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NDE1.0: a new database of earthquake data recordings from buildings for engineering applications

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Abstract

Over the last two decades, seismic ground motion prediction has been significantly improved thanks to the development of shared, open, worldwide databases (waveform and parametric values). Unlike seismic ground motion, earthquake data recorded in buildings are rarely shared. However, their contribution could be essential for evaluating the performance of structures. Increasing interest in deploying instrumentation in buildings gives hope for new observations, leading to better understanding of behavior. This manuscript presents a flat-file containing information on earthquake responses of instrumented buildings. Herein, we present the structure of the NDE1.0 flat-file containing structural response parameters (i.e. drift ratio, peak top values of acceleration, velocity and displacement, pre- and co-seismic fundamental frequencies) computed for several intensity measures characterizing ground motion (i.e. peak ground values of acceleration, velocity and displacement, spectral values, Arias intensity, strong motion duration, cumulative absolute velocity, destructive potential). The data are from real earthquake recordings collected in buildings over the years. Some building, site and earthquake characteristics are also included (i.e. structural design, shear wave velocity, magnitude, epicentral distance, etc.). This 1.0 version contains 8520 strong motion recordings that correspond to 118 buildings and 2737 events, providing useful information for analyses related to seismic hazard, variability of building responses, structural health monitoring, nonlinear studies, damage prediction, etc.

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References

  • Akkar S, Bommer J (2007) Empirical prediction equations for peak ground velocity derived from strong-motion records from Europe and the Middle East. Bull Seismol Soc Am 97(2):511–530. https://doi.org/10.1785/0120060141

    Article  Google Scholar 

  • Al Atik L, Abrahamson N, Bommer JJ, Scherbaum F, Cotton F, Kuehn N (2010) The variability of ground-motion prediction models and its components. Seismol Res Lett 81(5):794–801

    Article  Google Scholar 

  • Ambraseys NN, Douglas J, Sarma SK, Smit PM (2005) Equations for the estimation of strong ground motions from shallow crustal earthquakes using data from Europe and the Middle East: horizontal peak ground acceleration and spectral acceleration. Bull Earthq Eng 3(1):1–53

    Article  Google Scholar 

  • Araya R, Saragoni GR (1980) Capacidad de los moviemientos sismicos de producir daño estructural. Report no. SES I 7/80, Division of Structural Engineering, University of Chile

  • Araya R, Saragoni GR (1984) Earthquake accelerogram destructiveness potential factor. In: 8th world conference on earthquake engineering, San Francisco, USA

  • Arias A (1970) A measure of earthquake intensity. In: Hansen RJ (ed) Seismic design for nuclear power plants. MIT Press, Cambridge, pp 438–469

    Google Scholar 

  • ASCE Standard, ASCE/SEI 7-05 (2006) Minimum design loads for buildings and other structures. American Society of Civil Engineers, ISBN: 0-7844-0831-9

  • Astorga A, Guéguen P, Kashima T (2018) Nonlinear elasticity observed in buildings during a long sequence of earthquakes. Bull Seismol Soc Am 108(3):1185–1198. https://doi.org/10.1785/0120170289

    Article  Google Scholar 

  • Astorga A, Guéguen P, Rivière J, Kashima T, Johnson PA (2019) Recovery of the resonance frequency of buildings following strong seismic deformation as a proxy for structural health. Struct Health Monit. https://doi.org/10.1177/1475921718820770

    Article  Google Scholar 

  • Auger F, Flandrin P (1995) Improving the readability of time-frequency and time-scale representations by the reassignment method. IEEE Trans Signal Process 43(5):1068–1089

    Article  Google Scholar 

  • Baker J, Cornell CA (2008) Uncertainty propagation in probabilistic seismic loss estimation. Struct Saf 30(3):236–252

    Article  Google Scholar 

  • Barbosa AR, Ribeiro FL, Neves LA (2017) Influence of earthquake ground motion duration on damage estimation: application to steel moment resisting frames. Earthq Eng Struct Dyn 46(1):27–49

    Article  Google Scholar 

  • Bommer J, Alarcon J (2008) The prediction and use of peak ground velocity. J Earthq Eng. https://doi.org/10.1080/13632460609350586

    Article  Google Scholar 

  • Bommer J, Martínez-Pereira A (1999) The effective duration of earthquake strong motion. J Earthq Eng 3(2):127–172. https://doi.org/10.1080/1363246990

    Article  Google Scholar 

  • Bommer J, Magenes G, Hancock J, Penazzo P (2004) The influence of strong-motion duration on the seismic response of masonry structures. Bull Earthq Eng 2(1):1–26

    Article  Google Scholar 

  • Boore DM (2005) On pads and filters: processing strong-motion data. Bull Seismol Soc Am 95(2):745–750

    Article  Google Scholar 

  • Buratti N (2012) A comparison of the performances of various ground-motion intensity measures. WCEE, Lisboa

    Google Scholar 

  • Building Research Institute, BRI Strong Motion Network. https://smo.kenken.go.jp/

  • California Strong Motion Instrumentation Program, CSMIP. https://www.conservation.ca.gov/cgs/smip

  • Center for Engineering Strong Motion Data, CESMD. https://strongmotioncenter.org/

  • Chandramohan R, Baker JW, Deierlein GG (2016) Quantifying the influence of ground motion duration on structural collapse capacity using spectrally equivalent records. Earthq Spectra 32(2):927–950

    Article  Google Scholar 

  • Clinton J, Bradford C, Heaton T, Favela J (2006) The observed wander of the natural frequencies in a structure. Bull Seismol Soc Am 96(1):237–257. https://doi.org/10.1785/0120050052

    Article  Google Scholar 

  • Daneshjoo F, Gerami M (2003) Higher mode effects on seismic behavior of MDOF steel moment resisting frames. J Seismol Earthq Eng 5(3):41–54

    Google Scholar 

  • Douglas J (2003) Earthquake ground motion estimation using strong-motion records: a review of equations for the estimation of peak ground acceleration and response spectral ordinates. Earth Sci Rev 61(2003):43–104

    Article  Google Scholar 

  • EPRI (1988) A criterion for determining exceedance of the operating basis earthquake. In: Electric Power Research Institute, Palo Alto, CA, prepared by Jack R. Benjamin and Associates Inc, report no: NP-5930

  • FEMA (1999) HAZUS earthquake loss estimation methodology. Federal Emergency Management Agency, Washington

    Google Scholar 

  • FEMA - Building Seismic Safety Council (2004) NEHRP recommended provisions for seismic regulations for new buildings and other structures (FEMA 450). National Institute of Building Sciences, Washington

    Google Scholar 

  • GMPE Compendium. Ground motion prediction equations 1964–2010. Final report. BRGM/RP-59356-FR. 444 pages, 9 illustrations. www.gmpe.org.uk. Last updated 28 August 2019

  • Guéguen P, Johnson P, Roux P (2016) Nonlinear dynamics induced in a structure by seismic and environmental loading. J Acoust Soc Am 140(1):582–590

    Article  Google Scholar 

  • Gupta A, Krawinkler H (1999) Seismic demands for performance evaluation of steel moment resisting frame structures. Blume Earthquake Engineering Center, Stanford University, Stanford, The John A

    Google Scholar 

  • Guyer RA, Johnson PA (1999) Nonlinear mesoscopic elasticity: evidence for a new class of materials. Phys Today 52:30–36

    Article  Google Scholar 

  • Housner GW (1959) Behavior of structures during earthquakes. J Eng Mech Div 85(4):109–130

    Google Scholar 

  • Iervolino I (2017) Assessing uncertainty in estimation of seismic response for PBEE. Earthq Eng Struct Dyn 46(10):1711–1723

    Article  Google Scholar 

  • Jennings PC, Kuroiwa JH (1968) Vibration and soil-structure interaction tests of a nine-story reinforced concrete building. Bull Seismol Soc Am 58(3):891–916

    Google Scholar 

  • Lesueur C, Cara M, Scotti O, Schlupp A, Sira C (2013) Linking ground motion measurements and macroseismic observations in France: a case study based on accelerometric and macroseismic databases. J Seismol 17(2):313–333. https://doi.org/10.1007/s10950-012-9319-2

    Article  Google Scholar 

  • Limongelli MP, Dolce M, Spona D, Guéguen P, Langlais M, Wolinieck D, Maufroy E, Karakostas CZ, Lekidis VA, Morfidis K, Salonikios T, Rovithis E, Makra K, Masciotta MG, Lourenço PB (2019) S2HM in some European countries. In: Limongelli M, Çelebi M (eds) Seismic structural health monitoring. Springer tracts in civil engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-13976-6_13

    Chapter  Google Scholar 

  • Luco N (2002) Probabilistic seismic demand analysis, SMRF connection fractures, and near-source effects. PhD thesis, Stanford University

  • Luco N, Cornell CA (2007) Structure-specific scalar intensity measures for near-source and ordinary earthquake ground motions. Earthq Spectra 23(2):357–392

    Article  Google Scholar 

  • Michel C, Guéguen P (2010) Time-frequency analysis of small frequency variations in civil engineering structures under weak and strong motions using a reassignment method. Struct Health Monit 9(2):159–171

    Article  Google Scholar 

  • Newmark NM, Hall WJ (1982) Earthquake spectra and design. Monographs series (EERI). Earthquake Engineering Research Institute, Oakland

    Google Scholar 

  • Papazafeiropoulos G (2015) Response spectra. Dynamic response spectrum analysis, elastic and elastoplastic response spectra. MathWorks file exchange

  • Péquegnat C, Guéguen P, Hatzfeld D, Langalis M (2008) The French accelerometric network (RAP) and national data center (RAP-NDC). Seismol Res Lett 79(1):79–89. https://doi.org/10.1785/gssrl.79.1.79

    Article  Google Scholar 

  • Perrault M, Guéguen P (2016) Correlation between ground motion and building response using California earthquake records. Earthq Spectra 31(4):2027–2046

    Article  Google Scholar 

  • Porter K (2003) An overview of PEER’s performance-based earthquake engineering methodology. In: Ninth international conference on applications of statistics and probability in civil engineering (ICASP9) July 6–9, 2003, San Francisco, USA

  • Porter K, Kennedy R, Bachman R (2007) Creating fragility functions for performance-based earthquake engineering. Earthq Spectra 23(2):471–489. https://doi.org/10.1193/1.2720892

    Article  Google Scholar 

  • Rivière J, Shokouhi P, Guyer RA, Johnson PA (2015) A set of measures for the systematic classification of the nonlinear elastic behavior of disparate rocks. J Geophys Res Solid Earth 120(3):1587–1604

    Article  Google Scholar 

  • Shome N, Cornell CA (1999) Probabilistic seismic demand analysis of nonlinear structures. Reliability of marine structures program report no. RMS-35, Department of Civil and Environmental Engineering, Stanford University, California

  • TenCate JA, Smith DE, Guyer R (2000) Universal slow dynamics in granular solids. Phys Rev Lett 85:1020–1023

    Article  Google Scholar 

  • Todorovska M, Trifunac M (2007) Earthquake damage detection in the imperial county services building I: the data and time-frequency analysis. Soil Dyn Earthq Eng 27(6):564–576

    Article  Google Scholar 

  • Trifunac MD, Brady AG (1975) A study on the duration of strong earthquake ground motion. Bull Seismol Soc Am 65(3):581–626

    Google Scholar 

  • Wald D, Quitoriano V, Heaton T, Kanamori H (1999) Relationships between peak ground acceleration, peak ground velocity, and modified Mercalli intensity in California. Earthq Spectra 15(3):557–564. https://doi.org/10.1193/1.1586058

    Article  Google Scholar 

  • Zhou Y, Xie LL (1984) A new definition of strong ground motion duration. Earthq Eng Eng Vib 4(2):27–35

    Google Scholar 

Download references

Acknowledgements

This work is part of the URBASIS program led by P.G at ISTerre/Université de Grenoble Alpes. The strong motion data were obtained from the BRI Strong Motion Observation (http://smo.kenken.go.jp/). A.A. would like to thank IFSTTAR for PhD funding. P.G. would like to thank LabEx OSUG@2020 (Investissements d’avenir-ANR10LABX56). Part of this work was supported by the Seismology and Earthquake Engineering Research Infrastructure Alliance for Europe (SERA), a project funded by the EU Horizon 2020 program under Grant Agreement Number 730900.

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Authors and Affiliations

  1. ISTerre, IFSTTAR, IRD, CNRS, Université Savoie Mont Blanc, Université Grenoble Alpes, Grenoble, France

    Ariana Astorga, Philippe Guéguen & Subash Ghimire

  2. International Institute of Seismology and Earthquake Engineering (IISEE), Building Research Institute (BRI), Tsukuba, Japan

    Toshihide Kashima

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  1. Ariana Astorga
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  2. Philippe Guéguen
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  4. Toshihide Kashima
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Correspondence to Ariana Astorga.

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Astorga, A., Guéguen, P., Ghimire, S. et al. NDE1.0: a new database of earthquake data recordings from buildings for engineering applications. Bull Earthquake Eng 18, 1321–1344 (2020). https://doi.org/10.1007/s10518-019-00746-6

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