Abstract
In Structural Health Monitoring understanding the effect of the environment on the modal properties of structures is essential. In this study, we evaluate the influence of changes in ambient conditions on the natural frequencies of three real large-scale structures: A 9-story reinforced concrete (RC) building and two sixteenth century churches of adobe masonry. For these structures, both environmental parameters (ambient temperature and relative humidity) and modal parameters were continuously monitored for a combined period of 8-years (RC building) and 2-years (for each of the adobe churches) in order to assess the effect of daily and seasonal variations of environmental parameters on the modal response. The results of the seasonal comparison indicate a negative correlation between ambient temperature and natural frequencies for the concrete structure, while for adobe structures a positive correlation between humidity and natural frequencies was observed. For daily variations, an out-of-phase and lag response of natural frequencies to variations in the environment was observed. A change on the daily lag was observed depending on the time of the year. Both seasonal and daily comparisons show the existence of a strong seasonality in frequency variations, where the form of response of this to environmental effects is different depending on the season. The magnitude of the daily variability is smaller in comparison to the seasonal variations. Finally, it was determined that the variation in natural frequencies depends on several factors such as the predominant material of the structure (namely reinforced concrete and adobe), the type of environmental exposure (temperature or humidity), and the characteristics of the structure (dimension of main elements).
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References
Aguilar R, Noel MF, Ramos LF (2019a) Integration of reverse engineering and non-linear numerical analysis for the Seismic assessment of historical adobe buildings. Autom Constr 98:1–15. https://doi.org/10.1016/j.autcon.2018.11.010
Aguilar R, Zonno G, Lozano G, Boroschek RL, Lourenço PB (2019b) Vibration-based damage detection in historical adobe structures: laboratory and field applications. Int J Archit Herit 13(7):1005–1028. https://doi.org/10.1080/15583058.2019.1632974
Bolton D (1980) The computation of equivalent potential temperature. Mon Weather Rev 108(7):1046–1053. https://doi.org/10.1175/1520-0493(1980)108%3C1046:TCOEPT%3E2.0.CO;2
Boroschek RL, Bilbao JA (2019) Interpretation of stabilization diagrams using density-based clustering algorithm. Eng Struct 178:245–257. https://doi.org/10.1016/j.engstruct.2018.09.091
Boroschek RL, Lazcano PA, Gonzalez L (2008) Experimental evaluation of modal parameter variations for structural health monitoring. In: 14th world conference on earthquake engineering
Boroschek RL, Aguilar R, Basoalto J, León P (2013) Structural health monitoring of a mid height building in Chile. In: 5th international operational modal analysis conference, IOMAC 2013
Boroschek RL, Tamayo F, Aguilar R (2014) Evaluation of the environmental effects on a medium rise building. In: 7th European workshop on structural health monitoring, EWSHM 2014–2nd European conference of the prognostics and health management (PHM) society, vol 2, pp 2091–2098.
Brigham EO, Morrow RE (1967) The fast fourier transform. IEEE Spectr. https://doi.org/10.1109/MSPEC.1967.5217220
Ceravolo R, Coletta G, Miraglia G, Palma F (2021) Statistical correlation between environmental time series and data from long-term monitoring of buildings. Mech Syst Signal Process 152:107460. https://doi.org/10.1016/j.ymssp.2020.107460
Deraemaeker A, Worden K (2018) A comparison of linear approaches to filter out environmental effects in structural health monitoring. Mech Syst Signal Process 105:1–15. https://doi.org/10.1016/j.ymssp.2017.11.045
Ferrada A, González WM, Boroschek RL, Droguett EL (2021) Characterization of the modal response using deep recurrent neural networks. Eng Struct (in review process)
Gentile C, Guidobaldi M, Saisi A (2016) One-year dynamic monitoring of a historic tower: damage detection under changing environment. Meccanica 51(11):2873–2889. https://doi.org/10.1007/s11012-016-0482-3
González WM, Boroschek RL, Bilbao JA (2021) Temperature measurement assisted modal tracking of an instrumented building. Eng Struct 233:111907. https://doi.org/10.1016/j.engstruct.2021.111907
Han Q, Ma Q, Xu J, Liu M (2021) Structural health monitoring research under varying temperature condition: a review. J Civ Struct Heal Monit 11(1):149–173. https://doi.org/10.1007/s13349-020-00444-x
Hattab O, Chaari M, Franchek MA, Wassar T (2019) An adaptive modeling approach to structural health monitoring of multistory buildings. J Sound Vib 440:239–255
Kita A, Cavalagli N, Ubertini F (2019) Temperature effects on static and dynamic behavior of consoli palace in Gubbio, Italy. Mech Syst Signal Process 120:180–202. https://doi.org/10.1016/j.ymssp.2018.10.021
Kullaa J (2009) Eliminating environmental or operational influences in structural health monitoring using the missing data analysis. J Intell Mater Syst Struct 20(11):1381–1390. https://doi.org/10.1177/1045389X08096050
Liu C, DeWolf JT (2006) Effect of temperature on modal variability for a curved concrete bridge. Smart structures and materials, sensors and smart structures technologies for civil. Mech Aerospace Syst 6174:61743B. https://doi.org/10.1117/12.655811
Liu H, Wang X, Jiao Y (2016) Effect of temperature variation on modal frequency of reinforced concrete slab and beam in cold regions. Shock Vib. https://doi.org/10.1155/2016/4792786
Maeck J, Peeters B, De RG (2001) Damage identification on the Z24 bridge using vibration monitoring. Smart Mater Struct 10(3):512–517. https://doi.org/10.1088/0964-1726/10/3/313
Moaveni B, Behmanesh I (2012) Effects of changing ambient temperature on finite element model updating of the dowling hall footbridge. Eng Struct 43:58–68. https://doi.org/10.1016/j.engstruct.2012.05.009
Peeters B, De Roeck G (2000) One year monitoring of the Z24-bridge: environmental influences versus damage events. In: Proceedings of the international modal analysis conference–IMAC 2(May), pp 1570–76. Doi:https://doi.org/10.1002/1096-9845(200102)30:2%3C149::AID-EQE1%3E3.0.CO;2-Z
Rainieri C, Fabbrocino G (2015) Development and validation of an automated operational modal analysis algorithm for vibration-based monitoring and tensile load estimation. Mech Syst Signal Process 60–61:512–534
Rainieri C, Magalhaes F, Gargaro D, Fabbrocino G, Cunha A (2019b) Predicting the variability of natural frequencies and its causes by second-order blind identification. Struct Health Monit 18(2):486–507. https://doi.org/10.1177/1475921718758629
Rainieri C, Gargaro D, Fabbrocino G (2019a) Hardware and software solutions for seismic SHM of Hospitals, pp 279–300. Doi:https://doi.org/10.1007/978-3-030-13976-6_12.
Ramos LF, Marques L, Lourenço PB, De Roeck G, Campos-Costa A, Roque J (2010) Monitoring historical masonry structures with operational modal analysis: two case studies. Mech Syst Signal Process 24(5):1291–1305. https://doi.org/10.1016/j.ymssp.2010.01.011
De Roeck G, Peeters B, Maeck J (2000) Dynamic monitoring of civil engineering structures. Computational methods for shell and spatial structures IASS-AICM.
Saisi A, Gentile C, Guidobaldi M (2015) Post-earthquake continuous dynamic monitoring of the Gabbia tower in Mantua, Italy. Construct Build Materials 81:101–112
Shan W, Wang X, Jiao Y (2018) Modeling of temperature effect on modal frequency of concrete beam based on field monitoring data. Shock Vib 2018:1–13. https://doi.org/10.1155/2018/8072843
Sohn H (2007) Effects of environmental and operational variability on structural health monitoring. Philos Trans R Soc A Math Phys Eng Sci 365(1851):539–560. https://doi.org/10.1098/rsta.2006.1935
Ubertini F, Comanducci G, Cavalagli N (2016) vibration-based structural health monitoring of a historic bell-tower using output-only measurements and multivariate statistical analysis. Struct Health Monit 15(4):438–457. https://doi.org/10.1177/1475921716643948
Ubertini F, Cavalagli N, Kita A, Comanducci G (2018) Assessment of a monumental masonry bell-tower after 2016 central Italy seismic sequence by long-term SHM. Bull Earthq Eng 16(2):775–801. https://doi.org/10.1007/s10518-017-0222-7
Wu JR, Li QS (2006) Structural parameter identification and damage detection for a steel structure using a two-stage finite element model updating method. J Construct Steel Res 62(3):231–239
Xia Y, Hao H, Zanardo G, Deeks A (2006) Long term vibration monitoring of an RC slab: temperature and humidity effect. Eng Struct 28(3):441–452. https://doi.org/10.1016/j.engstruct.2005.09.001
Xia Y, Chen B, Weng S, Ni YQ, Xu YL (2012) Temperature effect on vibration properties of civil structures: a literature review and case studies. J Civ Struct Heal Monit 2(1):29–46. https://doi.org/10.1007/s13349-011-0015-7
Yuen KV, Kuok SC (2010) Ambient interference in long-term monitoring of buildings. Eng Struct 32(8):2379–2386. https://doi.org/10.1016/j.engstruct.2010.04.012
Zonno G, Aguilar R, Boroschek RL, Lourenço PB (2018) Automated long-term dynamic monitoring using hierarchical clustering and adaptive modal tracking: validation and applications. J Civ Struct Heal Monit 8(5):791–808. https://doi.org/10.1007/s13349-018-0306-3
Zonno G, Aguilar R, Boroschek RL, Lourenço PB (2019a) Analysis of the long and short-term effects of temperature and humidity on the structural properties of adobe buildings using continuous monitoring. Eng Struct 196:109299. https://doi.org/10.1016/j.engstruct.2019.109299
Zonno G, Aguilar R, Boroschek RL, Lourenço PB (2019b) Experimental analysis of the thermohygrometric effects on the dynamic behavior of adobe systems. Constr Build Mater 208:158–174. https://doi.org/10.1016/j.conbuildmat.2019.02.140
Zonno G, Aguilar R, Boroschek RL, Lourenço PB (2019c) Environmental and ambient vibration monitoring of historical adobe buildings: applications in emblematic andean churches. Int J Archit Herit. https://doi.org/10.1080/15583058.2019.1653402
Acknowledgements
Special thanks to Giacomo Zonno, for kindly providing the environmental and modal data for the church of San Pedro Apóstol de Andahuaylillas, the church of San Juan Bautista of Huaro and the adobe walls built at the laboratory of the Pontificia Universidad Católica del Perú (PUCP). The authors gratefully acknowledge Wladimir González for providing the modal data for Central Tower and also for carrying out the additional processing of the modal records of the same structure, managing to extend the range of available data to September 2019. The authors gratefully acknowledge the funding form STIC-AmSUD 17-STIC-08.
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This research was founded by the Civil Engineering Department of the University of Chile and the Civil Engineering Department of the Pontificia Universidad Católica del Perú.
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Conceptualization and Methodology: RB; Validation: RB, RA, CV; Formal analysis: JR; Writing—original draft: JR; Writing—review & editing: RB, RA, CV.
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Ramírez, J.A., Boroschek, R.L., Aguilar, R. et al. Daily and seasonal effects of environmental temperature and humidity on the modal properties of structures. Bull Earthquake Eng 20, 4533–4559 (2022). https://doi.org/10.1007/s10518-022-01460-6
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DOI: https://doi.org/10.1007/s10518-022-01460-6