Effectiveness evaluation of the damage localization with a local spatial filtration under variable external conditions

One of the biggest issues in damage detection and structural health monitoring is the influence of the ambient conditions changes on the operation of the algorithms. Very often the impact is similar to the one generated by fault and it results in false alarm. A lot of effort was put into trying to make these influences independent. The presented article shows the autonomous method, which allows to distinguish the influence of ambient temperature from damage on local spatial filtration. The idea is tested on both numerical and experimental data.

CORRESPONDING AUTHOR:

Krzysztof Mendrok

Akademia Górniczo-Hutnicza im. St. Staszica w Krakowie, al. Mickiewicza 30, 30-059 Kraków, Polska

REFERENCES (16):

Peeters B, Maeck J, De Roeck G. Dynamic monitoring of the Z24-bridge: separating temperature effects from damage, In Proceedings of the European COST F3 Conference on System Identification and Structural Health Monitoring. Madrid, Spain. 2000:377-386.

Furtmuller T, Adam C. Compensation of temperature effects in long-term monitoring of a highway bridge located in the Austrian Alps. Procedia Engineering. 2017; 199: 2078-2083. https://doi.org/10.1016/j.proe....

CrossRef

Jeong-Tae Kim, Chung-Bang Yun, Jin-Hak Yi, Temperature effects on frequency-based damage detection in plate-girder bridges. KSCE Journal of Civil Engineering. 2003; 7: 725–733.

Yan A-M, Kerschen G, De Boe P, Golinval J-C. Structural damage diagnosis under varying environmental conditions – part I, II. Mechanical System and Signal Processing. 2005; 19: 847-880.

Nguyen VH, Mahowald J, Golinval JC, Maas S. Damage detection in civil engineering structure considering temperature effect. Dynamics of Civil Structures. 2014; 4: 187-196.

Basseville M, Bourquin F, Mevel L, Nasser H, Treyssède F. Handling the temperature effect in vibration monitoring: Two Subspace-Based Analytical Approaches. Journal of Engineering Mechanics. 2010; 136(3):367-378.

Zhou HF, Ni YQ, Ko J M. Eliminating temperature effect in vibration-based structural damage detection. Journal of engineering mechanics. 2012; 137(12): 785-796.

Dao PB, Staszewski WJ. Cointegration approach for temperature effect compensation in Lamb-wave-based damage detection. Smart Materials and Structures. 2013; 22(9): 095002-1–095002-20.

Ambroziński, Ł, Magda, P, Stepinski, T. A method for compensation of the temperature effect disturbing Lamb waves propagation. 40th Annual Review of Progress in Quantitative Nondestructive Evaluation. 2014: 1157–1164. https://doi.org/10.1063/1.4864....

CrossRef

10.

Dworakowski Z, Ambroziński Ł, Stepinski T. Multi-stage temperature compensation method for Lamb wave measurements. Journal of Sound and Vibration. 2016;382:328–339. https://doi.org/10.1016/j.jsv.....

CrossRef

11.

Salmanpour MS, Sharif Khodaei Z, Aliabadi MH. Guided wave temperature correction methods in structural health monitoring. Journal of Intelligent Material Systems and Structures. 2017; 28(5): 604-618. https://doi.org/10.1177/104538....

CrossRef

12.

Zhang Q, Allemang RJ, Brown DL. Modal filter: Concept and applications. Proceedings of 8th IMAC, Orlando, FL, USA. 1990: 487–496.

13.

Mendrok K, Uhl T. The application of modal filters for damage detection. Smart Structures and Systems. 2010; 6(2): 115-133.

14.

Mendrok K, Uhl T. Experimental verification of the damage localization procedure based on modal filtering. Structural Health Monitoring. 2011; 10(2): 157–171.

15.

Carrasco CJ, Osegueda RA, Ferregut CM, Grygier M. Damage localization in a space truss model using modal strain energy distribution. Proceedings of the15th International Modal Analysis Conference (IMAC), Orlando, Florida, 1997; Feb. 3-6: 1786-1792.

16.

Mendrok K. Simulation verification of damage detection algorithm. Diagnostyka. 2010; 3:17–23.

Submit your paper

Guide for Authors

eISSN:	2449-5220
ISSN:	1641-6414