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Analytical model for response spectral ratio considering the effect of earthquake scenarios

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Abstract

The response spectral ratio (RSR) used to construct a design spectrum that incorporates site effects is conventionally assumed to be independent of an earthquake scenario in linear analysis. However, recent studies have found that the RSR varies significantly with an earthquake scenario, even in linear analysis. In this study, an analytical RSR model that incorporates the effect of an earthquake scenario is proposed. To this end, the mechanism behind the effect of earthquake scenarios, i.e., the variation in the RSR with an earthquake scenario, is systematically investigated by comparisons with the scenario-independent Fourier spectral ratio based on random vibration theory. The proposed RSR model is verified by comparing its results with those obtained from a SHAKE analysis considering a variety of actual soil conditions. Based on the proposed RSR model, the design spectrum incorporating site effects can be reasonably and easily constructed.

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All data generated or analyzed during this study are included in this published article.

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Available upon request.

References

  • Atkinson GM, Boore DM (1995) Ground motion relations for eastern north America. Bull Seism Soc Am 85:17–30

    Google Scholar 

  • Atkinson GM, Silva W (2000) Stochastic modeling of California ground motions. Bull Seism Soc Am 90:255–274

    Article  Google Scholar 

  • ASCE/SEI 7-10 (2011) Minimum design loads for buildings and other structures. Structural Engineering Institute, American Society of Civil Engineers

  • Boore DM (1983) Stochastic simulation of high-frequency ground motions based on seismological models of the radiated spectra. Bull Seism Soc Am 73:1865–1894

    Google Scholar 

  • Boore DM (2003) Simulation of ground motion using the stochastic method. Pure Appl Geophys 160:635–676

    Article  Google Scholar 

  • Boore DM (2005). SMSIM—Fortran programs for simulating ground motions from earthquakes: version 2.3, U.S. Geol. Surv. Open-File Rept. 2005 OFR 96-80-A, Menlo Park, California

  • Boore DM, Joyner WB (1997) Site amplifications for Generic Rock Sites. Bull Seism Soc Am 87:327–341

    Google Scholar 

  • Boore DM, Thompson EM (2012) Empirical improvements for estimating earthquake response spectra with random-vibration theory. Bull Seism Soc Am 102:761–772

    Article  Google Scholar 

  • Boore DM, Thompson EM (2015) Revisions to some parameters used in stochastic-method simulations of ground motion. Bull Seism Soc Am 105:1029–1041

    Article  Google Scholar 

  • Bora SS, Scherbaum F, Kuehn N, Stafford PJ (2016) On the relationship between Fourier and response spectra: implications for the adjustment of empirical ground-motion prediction equations (GMPEs). Bull Seis Soc Am 106:1235–1253

    Article  Google Scholar 

  • Borcherdt RD (1994) Estimates of site-dependent response spectra for design (methodology and justification). Earthq Spectra 10:617–653

    Article  Google Scholar 

  • Cartwright DE, Longuet-Hlggms MS (1956) The statistical distribution of the maxima of a random function. Proc R Soc Lond A 237:212–223

    Article  Google Scholar 

  • Chandra J, Gueguen P, Bonilla LF (2016) PGA-PGV/Vs considered as a stress–strain proxy for predicting nonlinear soil response. Soil Dyn Earthq Eng 85:146–160

    Article  Google Scholar 

  • Davenport AG (1964) Note on the distribution of the largest value of a random function with application to gust loading. Pro Inst Civ Eng 28:187–196

    Google Scholar 

  • Dobry R (1991) Soil properties and earthquake response, 1171–1187, IV, Proceeding of X European Conference of Soil Mechanics and Foundation Engineering; 26–30 May, 1991, Florence, Italy

  • Dobry R, Borcherdt RD, Crouse CB, Idriss IM, Joyner WB, Martin GR, Power MS, Rinne EE, Seed RB (2000) New site coefficients and site classification system used in recent building seismic code provisions. Earthq Spectra 16:41–67

    Article  Google Scholar 

  • European Committee for Standardization CEN (2004). Eurocode 8: design of structures for earthquake resistance—part 1: general rules, seismic actions and rules for buildings, European Standard EN 1998-1

  • Frankel A, Mueller C, Barnhard T, Perkins D, Leyendecker E, Dickman N, Hanson S, Hopper M (1996) national seismic hazard maps: documentation June 1996. U.S Geol Surv Open-File Rept 69:96–532

    Google Scholar 

  • Guéguen P, Bonilla LF, Douglas J (2019) Comparison of soil nonlinearity (In situ stress-strain relation and G/Gmax reduction) observed in strong-motion databases and modeled in ground-motion prediction equations. Bull Seism Soc Am 109(1):178–186

    Article  Google Scholar 

  • Idriss IM, Sun JI (1992) SHAKE91: A computer program for conducting equivalent linear seismic response analyses of horizontally layered soil deposits. University of California, Davis, User’s Guide

    Google Scholar 

  • Inoue W, Hayashi Y, Arai H, Nakai S, Iiba M (2010) A study on method to evaluate seismic amplification ratios of surface strata. AIJ J Technol Des 16:107–112 (in Japanese)

    Article  Google Scholar 

  • International Building Code (IBC) (2012). Country Club Hill, Illinois, USA: International Code Council

  • Japanese Seismic Design Code (2000). Technical Standard for Structural Calculation of Response and Limit Strength of Buildings. Notification No.1457–2000, Ministry of Land, Infrastructure and Transport (in Japanese)

  • Kozo Keikaku Engineering Inc. ARTEQ, program for generating artificial earthquake motions, Japan

  • Kottke AR, Rathje EM (2008) Technical manual for Strata. University of California, Berkeley

    Google Scholar 

  • Kottke AR, Rathje EM (2013) Comparison of time series and random-vibration theory site-response methods. Bull Seism Soc Am 103:2111–2127

    Article  Google Scholar 

  • Koyamada K, Miyamoto Y, Tokimatsu K, Miura K (2004) Practical evaluation for soil response and pile stress in a liquefiable site using response spectrum method. AIJ J Technol Des 19:47–52 (in Japanese)

    Google Scholar 

  • Liu L, Pezeshk S (1999) An improvement on the estimation of pseudoresponse spectral velocity using RVT method. Bull Seism Soc Am 89:1384–1389

    Google Scholar 

  • Lam NTK, Wilson JL, Chandler AM (2001) Seismic displacement response spectrum estimated from the analogy soil amplification model. Eng Struct 23:1437–1452

    Article  Google Scholar 

  • Park D, Hashash YMA (2004) Soil damping formulation in nonlinear time domain site response analysis. J Earthq Eng 08(02):249–274

    Google Scholar 

  • Rosenblueth E, Arciniega A (1992) Response spectral ratios. Earthq Eng Struct Dyn 21:483–492

    Article  Google Scholar 

  • Régnier J, Bonilla LF, Bertrand E, Semblat JF (2014) Influence of the VS profiles beyond 30 m depth on linear site effects: assessment from the KiK-net data. Bull Seism Soc Am 104(5):2337–2348

    Article  Google Scholar 

  • Stafford PJ, Rodriguez-Marek A, Edwards B, Kruiver P, Bommer JJ (2017) Scenario dependence of linear site effect factors for short-period response spectral ordinates. Bull Seism Soc Am 107:2859–2872

    Article  Google Scholar 

  • Strong-motion Seismograph Networks (K-NET, KIK-net). http://www.kyoshinbosai.go.jp/kyoshin/. Accessed 16 Sept 2020

  • Tsang HH, Adrian MC, Lam NTK (2006) Estimating non-linear site response by single period approximation. Earthq Eng Struct Dyn 35:1053–1076

    Article  Google Scholar 

  • Tsang HH, Wilson JL, Lam NTK, Su RKL (2017) A design spectrum model for flexible soil sites in regions of low-to-moderate seismicity. Soil Dyn Earthq Eng 92:36–45

    Article  Google Scholar 

  • Vanmarcke EH (1975) On the distribution of the first-passage time for normal stationary random processes. J Appl Mech 42:215–220

    Article  Google Scholar 

  • Wang X, Rathje EM (2016) Influence of peak factors on site amplification from random vibration theory based site-response analysis. Bull Seism Soc Am 106:1–14

    Article  Google Scholar 

  • Zhang HZ, Zhao YG (2018) A simple approach for estimating the first resonance peak of layered soil profiles. J Earthq Tsunami 12:185005

    Article  Google Scholar 

  • Zhang HZ, Zhao Y (2019) A simple approach for estimating the fundamental mode shape of layered soil profiles. J Earthq Tsunami 13:1950003

    Article  Google Scholar 

  • Zhang HZ, Zhao Y (2021) Investigation of relationship between the response and Fourier spectral ratios based on statistical analyses of strong motion records. J Earthq Tsunami 2150008

  • Zhao JX, Zhang J, Kojiro I (2009) Side effect of using response spectral amplification ratios for soil sites-variability and earthquake-magnitude and source-distance dependent amplification ratios for soil sites. Soil Dyn Earthq Eng 29:1262–1273

    Article  Google Scholar 

  • Zhao JX, Zhang J (2010) Side-effect of using response spectral amplification ratios for soft soil sites—earthquake source-type dependent amplification ratios. Soil Dyn Earthq Eng 30:258–269

    Article  Google Scholar 

Download references

Acknowledgements

This study was partially supported by the National Natural Science Foundation of China (Grant No. 51738001). The authors are grateful for the support.

Funding

The research leading to these results received funding from the National Natural Science Foundation of China (Grant No. 51738001).

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Contributions

HZ: conceptualization, methodology, writing-original draft preparation, investigation. Y-GZ: data curation, visualization, supervision, writing-reviewing and editing.

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Correspondence to Yan-Gang Zhao.

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Zhang, H., Zhao, YG. Analytical model for response spectral ratio considering the effect of earthquake scenarios. Bull Earthquake Eng 19, 5285–5305 (2021). https://doi.org/10.1007/s10518-021-01166-1

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