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Rating damage potential of ground motion records

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Abstract

In this study, a total of 115,246 ground motions recorded during earthquakes of Moment magnitudes ranging from Mw 5.0 to Mw 9.0 are analyzed statistically. A total of 21 ground motion parameters characterising the recorded acceleration time histories are used in the analysis. Classification of these parameters through statistical correlation is reported and a parameter called “distance from zero-amplitude axis,” or dZ-A, is formulated in the principal component space. The ability for dZ-A to rate the damage potentials of strong motion records is evaluated through correlation of dZ-A with Japan Meteorological Agency (JMA) instrumental seismic intensities. This parameter can be used to rate damage potential of any strong motion record irrespective of the magnitude and location of the earthquake. It can also be used in selecting ground motion records of appropriate damage potential in seismic design and probabilistic analysis.

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References

  • Anderson JC and Bertero VV (1987), “Uncertainties in Establishing Design Earthquakes,” Journal of Structural Engineering, ASCE, 113: 1709–1724.

    Article  Google Scholar 

  • Arias A (1970), A Measure of Earthquake Intensity, Seismic Design for Nuclear Power Plants, Hansen RJ (Ed.), MIT Press, Cambridge, 438–483.

  • Boore DM (2004), “Estimating Vs(30) (or NEHRP Site Classes) from Shallow Velocity Models (Depths < 30 m),” Bulletin of the Seismological Society of America, 94: 591–597.

    Article  Google Scholar 

  • Boore DM and Bommer JJ (2005), “Processing of Strong Motion Accelerograms: Needs, Options and Consequences,” Soil Dynamics and Earthquake Engineering, 25: 93–115.

    Article  Google Scholar 

  • Bhargavi P and Raghukanth STG (2017), “Ground Motion Parameters for the 2011 Great Japan Tohoku Earthquake,” Journal of Earthquake Engineering, pp. 1363–2469. doi: 10.1080/13632469.2017.1342292.

    Google Scholar 

  • Campbell KW and Bozorgnia Y (2010), “Analysis of Cumulative Absolute Velocity (CAV) and JMA Instrumental Seismic Intensity Using the PEER-NGA Strong Motion Database,” PEER report, 2010/102.

    Google Scholar 

  • Changfeng Wang, Jikang Zhao, Long Zhu and Yijun Bao (2016), “Effects of Vertical Excitation on the Seismic Performance of a Seismically Isolated Bridge with Sliding Friction Bearings,” Earthquake Engineering and Engineering Vibration, 15(1): 187–196. https://doi.org/10.1007/s11803-016-0315-3.

    Article  Google Scholar 

  • Electrical Power Research Institute (EPRI) (1988), “A Criterion for determining Exceedance of the Operating Basis Earthquake,” EPRI NP-5930, Palo Alto, CA.

  • Goda K, Campbell G, Hulme L, Ismael B, Ke L, Marsh R, Sammonds P, So E, Okumura Y, Kishi N and Koyama M (2016), “The 2016 Kumamoto Earthquakes: Cascading Geological Hazards and Compounding Risks,” Frontiers in Built Environment, 2: 19.

    Google Scholar 

  • Hall JF, Heaton TH, Halling MW and Wald DJ (1995), “Near Source Ground Motion and Its Effects on Flexible Buildings,” Earthquake Spectra, 11: 569–60.

    Article  Google Scholar 

  • Housner GW (1952), “Spectrum Intensity of Strong Motion Earthquakes,” Proceedings of the Symposium on Earthquakes and Blast Effects on Structures, Earthquake Engineering Research Institute, California, 20–36.

    Google Scholar 

  • Housner GW and Jennings PC (1964), “Generation of Artificial Earthquakes,” Journal of the Engineering Mechanics Division, ASCE, 90: 113–150.

    Google Scholar 

  • Huang NE, Shen Z, Long SR, Wu CM, Shih HH, Zheng Q, Yen NC, Tung CC and Liu HH (1998), “The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Nonstationary Time Series Analysis,” Proceedings, Royal Society A, 454: 903–995.

    Article  Google Scholar 

  • Iyengar RN and Shinozuka M (1972), “Effect of Self- Weight and Vertical Acceleration on the Behaviour of Tall Structures during Earthquake,” Earthquake Engineering and Structural Dynamics, 1: 69–78.

    Article  Google Scholar 

  • Iyengar RN and Prodhan KC (1983), “Classification and Rating of Strong Motion Earthquake records,” Earthquake Engineering and Structural Dynamics, 11: 415–426.

    Article  Google Scholar 

  • Japan Meteorological Agency, http://www.jma.go.jp/jma/en/2011Earthquake.html

  • Jolliffe IT (2002), Principal Component Analysis, 2nd edition, Springer.

    Google Scholar 

  • Karim KR and Yamazaki F (2002), “Correlation of JMA Instrumental Seismic Intensity with Strong Motion Parameters,” Earthquake Engineering and Structural Dynamics, 31: 1191–1212.

    Article  Google Scholar 

  • Kojima K and Takewaki I (2016), “A Simple Evaluation Method of Seismic Resistance of Residential House under Two Consecutive Severe Ground Motions with Intensity 7,” Frontiers in Built Environment (Specialty section: Earthquake Engineering), 2(15).

    Google Scholar 

  • Kramer SL (1996), Geotechnical Earthquake Engineering, Prentice-Hall, New Jersey.

    Google Scholar 

  • Legrue J and Menun C (2004), “Simulation of Nonstationary Ground Motions Using Wavelets,” Proceedings of 13th World Conference on Earthquake Engineering, Canada, Paper 296.

    Google Scholar 

  • Midorikawa S and Fukuoka T (1988), “Correlation of Japan Meteorological Agency Intensity Scale with Physical Parameters of Earthquake ground motion,” Zishin, 41(2): 223–233 (in Japanese).

    Google Scholar 

  • Moustafa A (2011), “Damage Based Design Earthquake Loads for Single-Degree-of-Freedom Structures,” Journal of Structural Engineering, ASCE, 137(3): 456–467.

    Article  Google Scholar 

  • National Research Institute for Earth Science and Disaster Prevention (NIED) network, Japan, https://www.kyoshin.bosai.go.jp.

  • Park YJ, Ang AHS and Wen YK (1985), “Seismic Damage Analysis of Reinforced Concrete Buildings,” Journal of Structural Engineering, ASCE, 111(4): 740–757.

    Article  Google Scholar 

  • Raghukanth STG and Sangeetha S (2013), “Empirical Mode Decomposition of Earthquake Accelerograms,” Adv in Adaptive Data Analysis, 4(4): 1250022.

    Article  Google Scholar 

  • Saragoni GR and Hart G (1974), “Simulation of Artificial Earthquakes,” Earthquake Engineering and Structural Dynamics, 2(2): 249–267.

    Google Scholar 

  • Schenk V, Mantlik F, Zhizhin MN and Tumarkin AG (1990), “Relation Between Macroseismic Intensity and Instrumental Parameters of Strong Motions - A Statistical Approach,” Natural Hazards, 3: 111–124.

    Article  Google Scholar 

  • Shabestari KT and Yamazaki F (1998), “Attenuation Relationship of JMA Intensity Scale Using JMA Records,” Proceedings of the 10th Japan Earthquake Engineering Symposium, 1: 559–534.

    Google Scholar 

  • Shabestari KT and Yamazaki F (2001), “A Proposal of Instrumental Seismic Intensity Scale Compatible with MMI Evaluated from Three-Component Acceleration Records,” Earthquake Spectra, 17(4): 711–723.

    Article  Google Scholar 

  • Site Classification for Seismic Design, International Building Code, 2009, 340–343.

  • Taniguchi M and Takewaki I (2015), “Bound of Earthquake Input Energy to Building Structure Considering Shallow and Deep Ground Uncertainties,” Soil Dynamics and Earthquake Engineering, 77: 267–273.

    Article  Google Scholar 

  • Trifunac MD and Brady AG (1975), “A Study on the Duration of Strong Earthquake Ground Motion,” Bulletin of the Seismological Society of America, 65(3): 581–626.

    Google Scholar 

  • Vanmarcke EH (1976), “Structural Response to Earthquakes,” Seismic Risk and Engineering Decisions, ch 8, C Lomnitz and E Rosenblueth, Editors, Elsevier Publishing Co., Amsterdam, 287–337.

    Chapter  Google Scholar 

  • Von Thun JL, Rochim LH, Scott GA and Wilson JA (1988), “Earthquake Ground Motions for Design and Analysis of Dams,” Earthquake Engineering and Soil Dynamics II - Recent Advance in Ground Motion Evaluation, Geotechnical Special Publication 20, ASCE, New York, 463–481.

    Google Scholar 

  • Wu Z and Huang NE (2009), “Ensemble Empirical Mode Decomposition: A Noise-Assisted Data Analysis Method,” Adv. Adapt. Data Anal., 1(1): 1–41.

    Article  Google Scholar 

  • Yamamoto Y (2011), “Stochastic Model for Earthquake Ground Motion Using Wavelet Packets,” Ph.D. Thesis, Department of Civil and Environmental Engineering, Stanford University, Stanford, California.

    Google Scholar 

  • Zhang Fei, Gao Yufeng, Wu Yongxin, Zhang Ning and Qiu Yue (2016), “Effects of Vertical Seismic Acceleration on 3D Slope Stability,” Earthquake Engineering and Engineering Vibration, 15(3): 487–494. https://doi.org/10.1007/s11803-016-0338-9.

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. Structural Engineering Division, Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, India

    Podili Bhargavi & S. T. G. Raghukanth

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  1. Podili Bhargavi
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  2. S. T. G. Raghukanth
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Correspondence to S. T. G. Raghukanth.

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Bhargavi, P., Raghukanth, S.T.G. Rating damage potential of ground motion records. Earthq. Eng. Eng. Vib. 18, 233–254 (2019). https://doi.org/10.1007/s11803-019-0501-1

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