczny: Bibliogr. 8 poz., rys.

Twórcy

autor

Suwała G.

• Institute of Fundamental Technological Research Polish Academy of Sciences Department of Intelligent Technologies Pawińskiego 5B, 02-106 Warszawa, Poland

autor

Biczyk J.

• Adaptronica sp. z o.o. Szpitalna 32, 05-092 Łomianki, Poland

autor

Jankowski Ł.

• Institute of Fundamental Technological Research Polish Academy of Sciences Department of Intelligent Technologies Pawińskiego 5B, 02-106 Warszawa, Poland

Bibliografia

• 1. G. SUWAŁA, Ł. JANKOWSKI, A model-free method for identification of mass modifications, Structural Control & Health Monitoring 19(2), 216-230, 2012.
• 2. G. SUWAŁA, Ł. JANKOWSKI, Experimental study of a model-free method for identification of stiffness-related structural damages, Proc. of the 6th European Workshop on Structural Health Monitoring, pp. 714-721, Dresden, Germany, July 3-6, 2012.
• 3. G. SUWAŁA, Ł. JANKOWSKI, A model-less method impact mass identification, Proc. of the 4th European Workshop on Structural Health Monitoring, pp. 374-381, Kraków, Poland, July 2-4, 2008.
• 4. P. KOŁAKOWSKI, M. WIKŁO, J. HOLNICKI-SZULC, The virtual distortion method a versatile re-analysis tool for structures and systems, Structural and Multidisciplinary Optimization, 36(3), 217-234, 2008.
• 5. C.-P. FRITZEN, P. KRAEMER, Self-diagnosis of smart structures based on dynamical properties, Mechanical Systems and Signal Processing, 23(6), 1830-1845, 2009.
• 6. S.W. DOEBLING, CR. FARRAR, M.B. PRIME, A summary review of vibration-based damage identification methods, The Shock and Vibration Digest, 30, 91-105, 1998.
• 7. L.E. MUJICA DELGADO, A hybrid approach of knowledge-based reasoning for structural assessment, Ph.D. thesis, University of Girona, 2006.
• 8. P.C. HANSEN, Discrete inverse problems: insights and algorithms, SIAM, Philadelphia, 2010.