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A study on the concurrent influence of liquid content and damage on the dynamic properties of a tank for the development of a modal-based SHM system

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Abstract

Remote detection of structural aging, degradation phenomena and damage due to hazardous events is critical to ensure safety and reliability of civil or industrial structures. This is the motivation of the rapid development and increasing application of fully automated structural health monitoring (SHM) systems in civil engineering. Modal-based damage detection currently represents a popular approach for SHM of civil structures. In fact, it is a global method for damage detection and, as such, the measurement locations are not required to be close to the damage. However, damage sensitive features defined in terms of modal parameter estimates are also influenced by environmental and operational factors. Thus, neglecting this influence might jeopardize the reliability of the technology. In this framework, the present paper investigates the potential of modal-based SHM to detect earthquake damage at anchors of an atmospheric liquid storage tank. To this aim, the influences of bolt loosening at supports and of liquid level on modal parameters are investigated. The ultimate goal of the present study is the definition of criteria for the effective design and application of modal-based SHM to liquid storage tanks.

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References

  1. Salzano E, Agreda AG, Di Carluccio A, Fabbrocino G (2009) Risk assessment and early warning systems for industrial facilities in seismic zones. Reliab Eng Syst Saf 94(10):1577–1584

    Article  Google Scholar 

  2. Housner GW (1963) The dynamic behavior of water tanks. Bull Seismol Soc Am 53(2):381–387

    Google Scholar 

  3. Haroun MA, Housner GW (1981) Seismic design of liquid storage tanks. J Tech Counc ASCE 107:191–207

    Google Scholar 

  4. Haroun MA, Housner GW (1982) Dynamic characteristic of liquid storage tanks. ASCE J Eng Mech Div 108:783–800

    Google Scholar 

  5. Di Carluccio A, Fabbrocino G (2012) Some remarks on the seismic demand estimation in the context of vulnerability assessment of large steel storage tank facilities. ISRN Civ Eng. https://doi.org/10.5402/2012/271414(Article ID 271414)

    Article  Google Scholar 

  6. Veletsos AS (1984) Seismic response and design of liquid storage tanks. Guidelines for the seismic design of oil and gas pipeline systems, Technical Council on Lifeline Earthquake Engineering. ASCE, New York, pp 255–370

    Google Scholar 

  7. European Committee for Standardization (2006) Eurocode 8: design of structures for earthquake resistance. Part 4: Silos, tanks and pipelines. European Standard EN1998-4

  8. Glisic B, Inaudi D (2004) Health monitoring of a full composite CNG tanks using long-gauge fiber optic sensors. In: Proceedings of the 11th SPIE’s Annual International Symposium on Smart Structures and Materials, 5384–5387, San Diego, USA

  9. Park SW, Kang DH, Bang HJ, Park SO, Kim CG (2006) Strain monitoring and damage detection of a filament wound composite pressure tank using embedded fiber Bragg grating sensors. Key Eng Mater 321–323:182–185

    Article  Google Scholar 

  10. Almahmoud S, Shiryayev O, Vahdati N, Rostron P (2018) Detection of internal metal loss in steel pipes and storage tanks via magnetic-based fiber optic sensor. Sensors 18(3):815

    Article  Google Scholar 

  11. Shaheen YBI, Eltaly BA, Abd-Alla MK (2013) Damage detection of ferrocement tanks using experimental modal analysis and finite element analysis. Concr Res Lett 4(2):598–608

    Google Scholar 

  12. Curadelli O, Ambrosini D (2011) Damage detection in elevated spherical containers partially filled with liquid. Eng Struct 33:2708–2715

    Article  Google Scholar 

  13. Zhou W, Wu Z, Mevel L (2010) Vibration-based damage detection to the composite tank filled with fluid. Struct Health Monit 9(5):433–445

    Article  Google Scholar 

  14. Aslam M (1981) Finite element analysis of earthquake-induced sloshing in axisymmetric tanks. Int J Numer Methods Eng 17(2):159–170

    Article  Google Scholar 

  15. Taghavi S, Miranda E (2003) Response assessment of nonstructural building elements. PEER report 2003/05. University of California Berkeley, Berkeley

    Google Scholar 

  16. World Health Organization, Regional Office for Europe (2006) Health facility seismic vulnerability evaluation—a handbook. WHO, Copenhagen

    Google Scholar 

  17. Myrtle RC, Masri SF, Nigbor RL, Caffrey JP (2005) Classification and prioritization of essential systems in hospitals under extreme events. Earthq Spectra 21(3):779–802

    Article  Google Scholar 

  18. GeoHazards International (2009) Reducing earthquake risk in hospitals from equipment, contents, architectural elements and building utility systems. GeoHazards International, Menlo Park

    Google Scholar 

  19. Federal Emergency Management Agency (1997) FEMA 274, NEHRP commentary on the guidelines for the seismic rehabilitation of buildings. FEMA, Washington

    Google Scholar 

  20. American Society of Civil Engineers (2017) ASCE/SEI 4-16 seismic analysis of safety-related nuclear structures. American Society of Civil Engineers, Reston

    Book  Google Scholar 

  21. Farrar CR, Worden K (2012) Structural health monitoring: a machine learning perspective. Wiley, Chichester, p 631

    Book  Google Scholar 

  22. Peeters B, De Roeck G (2001) One-year monitoring of the Z24-Bridge: environmental effects versus damage events. Earthq Eng Struct Dyn 30:149–171

    Article  Google Scholar 

  23. Rainieri C, Magalhaes F, Gargaro D, Fabbrocino G, Cunha A (2019) Predicting the variability of natural frequencies and its causes by second-order blind identification. Struct Health Monit 18(2):486–507

    Article  Google Scholar 

  24. Reynders E, Wursten G, De Roeck G (2014) Output-only structural health monitoring in changing environmental conditions by means of nonlinear system identification. Struct Health Monit 13(1):82–93

    Article  Google Scholar 

  25. Amini R, Warner G, Nayeb-Hashemi H (2005) Natural frequency analysis of liquid filled tanks. In: Proceedings of ASME 2005 international design engineering technical conferences and computers and information in engineering conference, Long Beach, CA, USA

  26. Amiri M, Sabbagh-Yazdi SR (2011) Ambient vibration test and finite element modeling of tall liquid storage tanks. Thin-Walled Struct 49:974–983

    Article  Google Scholar 

  27. Jaiswal OR, Kulkarni S, Pathak P (2008) A study on sloshing frequencies of fluid-tank system. In: Proceedings of the 14th World conference on earthquake engineering, Beijing, China

  28. Brincker R, Zhang L, Andersen P (2001) Modal identification of output-only systems using frequency domain decomposition. Smart Mater Struct 10:441–445

    Article  Google Scholar 

  29. Peeters B, De Roeck G (1999) Reference-based stochastic subspace identification for output-only modal analysis. Mech Syst Signal Process 13(6):855–878

    Article  Google Scholar 

  30. Van Overschee P, De Moor B (1996) Subspace identification for linear systems: theory—implementation—applications. Kluwer Academic Publishers, Dordrecht

    Book  Google Scholar 

  31. Reynders E, Schevenels M, De Roeck G (2014) MACEC 3.3 A Matlab toolbox for experimental and operational modal analysis—User’s manual. Report BWM-2014-06, Faculty of Engineering, Department of Civil Engineering, Structural Mechanics Section, Katholieke Universiteit Leuven, Leuven, Belgium

  32. Rainieri C, Fabbrocino G (2014) Operational modal analysis of civil engineering structures: An introduction and guide for applications. Springer, New York

    Book  Google Scholar 

  33. Haroun MA (1983) Vibration studies and tests of liquid storage tanks. Earthq Eng Struct Dyn 11(2):179–206

    Article  Google Scholar 

  34. Reynders E, Pintelon R, De Roeck G (2008) Uncertainty bounds on modal parameters obtained from stochastic subspace identification. Mech Syst Signal Process 22:948–969

    Article  Google Scholar 

  35. Reynders E, Maes K, Lombaert G, De Roeck G (2016) Uncertainty quantification in operational modal analysis with stochastic subspace identification: validation and applications. Mech Syst Signal Process 66–67:13–30

    Article  Google Scholar 

  36. Allemang RJ, Brown DL (1982) A correlation coefficient for modal vector analysis. In: Proceedings of The 1st international modal analysis conference, Orlando, FL, USA, pp 110–116

Download references

Acknowledgements

The present work has been partially carried out in the framework of a broader research project issued by ASREM—Molise Region Health Authority, on safety and structural health monitoring of the regional health facilities. The financial supports to the research activities from ASREM, the DIBT-IMPACT (Integrated Monitoring of Pressurized and AtmospheriC Tanks) research program at the University of Molise, and the ReLuis-DPC Executive Project 2019–2021—WP6 are gratefully acknowledged. Edwin Reynders gratefully acknowledges the financial support of the Research Foundation Flanders (FWO), Belgium, through the research project G099014N.

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Authors and Affiliations

  1. Structural and Geotechnical Dynamics Laboratory StreGa, DiBT Department, University of Molise, Viale Manzoni snc, 86100, Campobasso, Italy

    C. Rainieri & G. Fabbrocino

  2. S2X s.r.l, Piazzale Scarano 6, 86100, Campobasso, Italy

    D. Gargaro

  3. Deparment of Civil Engineering, Structural Mechanics Section, University of Leuven (KU Leuven), Kasteelpark Arenberg 40, 3001, Leuven, Belgium

    E. Reynders

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  1. C. Rainieri
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  2. D. Gargaro
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  4. G. Fabbrocino
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Correspondence to C. Rainieri.

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Rainieri, C., Gargaro, D., Reynders, E. et al. A study on the concurrent influence of liquid content and damage on the dynamic properties of a tank for the development of a modal-based SHM system. J Civil Struct Health Monit 10, 57–68 (2020). https://doi.org/10.1007/s13349-019-00369-0

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  • DOI: https://doi.org/10.1007/s13349-019-00369-0

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