Exploring the Use of Orientation-Independent Inelastic Spectral Displacements in the Seismic Assessment of Bridges

References

• Abarca, A., R. Monteiro, G. O’Reilly, E. Zuccolo, and B. Borzi. 2023. “Evaluation of Intensity Measure Performance in Regional Seismic Risk Assessment of Reinforced Concrete Bridge Inventories.” Structure and Infrastructure Engineering 19 (6): 760–778. https://doi.org/10.1080/15732479.2021.1979599.
   Web of Science ®Google Scholar
• Abarca, A., R. Monteiro, and G. J. O’Reilly. 2022. “Simplified Methodology for Indirect Loss–Based Prioritization in Roadway Bridge Network Risk Assessment.” International Journal of Disaster Risk Reduction 74 (December 2021): 102948. https://doi.org/10.1016/j.ijdrr.2022.102948.
   Google Scholar
• Ancheta, T., R. Darragh, J. Stewart, E. Seyhan, W. Silva, B. Chiou, K. Wooddell, et al. 2013. PEER NGA-West2 Database, Technical Report PEER 2013/03.
   Google Scholar
• Aristeidou, S., K. Tarbali, and G. J. O’Reilly. 2023. “A Ground Motion Model for Orientation-Independent Inelastic Spectral Displacements from Shallow Crustal Earthquakes.” Earthquake Spectra 39 (3): 1–23. https://doi.org/10.1177/87552930231180228.
   Web of Science ®Google Scholar
• Avşar, Ö., and G. Özdemir. 2013. “Response of Seismic-Isolated Bridges in Relation to Intensity Measures of Ordinary and Pulse like Ground Motions.” Journal of Bridge Engineering 18 (3): 250–260. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000340.
   Web of Science ®Google Scholar
• Bahrampouri, M., Y. Bozorgnia, S. Mazzoni, and K. Campbell. 2023. Use of inelastic response spectra in seismic hazard analysis and design. Los Angeles: University of California. https://doi.org/10.34948/N38G6K.
   Google Scholar
• Boore, D. M. 2010. “Orientation-Independent, Nongeometric-Mean Measures of Seismic Intensity from Two Horizontal Components of Motion.” Bulletin of the Seismological Society of America 100 (4): 1830–1835. https://doi.org/10.1785/0120090400.
   Web of Science ®Google Scholar
• Boore, D. M., J. Watson-Lamprey, and N. A. Abrahamson. 2006. “Orientation-Independent Measures of Ground Motion.” Bulletin of the Seismological Society of America 96 (4 A): 1502–1511. https://doi.org/10.1785/0120050209.
   Web of Science ®Google Scholar
• Borzi, B., P. Ceresa, P. Franchin, F. Noto, G. M. Calvi, and P. E. Pinto. 2015. “Seismic Vulnerability of the Italian Roadway Bridge Stock.” Earthquake Spectra 31 (4): 2137–2161. https://doi.org/10.1193/070413EQS190M.
   Web of Science ®Google Scholar
• Bozorgnia, Y., N. A. Abrahamson, L. Al Atik, T. D. Ancheta, G. M. Atkinson, J. W. Baker, A. Baltay, et al. 2014. “NGA-West2 Research Project.” Earthquake Spectra 30 (3): 973–987. https://doi.org/10.1193/072113EQS209M.
   Web of Science ®Google Scholar
• Bradley, B. A. 2010. “A Generalized Conditional Intensity Measure Approach and Holistic Ground-Motion Selection.” Earthquake Engineering & Structural Dynamics 39 (12): 1321–1342. https://doi.org/10.1002/eqe.995.
   Web of Science ®Google Scholar
• Bradley, B. A. 2012. “The Seismic Demand Hazard and Importance of the Conditioning Intensity Measure.” Earthquake Engineering & Structural Dynamics 41 (11): 1417–1437. https://doi.org/10.1002/eqe.2221.
   Web of Science ®Google Scholar
• Bradley, B. A., R. P. Dhakal, G. A. MacRae, and M. Cubrinovski. 2009. “Prediction of Spatially Distributed Seismic Demands in Specific Structures: Ground Motion and Structural Response.” Earthquake Engineering & Structural Dynamics 39 (5): 501–520. https://doi.org/10.1002/eqe.954.
   Web of Science ®Google Scholar
• Caltrans. 2010. Caltrans Seismic Design Criteria Version 1.6. California Department of Transportation. Sacramento, CA: State of California. https://dot.ca.gov/programs/engineering-services/manuals/seismic-design-criteria
   Google Scholar
• Caltrans. 2019. Caltrans Seismic Design Criteria Version 2.0. California Department of Transportation. Sacramento, CA: State of California. https://dot.ca.gov/programs/engineering-services/manuals/seismic-design-criteria
   Google Scholar
• Campbell, K. W., and Y. Bozorgnia. 2008. “NGA Ground Motion Model for the Geometric Mean Horizontal Component of PGA, PGV, PGD and 5% Damped Linear Elastic Response Spectra for Periods Ranging from 0.01 to 10 S.” Earthquake Spectra 24 (1): 139–171. https://doi.org/10.1193/1.2857546.
   Web of Science ®Google Scholar
• Chandramohan, R., J. W. Baker, and G. G. Deierlein. 2016. “Quantifying the Influence of Ground Motion Duration on Structural Collapse Capacity Using Spectrally Equivalent Records.” Earthquake Spectra 32 (2): 927–950. https://doi.org/10.1193/122813EQS298MR2.
   Web of Science ®Google Scholar
• Cordova, P. P., G. G. Deierlein, S. S. F. Mehanny, and C. A. Cornell. 2000. “Development of a Two-Parameter Seismic Intensity Measure and Probabilistic Assessment Procedure.” In Second US-Japan Working Performance-Based Earthquake Engineering Methodology Reinforced Concrete Building Structure, edited by T. Kabeyasawa, and J. P. Moehle, 187–206. Hokkaido: Journal of Engineering and Applied Science.
   Google Scholar
• Cornell, C. A., and H. Krawinkler. 2000. “Progress and Challenges in Seismic Performance Assessment.” PEER Center News 3 (2): 1–2.
   Google Scholar
• Dávalos, H., P. Heresi, and E. Miranda. 2020. “A Ground Motion Prediction Equation for Filtered Incremental Velocity, FIV3.” Soil Dynamics and Earthquake Engineering 139:106346. https://doi.org/10.1016/j.soildyn.2020.106346.
   Web of Science ®Google Scholar
• Dávalos, H., and E. Miranda. 2019. “Filtered Incremental Velocity: A Novel Approach in Intensity Measures for Seismic Collapse Estimation.” Earthquake Engineering & Structural Dynamics 48 (12): 1384–1405. https://doi.org/10.1002/eqe.3205.
   Web of Science ®Google Scholar
• Dávalos, H., and E. Miranda. 2021. “A Ground Motion Prediction Model for Average Spectral Acceleration.” Journal of Earthquake Engineering 25 (2): 319–342. https://doi.org/10.1080/13632469.2018.1518278.
   Web of Science ®Google Scholar
• Duncan, J. M., and R. L. Mokwa. 2001. “Passive Earth Pressures: Theories and Tests.” Journal of Geotechnical and Geoenvironmental Engineering 127 (3): 248–257. https://doi.org/10.1061/(asce)1090-0241(2001)127:3(248).
   Web of Science ®Google Scholar
• Eads, L., and E. Miranda. 2013. Seismic collapse risk assessment of buildings: effects of intensity measure selection and computational approach. Report No. 184. Stanford, California: Stanford University.
   Google Scholar
• Enke, D. L., C. Tirasirichai, and R. Luna. 2008. “Estimation of Earthquake Loss Due to Bridge Damage in the St. Louis Metropolitan Area. II: Indirect Losses.” Natural Hazards Review 9 (1): 12–19. https://doi.org/10.1061/(ASCE)1527-6988(2008)9:1(12).
   Google Scholar
• Fayaz, J., M. Dabaghi, and F. Zareian. 2020a. “Utilization of Site-Based Simulated Ground Motions for Hazard-Targeted Seismic Demand Estimation: Application for Ordinary Bridges in Southern California.” Journal of Bridge Engineering 25 (11). https://doi.org/10.1061/(asce)be.1943-5592.0001634.
   Web of Science ®Google Scholar
• Fayaz, J., M. Medalla, and F. Zareian. 2020b. “Sensitivity of the Response of Box-Girder Seat-Type Bridges to the Duration of Ground Motions Arising from Crustal and Subduction Earthquakes.” Engineering Structures 219:110845. https://doi.org/10.1016/j.engstruct.2020.110845.
   Web of Science ®Google Scholar
• Feng, R., X. Wang, W. Yuan, and J. Yu. 2018. “Impact of Seismic Excitation Direction on the Fragility Analysis of Horizontally Curved Concrete Bridges.” Bulletin of Earthquake Engineering 16 (10): 4705–4733. https://doi.org/10.1007/s10518-018-0400-2.
   Web of Science ®Google Scholar
• Feng, R., W. Yuan, and A. Sextos. 2021. “Probabilistic Loss Assessment of Curved Bridges Considering the Effect of Ground Motion Directionality.” Earthquake Engineering & Structural Dynamics 50 (13): 3623–3645. https://doi.org/10.1002/eqe.3525.
   Web of Science ®Google Scholar
• Gardoni, P., A. Der Kiureghian, and K. M. Mosalam. 2002. “Probabilistic Capacity Models and Fragility Estimates for Reinforced Concrete Columns Based on Experimental Observations.” Journal of Engineering Mechanics 128 (10): 1024–1038. https://doi.org/10.1061/(ASCE)0733-9399(2002)128:10(1024).
   Web of Science ®Google Scholar
• Giannopoulos, D., and D. Vamvatsikos. 2018. “Ground Motion Records for Seismic Performance Assessment: To Rotate or Not to Rotate?” Earthquake Engineering & Structural Dynamics 47 (12): 2410–2425. https://doi.org/10.1002/eqe.3090.
   Web of Science ®Google Scholar
• Haselton, C. B., and J. W. Baker. 2006. “Ground Motion Intensity Measures for Collapse Capacity Prediction: Choice of Optimal Spectral Period and Effect of Spectral Shape.” 8th US National Conference on Earthquake Engineering 15:8830–8839. https://api.semanticscholar.org/CorpusID:124847110.
   Google Scholar
• HAZUS. 2003. Multi-Hazard Loss Estimation Methodology - Earthquake Model. Washington, DC, USA: FEMA-National Institute of Building Sciences.
   Google Scholar
• Heresi, P., H. Dávalos, and E. Miranda. 2018. “Ground Motion Prediction Model for the Peak Inelastic Displacement of Single-Degree-Of-Freedom Bilinear Systems.” Earthquake Spectra 34 (3): 1177–1199. https://doi.org/10.1193/061517EQS118M.
   Web of Science ®Google Scholar
• Huang, Q., P. Gardoni, and S. Hurlebaus. 2010. “Probabilistic Seismic Demand Models and Fragility Estimates for Reinforced Concrete Highway Bridges with One Single-Column Bent.” Journal of Engineering Mechanics 136 (11): 1340–1353. https://doi.org/10.1061/(ASCE)EM.1943-7889.0000186.
   Web of Science ®Google Scholar
• Kalkan, E., and S. K. Kunnath. 2006. “Effects of Fling Step and Forward Directivity on Seismic Response of Buildings.” Earthquake Spectra 22 (2): 367–390. https://doi.org/10.1193/1.2192560.
   Web of Science ®Google Scholar
• Kaviani, P., F. Zareian, and E. Taciroglu. January 2014. “Performance-Based Seismic Assessment of Skewed Bridges.” Pacific Earthquake Engineering Research Center 161. https://doi.org/10.13140/2.1.1586.0007.
   Google Scholar
• Kazantzi, A. K., and D. Vamvatsikos. 2015. “Intensity Measure Selection for Vulnerability Studies of Building Classes.” Earthquake Engineering & Structural Dynamics 44 (15): 2677–2694. https://doi.org/10.1002/eqe.2603.
   Web of Science ®Google Scholar
• Kilanitis, I., and A. Sextos. 2019. “Impact of Earthquake-Induced Bridge Damage and Time Evolving Traffic Demand on the Road Network Resilience.” Journal of Traffic and Transportation Engineering (English Edition) 6 (1): 35–48. https://doi.org/10.1016/j.jtte.2018.07.002.
   Google Scholar
• Kohrangi, M., P. Bazzurro, D. Vamvatsikos, and A. Spillatura. 2017. “Conditional Spectrum-Based Ground Motion Record Selection Using Average Spectral Acceleration.” Earthquake Engineering & Structural Dynamics 46 (10): 1667–1685. https://doi.org/10.1002/eqe.2876.
   Web of Science ®Google Scholar
• Kohrangi, M., S. R. Kotha, and P. Bazzurro. 2018. “Ground-Motion Models for Average Spectral Acceleration in a Period Range: Direct and Indirect Methods.” Bulletin of Earthquake Engineering 16 (1): 45–65. https://doi.org/10.1007/s10518-017-0216-5.
   Web of Science ®Google Scholar
• Lin, T., C. B. Haselton, and J. W. Baker. 2013. “Conditional Spectrum-Based Ground Motion Selection. Part II: Intensity-Based Assessments and Evaluation of Alternative Target Spectra.” Earthquake Engineering & Structural Dynamics 42 (12): 1867–1884. https://doi.org/10.1002/eqe.2303.
   Web of Science ®Google Scholar
• Lin, Y., X. He, and A. Igarashi. 2022. “Influence of Directionality of Spectral-Compatible Bi-Directional Ground Motions on Critical Seismic Performance Assessment of Base-Isolation Structures.” Earthquake Engineering & Structural Dynamics 51 (6): 1477–1500. https://doi.org/10.1002/eqe.3624.
   Web of Science ®Google Scholar
• Luco, N., and C. A. Cornell. 2007. “Structure-Specific Scalar Intensity Measures for Near-Source and Ordinary Earthquake Ground Motions.” Earthquake Spectra 23 (2): 357–392. https://doi.org/10.1193/1.2723158.
   Web of Science ®Google Scholar
• Mackie, K. R., K. J. Cronin, and B. G. Nielson. 2011. “Response Sensitivity of Highway Bridges to Randomly Oriented Multi-Component Earthquake Excitation.” Journal of Earthquake Engineering 15 (6): 850–876. https://doi.org/10.1080/13632469.2010.551706.
   Web of Science ®Google Scholar
• Mangalathu, S., J.-S. Jeon, J. E. Padgett, and R. DesRoches. 2017. “Performance-Based Grouping Methods of Bridge Classes for Regional Seismic Risk Assessment: Application of ANOVA, ANCOVA, and Non-Parametric Approaches.” Earthquake Engineering & Structural Dynamics 46 (14): 2587–2602. https://doi.org/10.1002/eqe.2919.
   Web of Science ®Google Scholar
• Mehdizadeh, M., K. R. Mackie, and B. G. Nielson. 2017. “Scaling Bias and Record Selection for Quantifying Seismic Structural Demand.” Journal of Structural Engineering 143 (9): 1–12. https://doi.org/10.1061/(asce)st.1943-541x.0001855.
   Web of Science ®Google Scholar
• Monteiro, R., C. Zelaschi, A. Silva, and R. Pinho. 2019. “Derivation of Fragility Functions for Seismic Assessment of RC Bridge Portfolios Using Different Intensity Measures.” Journal of Earthquake Engineering 23 (10): 1678–1694. Taylor & Francis. https://doi.org/10.1080/13632469.2017.1387188.
   Web of Science ®Google Scholar
• O’Reilly, G. J. 2021. “Limitations of Sa(t 1) As an Intensity Measure When Assessing Non-Ductile Infilled RC Frame Structures.” Bulletin of Earthquake Engineering 19 (6): 2389–2417. https://doi.org/10.1007/s10518-021-01071-7.
   Web of Science ®Google Scholar
• Omrani, R., B. Mobasher, S. Sheikhakbari, F. Zareian, and E. Taciroglu. 2017. “Variability in the Predicted Seismic Performance of a Typical Seat-Type California Bridge Due to Epistemic Uncertainties in Its Abutment Backfill and Shear-Key Models.” Engineering Structures 148: 718–738. https://doi.org/10.1016/j.engstruct.2017.07.018.
   Web of Science ®Google Scholar
• Otárola, K., J. Fayaz, and C. Galasso. 2022. “Fragility and Vulnerability Analysis of Deteriorating Ordinary Bridges Using Simulated Ground-Motion Sequences.” Earthquake Engineering & Structural Dynamics 51 (13): 3215–3240. https://doi.org/10.1002/eqe.3720.
   Web of Science ®Google Scholar
• Petrini, L., C. Maggi, M. J. N. Priestley, and G. M. Calvi. 2008. “Experimental Verification of Viscous Damping Modeling for Inelastic Time History Analyzes.” Journal of Earthquake Engineering 12 (SUPPL. 1): 125–145. https://doi.org/10.1080/13632460801925822.
   Google Scholar
• Poulos, A., and E. Miranda. 2023. “Modification of Ground-Motion Models to Estimate Orientation-Dependent Horizontal Response Spectra in Strike-Slip Earthquakes.” Bulletin of the Seismological Society of America 113 (6): 2718–2729. https://doi.org/10.1785/0120230084.
   Web of Science ®Google Scholar
• Priestley, M. J. N., F. Seible, and G. M. Calvi. 1996. Seismic Design and Retrofit of Bridges. New York: John Wiley & Sons.
   Google Scholar
• Qian, J., and Y. Dong. 2020. “Multi‐Criteria Decision Making for Seismic Intensity Measure Selection Considering Uncertainty.” Earthquake Engineering & Structural Dynamics 49 (11): 1095–1114. https://doi.org/10.1002/eqe.3280.
   Web of Science ®Google Scholar
• Rivera-Figueroa, A., and L. A. Montejo 2022. “Spectral Matching RotD100 Target Spectra: Effect on Records Characteristics and Seismic Response.” Earthquake Spectra 38 (2): 1570–1586. https://doi.org/10.1177/87552930211049259.
   Web of Science ®Google Scholar
• Romstad, K. M., B. Kutter, B. Maroney, E. Varderbilt, M. Griggs, and Y. H. Chai. 1995. Experimental Measurements of Bridge Abutment Behavior. Report No. UCD STR 95 1. Davis, CA: University of California, Structural Engineering Group.
   Google Scholar
• Scott, M. H., and G. L. Fenves. 2006. “Plastic Hinge Integration Methods for Force-Based Beam–Column Elements.” Journal of Structural Engineering 132 (2): 244–252. https://doi.org/10.1061/(asce)0733-9445(2006)132:2(244).
   Web of Science ®Google Scholar
• Scott, M. H., and K. L. Ryan. 2013. “Moment-Rotation Behavior of Force-Based Plastic Hinge Elements.” Earthquake Spectra 29 (2): 597–607. https://doi.org/10.1193/1.4000136.
   Web of Science ®Google Scholar
• Sengupta, A., L. Quadery, S. Sarkar, and R. Roy. 2016. “Influence of Bidirectional Near-Fault Excitations on RC Bridge Piers.” Journal of Bridge Engineering 21 (7). https://doi.org/10.1061/(asce)be.1943-5592.0000836.
   Web of Science ®Google Scholar
• Shahi, S. K., and J. W. Baker. 2014. “NGA-West2 Models for Ground Motion Directionality.” Earthquake Spectra 30 (3): 1285–1300. https://doi.org/10.1193/040913EQS097M.
   Web of Science ®Google Scholar
• Shamsabadi, A., K. M. Rollins, and M. Kapuskar. 2007. “Nonlinear Soil–Abutment–Bridge Structure Interaction for Seismic Performance-Based Design.” Journal of Geotechnical and Geoenvironmental Engineering 133 (6): 707–720. https://doi.org/10.1061/(asce)1090-0241(2007)133:6(707).
   Web of Science ®Google Scholar
• Shome, N., C. A. Cornell, P. Bazzurro, and J. E. Carballo. 1998. “Earthquakes, Records, and Nonlinear Responses.” Earthquake Spectra 14 (3): 469–500. https://doi.org/10.1193/1.1586011.
   Google Scholar
• Somerville, P. G., N. F. Smith, R. W. Graves, and N. A. Abrahamson. 1997. “Modification of Empirical Strong Ground Motion Attenuation Relations to Include the Amplitude and Duration Effects of Rupture Directivity.” Seismological Research Letters 68 (1): 199–222. https://doi.org/10.1785/gssrl.68.1.199.
   Google Scholar
• Sousa, L., V. Silva, M. Marques, and H. Crowley. 2016. “On the Treatment of Uncertainties in the Development of Fragility Functions for Earthquake Loss Estimation of Building Portfolios.” Earthquake Engineering & Structural Dynamics 45 (12): 1955–1976. https://doi.org/10.1002/eqe.2734.
   Web of Science ®Google Scholar
• Sousa, R., J. P. Almeida, A. A. Correia, and R. Pinho. 2020. “Shake Table Blind Prediction Tests: Contributions for Improved Fiber-Based Frame Modelling.” Journal of Earthquake Engineering 24 (9): 1435–1476. https://doi.org/10.1080/13632469.2018.1466743.
   Web of Science ®Google Scholar
• Stewart, J., E. Taciroglu, J. Wallace, E. Ahlberg, A. Lemnitzer, C. Rha, P. Tehrani, S. Keowen, R. Nigbor, and A. Salamanca. 2007. Full Scale Cyclic Testing of Foundation Support Systems for Highway Bridges. Part II: Abutment Backwalls. Report No. UCLA SGEL 2007/02. Los Angeles, CA: University of California.
   Google Scholar
• Tarbali, K. 2017. “Ground Motion Selection for Seismic Response Analysis.” PhD diss., Christchurch, New Zealand: University of Canterbury.
   Google Scholar
• Torbol, M., and M. Shinozuka. 2014. “The Directionality Effect in the Seismic Risk Assessment of Highway Networks.” Structure and Infrastructure Engineering 10 (2): 175–188. https://doi.org/10.1080/15732479.2012.716069.
   Web of Science ®Google Scholar
• Tothong, P., and C. A. Cornell. 2006. “An Empirical Ground-Motion Attenuation Relation for Inelastic Spectral Displacement.” Bulletin of the Seismological Society of America 96 (6): 2146–2164. https://doi.org/10.1785/0120060018.
   Web of Science ®Google Scholar
• Tothong, P., and N. Luco. 2007. “Probabilistic Seismic Demand Analysis Using Advanced Ground Motion Intensity Measures.” Earthquake Engineering & Structural Dynamics 36 (13): 1837–1860. https://doi.org/10.1002/eqe.696.
   Web of Science ®Google Scholar
• Vamvatsikos, D., and C. A. Cornell. 2002. “Incremental Dynamic Analysis.” Earthquake Engineering & Structural Dynamics 31 (3): 491–514. https://doi.org/10.1002/eqe.141.
   Web of Science ®Google Scholar
• Vamvatsikos, D., and C. A. Cornell. 2005. “Developing Efficient Scalar and Vector Intensity Measures for IDA Capacity Estimation by Incorporating Elastic Spectral Shape Information.” Earthquake Engineering & Structural Dynamics 34 (13): 1573–1600. https://doi.org/10.1002/eqe.496.
   Web of Science ®Google Scholar
• Wilson, P., and A. Elgamal. 2006. “Large Scale Measurement of Lateral Earth Pressure on Bridge Abutment Back-Wall Subjected to Static and Dynamic Loading.” In Proceedings of the New Zealand workshop on Geotechnical Earthquake Engineering, edited by M. Cubrinovski, 307–315. Christchurch, New Zealand: University of Canterbury.
   Google Scholar
• Wu, Y. F., A. Q. Li, and H. Wang. 2019. “Inelastic Displacement Spectra for Chinese Highway Bridges Characterized by Single-Degree-Of-Freedom Bilinear Systems.” Advances in Structural Engineering 22 (14): 3066–3085. https://doi.org/10.1177/1369433219857845.
   Web of Science ®Google Scholar
• Zhu, M., F. McKenna, and M. H. Scott. 2018. “OpenSeespy: Python Library for the OpenSees Finite Element Framework.” SoftwareX 7: 6–11. https://doi.org/10.1016/j.softx.2017.10.009.
   Web of Science ®Google Scholar