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An extended probabilistic demand model with optimal intensity measures for seismic performance characterization of isolated bridges under coupled horizontal and vertical motions

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Abstract

Intensity Measures (IMs) provide the relationship between Engineering Demand Parameters (EDPs) and seismic hazard characteristics for different structures and hence, their role in performance-based bridge design is significant. A few studies have investigated the optimal IMs for bridges under horizontal ground motions, however, detailed studies to explore the optimal IMs for isolated-bridges under the coupled vertical and horizontal records are very rare. This paper presents a procedure for the selection of optimal IMs for seismic-isolated bridges under the combined strong Horizontal Component (HC) and Vertical Component (VC) seismic excitations. Soil-Structure-Interaction (SSI) effects, the high level of uncertainties for soil properties, uncertainties for structural and geotechnical issues and advanced plasticity model for non-liquefied soil are included to explore the optimal vector-valued IMs. Four individual situations are considered to investigate the geometry effects on the selected optimal IMs. Optimal IMs criteria including efficiency, practicality, proficiency and sufficiency are investigated and developed to achieve a set of optimal vector-valued IMs for critical EDPs: drift ratio, pile-cap displacement and bearing displacement, which are affected by both HC and VC in isolated Soil-Pile-Bridge (SPB) systems. The results show that velocity-related IMs: peak ground velocity (PGVH), Housner spectrum intensity (HIH) and root mean square of velocity (VRMSH) are optimal IMs as representative of HCs. In addition, structure-dependent spectral IMs: vertical spectral acceleration at T = 0.2 s (\({\text{S}}_{\text{a}0.2}^{\text{V}}\)) and square-root-of-the-sum-of-square of vertical spectral acceleration at the first and second vertical periods (\({\text{S}}_{\text{a}}^{\text{V}}\left({\text{T}}_{\text{s}}\right)\)) are the appropriate optimal IMs as representative of VCs. However, the displacement-related IM, peak ground displacement of HCs (PGDH), may be treated as optimal IMs for SPB system supported by inclined pile foundations to investigate pile-cap displacement. In addition, the sufficiency term is investigated extensively with respect to seismological parameters.

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References

  • Abaqus 6.14 (2018). Dassault systèmes SIMULIA Corporation, Minneapolis.

  • Abrahamson N, Silva WJ (1997) Empirical response spectral attenuation relations for shallow crustal earthquakes. Seismol Res Lett 68(1):94–127

    Google Scholar 

  • Aki K, Richards PG (2002) Quantitative seismology: University Science Books.

  • Ambraseys Nu, Simpson K (1996) Prediction of vertical response spectra in Europe. Earthquake Eng Struct Dyn 25(4):401–412

    Google Scholar 

  • Ayyub BM, Lai K-L (1989) Structural reliability assessment using latin hypercube sampling. Paper presented at the Struct Safety Reliability.

  • Baker JW, Cornell CA (2005) A vector-valued ground motion intensity measure consisting of spectral acceleration and epsilon. Earthquake Eng Struct Dyn 34(10):1193–1217

    Google Scholar 

  • Barbato M, Gu Q, Conte JP (2010) Probabilistic push-over analysis of structural and soil-structure systems. J Struct Eng 136(11):1330–1341

    Google Scholar 

  • Boulanger RW, Curras CJ, Kutter BL, Wilson DW, Abghari A (1999) Seismic soil-pile-structure interaction experiments and analyses. J Geotech Geoenviron Eng 125(9):750–759

    Google Scholar 

  • Bozorgnia Y, Campbell KW (2004) The vertical-to-horizontal response spectral ratio and tentative procedures for developing simplified V/H and vertical design spectra. J Earthquake Eng 8(02):175–207

    Google Scholar 

  • Bradley BA, Cubrinovski M, Dhakal R, MacRae G (2009) Intensity measures for the seismic response of pile foundations. Soil Dyn Earthquake Eng 29(6):1046–1058

    Google Scholar 

  • Bradley BA (2012) Empirical correlations between cumulative absolute velocity and amplitude-based ground motion intensity measures. Earthq Spectra 28:37–54

    Google Scholar 

  • Celarec D, Dolšek M (2013) The impact of modelling uncertainties on the seismic performance assessment of reinforced concrete frame buildings. Eng Struct 52:340–354

    Google Scholar 

  • Collier C, Elnashai A (2001) A procedure for combining vertical and horizontal seismic action effects. J Earthquake Eng 5(04):521–539

    Google Scholar 

  • Cornell CA, Jalayer F, Hamburger RO, Foutch DA (2002) Probabilistic basis for 2000 SAC federal emergency management agency steel moment frame guidelines. J Struct Eng 128:526–533

    Google Scholar 

  • Dehghanpoor A, Thambiratnam D, Chan T, Taciroglu E, Kouretzis G, Li Z (2019a) Coupled horizontal and vertical component analysis of strong ground motions for soil–pile–superstructure systems: application to a bridge Pier with soil–structure interaction. J Earthquake Eng, 1–29.

  • Dehghanpoor A, Thambiratnam D, Taciroglu E (2019b) Significance of vertical ground motions on soil-pile-superstructure systems. In: Paper presented at the Earthquake Geotechnical Engineering for Protection and Development of Environment and Constructions: Proceedings of the 7th International Conference on Earthquake Geotechnical Engineering,(ICEGE 2019), June 17–20, 2019, Rome, Italy.

  • Dehghanpoor A, Thambiratnam D, Taciroglu E, Chan T (2019c) Soil-pile-superstructure interaction effects in seismically isolated bridges under combined vertical and horizontal strong ground motions. Soil Dyn Earthquake Eng 126:105753

    Google Scholar 

  • Ebrahimian H, Jalayer F, Lucchini A, Mollaioli F, Manfredi G (2015) Preliminary ranking of alternative scalar and vector intensity measures of ground shaking. Bull Earthquake Eng 13(10):2805–2840

    Google Scholar 

  • Elgamal A, He L (2004) Vertical earthquake ground motion records: an overview. J Earthquake Eng 8(05):663–697

    Google Scholar 

  • Elgamal A, Yan L, Yang Z, Conte JP (2008) Three-dimensional seismic response of Humboldt Bay bridge-foundation-ground system. J Structural Eng 134(7):1165–1176

    Google Scholar 

  • Elnashai A, Papazoglou A (1997) Procedure and spectra for analysis of RC structures subjected to strong vertical earthquake loads. J Earthquake Eng 1(01):121–155

    Google Scholar 

  • Gulerce Z, Erduran E, Kunnath SK, Abrahamson NA (2012) Seismic demand models for probabilistic risk analysis of near fault vertical ground motion effects on ordinary highway bridges. Earthquake Eng Struct Dyn 41(2):159–175

    Google Scholar 

  • Hariri-Ardebili M, Saouma V (2016) Probabilistic seismic demand model and optimal intensity measure for concrete dams. Struct Safety 59:67–85

    Google Scholar 

  • Jones AL, Kramer SL, Arduino P (2002) Estimation of uncertainty in geotechnical properties for performance-based earthquake engineering: Pacific Earthquake Engineering Research Center, College of Engineering.

  • Kaviani P, Zareian F, Taciroglu E (2012) Seismic behavior of reinforced concrete bridges with skew-angled seat-type abutments. Eng Struct 45:137–150

    Google Scholar 

  • Kaviani P, Zareian F, Taciroglu E (2014) Performance-based seismic assessment of skewed bridges: Pacific Earthquake Engineering Research Center.

  • Kim SJ, Holub CJ, Elnashai AS (2011) Experimental investigation of the behavior of RC bridge piers subjected to horizontal and vertical earthquake motion. Eng Struct 33(7):2221–2235

    Google Scholar 

  • Kohrangi M, Bazzurro P, Vamvatsikos D (2016) Vector and scalar IMs in structural response estimation, part II: building demand assessment. Earthq Spectra 32(3):1525–1543

    Google Scholar 

  • Kostinakis K, Fontara I-K, Athanatopoulou AM (2016) Scalar structure-specific ground motion intensity measures for assessing the seismic performance of structures: a review. J Earthquake Eng 22(4):630–665

    Google Scholar 

  • Lacasse S, Nadim F, (1996) Uncertainties in characterizing soilproperties. In: Shackleford CD, Nelson PP, Roth MJS (eds) Uncertainty in the geologic environment: from theory to practice. ASCE Geotechnical Special Publication, vol. 58, pp49–75.

  • Lee TH, Mosalam KM (2005) Seismic demand sensitivity of reinforced concrete shear-wall building using FOSM method. Earthquake Eng Struct Dyn 34(14):1719–1736

    Google Scholar 

  • Mackie K, Stojadinović B (2001) Probabilistic seismic demand model for California highway bridges. J Bridge Eng 6(6):468–481

    Google Scholar 

  • Matlab. The MathWorks, Inc., Matlab user's guide (2017).

  • Mirza SA, MacGregor JG, Hatzinikolas M (1979) Statistical descriptions of strength of concrete. J Struct Division 105(6):1021–1037

    Google Scholar 

  • Nielson BG (2005) Analytical fragility curves for highway bridges in moderate seismic zones. Georgia Institute of Technology.

  • Padgett JE, Nielson BG, DesRoches R (2008) Selection of optimal intensity measures in probabilistic seismic demand models of highway bridge portfolios. Earthquake Eng Struct Dyn 37(5):711–725

    Google Scholar 

  • Pang Y, Wu X, Shen G, Yuan W (2013) Seismic fragility analysis of cable-stayed bridges considering different sources of uncertainties. J Bridge Eng 19(4):04013015

    Google Scholar 

  • Phoon K-K, Kulhawy FH (1999) Characterization of geotechnical variability. Can Geotech J 36(4):612–624

    Google Scholar 

  • Sakellariadis L, Agalianos A, Anastasopoulos I (2018) Simplified method for real-time seismic damage assessment of motorway bridges: transverse direction—accounting for abutment stoppers. Earthquake Eng Struct Dyn 47(6):1496–1521

    Google Scholar 

  • Shome N (1999) Probabilistic seismic demand analysis of nonlinear structures: Stanford University.

  • Silva W (1997) Characteristics of Vertical Strong Ground Motions for Applications to Engineering Design. In: Friedland IM, Power MS, Mayes RL (eds) Proceedings of the FHWA/NCEER Workshop on the National Representation of Seismic Ground Motion for New and Existing Highway Facilities, Technical Report NCEER-97-0010.

  • Standard B (2005) Eurocode 8: Design of structures for earthquake resistance—Part 1:1998–1991

  • Stefanidou SP, Kappos AJ (2017) Methodology for the development of bridge-specific fragility curves. Earthquake Eng Struct Dyn 46(1):73–93

    Google Scholar 

  • Stefanidou SP, Sextos AG, Kotsoglou AN, Lesgidis N, Kappos AJ (2017) Soil-structure interaction effects in analysis of seismic fragility of bridges using an intensity-based ground motion selection procedure. Eng Struct 151:366–380

    Google Scholar 

  • Tothong P, Luco N (2007) Probabilistic seismic demand analysis using advanced ground motions intensity measures. Earthquake Eng Struct Dyn 36(13):1837–1860

    Google Scholar 

  • Vamvatsikos D, Cornell CA (2002) Incremental dynamic analysis. Earthquake Eng Struct Dyn 31(3):491–514

    Google Scholar 

  • Wang X, Shafieezadeh A, Ye A (2018) Optimal intensity measures for probabilistic seismic demand modeling of extended pile-shaft-supported bridges in liquefied and laterally spreading ground. Bull Earthquake Eng 16(1):229–257

    Google Scholar 

  • Wang X, Ye A, Shafieezadeh A, Padgett JE (2019) Fractional order optimal intensity measures for probabilistic seismic demand modeling of extended pile-shaft-supported bridges in liquefiable and laterally spreading ground. Soil Dyn Earthquake Eng 120:301–315

    Google Scholar 

  • Wang Z, Dueñas-Osorio L, Padgett JE (2013) Seismic response of a bridge–soil–foundation system under the combined effect of vertical and horizontal ground motions. Earthquake Eng Struct Dyn 42(4):545–564

    Google Scholar 

  • Wang Z, Padgett J, Dueñas-Osorio L (2013) Influence of vertical ground motions on the seismic fragility modeling of a bridge-soil-foundation system. Earthquake Spectra 29(3):937–962

    Google Scholar 

  • Wei B, Zuo C, He X, Jiang L, Wang T (2018) Effects of vertical ground motions on seismic vulnerabilities of a continuous track-bridge system of high-speed railway. Soil Dyn Earthquake Eng 115:281–290

    Google Scholar 

  • Xie Y, Zhang J, Huo Y (2018) Simplified drift demand prediction of bridges under liquefaction-induced lateral spreading. J Bridge Eng 23(8):04018053

    Google Scholar 

  • Xie Y, Zheng Q, Yang C-SW, Zhang W, DesRoches R, Padgett JE, Taciroglu E (2019) Probabilistic models of abutment backfills for regional seismic assessment of highway bridges in California. Eng Struct 180:452–467

    Google Scholar 

  • Zhang W, Esmaeilzadeh Seylabi E, Taciroglu E (2017) Validation of a three-dimensional constitutive model for nonlinear site response and soil-structure interaction analyses using centrifuge test data. Int J Numer Anal Methods Geomech 41(18):1828–1847

    Google Scholar 

Download references

Acknowledgements

The authors thank the Pacific Earthquake Engineering Research (PEER) Centre for providing the strong ground motion data. The first author is sponsored by the Queensland University of Technology (QUT), Australia, and would like to acknowledge their support for this research. The first author would like to thank HPC unit at Queensland University of Technology for their assistance. Last but not least, the authors would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the quality of the paper.

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Appendix

Appendix

Number

Description

IM

Mathematical definition

1

Peak ground acceleration

PGA

Max \(\left|\ddot{u}(t)\right|\)

2

Peak ground velocity

PGV

Max \(\left|\dot{u}(t)\right|\)

3

Peak ground displacement

PGD

Max \(\left|u(t)\right|\)

4

Cumulative absolute velocity

CAV

\({\int }_{0}^{{t}_{tot}}\left|\ddot{u}(t)\right|dt\)

5

Cumulative absolute displacement

CAD

\({\int }_{0}^{{t}_{tot}}\left|\dot{u}(t)\right| dt\)

6

Arias intensity

\({\mathrm{I}}_{\mathrm{A}}\)

\(\frac{\pi }{2g}{\int }_{0}^{{t}_{tot}}{[\ddot{u}(t)]}^{2}dt\)

7

Root-mean square of acceleration

\({\mathrm{A}}_{\mathrm{RMS}}\)

\(\sqrt{\frac{1}{{t}_{tot}}{\int }_{0}^{{t}_{tot}}{[\ddot{u}(t)]}^{2}dt}\)

8

Root-mean square of velocity

\({\mathrm{V}}_{\mathrm{RMS}}\)

\(\sqrt{\frac{1}{{t}_{tot}}{\int }_{0}^{{t}_{tot}}{[\dot{u}(t)]}^{2}dt}\)

9

Root-mean square of displacement

\({\mathrm{D}}_{\mathrm{RMS}}\)

\(\sqrt{\frac{1}{{t}_{tot}}{\int }_{0}^{{t}_{tot}}{[u(t)]}^{2}dt}\)

10

Specific energy density

\({\mathrm{S}}_{\mathrm{E}}\)

\({\int }_{0}^{{t}_{tot}}{[\dot{u}(t)]}^{2}dt\)

11

Velocity spectrum density

VSI

\({\int }_{0.1}^{2.5}{S}_{v}\left(T, \xi =5\%\right)dT\)

12

Acceleration spectrum density

ASI

\({\int }_{0.1}^{0.5}{S}_{a}\left(T, \xi =5\%\right)dT\)

13

Housner intensity

\({\mathrm{I}}_{\mathrm{H}}\)

\({\int }_{0.1}^{2.5}{PS}_{v}\left(T, \xi =5\%\right)dT\)

14

Sustained maximum velocity

SMV

3rd largest peak in velocity

15

Horizontal spectral acceleration at the period of the first horizontal mode

\({S}_{a}^{H}({T}_{H1})\)

\({S}_{a}^{H}({T}_{H1,} \xi =5\%)\)

16

Vertical spectral acceleration at the period of the first vertical mode

\({S}_{a}^{V}({T}_{V1})\)

\({S}_{a}^{V}({T}_{V1,} \xi =5\%)\)

17

Horizontal spectral acceleration at the period of the second horizontal mode

\({S}_{a}^{H}({T}_{H2})\)

\({S}_{a}^{H}({T}_{H2,} \xi =5\%)\)

18

Vertical spectral acceleration at the period of the second vertical mode

\({S}_{a}^{V}({T}_{V2})\)

\({S}_{a}^{V}({T}_{V2,} \xi =5\%)\)

19

Square-root-of-the-sum-of-square (SRSS) of horizontal spectral acceleration at the first and second horizontal periods

\({S}_{a}^{H}({T}_{S})\)

\(\sqrt{{{[S}_{a}^{H}({T}_{H1})]}^{2}+{{[S}_{a}^{H}({T}_{H2})]}^{2}}\)

20

Square-root-of-the-sum-of-square (SRSS) of vertical spectral acceleration at the first and second vertical periods

\({S}_{a}^{V}({T}_{S})\)

\(\sqrt{{{[S}_{a}^{V}({T}_{V1})]}^{2}+{{[S}_{a}^{V}({T}_{V2})]}^{2}}\)

21

Vertical spectral acceleration at the predominant period

\({S}_{a}^{V}({T}_{p})\)

\({S}_{a}^{V}({T}_{p,} \xi =5\%)\)

22

Horizontal spectral acceleration at the predominant period

\({S}_{a}^{H}({T}_{p})\)

\({S}_{a}^{H}({T}_{p1,} \xi =5\%)\)

23

Combined-horizontal spectral acceleration

\({S}_{a}^{H,1-5}\)

\(\sum_{\mathrm{i}=1}^{\text{N}}({S}_{a}^{H}{({\text{T}}_{\text{i}},\upxi ))}^{{{\alpha }}_{\text{i}}},\) \({{\alpha }}_{\text{i}}=\frac{{\text{m}}_{\hbox{i}}^{\text{eff}}}{{\sum }_{\text{j}=1}^{\hbox{N}}{\text{m}}_{\hbox{i}}^{\text{eff}}}\)

24

Combined-vertical spectral acceleration

\({S}_{a}^{V,1-5}\)

\(\sum_{\text{i}=1}^{\text{N}}({S}_{a}^{V}{({\text{T}}_{\text{i}},\upxi ))}^{{{\alpha }}_{\text{i}}},\) \({{\alpha }}_{\text{i}}=\frac{{\text{m}}_{\hbox{i}}^{\text{eff}}}{{\sum }_{\text{j}=1}^{\hbox{N}}{\text{m}}_{\hbox{i}}^{\text{eff}}}\)

25

Horizontal spectral acceleration at the T = 2.0 s

\({S}_{a2}^{H}\)

\({S}_{a}^{H}(T=2.0 s, \xi =5\%)\)

26

Vertical spectral acceleration at the T = 2.0 s

\({S}_{a0.2}^{V}\)

\({S}_{a}^{V}(T=0.2 s, \xi =5\%)\)

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Dehghanpoor, A., Thambiratnam, D., Zhang, W. et al. An extended probabilistic demand model with optimal intensity measures for seismic performance characterization of isolated bridges under coupled horizontal and vertical motions. Bull Earthquake Eng 19, 2291–2323 (2021). https://doi.org/10.1007/s10518-021-01044-w

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