Evaluation of IM Efficiency for a Typical Highway Bridge Embankment
Publication: Geo-Congress 2022
ABSTRACT
Estimation of the seismic performance of bridge embankments is an important application of advanced soil constitutive models to evaluate the potential damage to the bridge systems caused by earthquake induced liquefaction. The study presented in this paper revisits a typical highway bridge embankment using the newly implemented PM4Sand and PM4Silt constitutive models in OpenSees to study the efficiency of various Intensity Measures (IMs). This study follows the Pacific Earthquake Engineering Research Center (PEER)’s probabilistic framework for Performance Based Earthquake Engineering (PBEE) to evaluate the risk associated with earthquake shaking at this PEER testbed. Four different hazard levels of near-fault motions are considered and used in OpenSees simulations. Besides record-to-record uncertainty, spatial variability is also considered. Using OpenSees simulations, the relative efficiency of several IMs, including PGA, PGV, CAV5, and magnitude corrected PGA, is investigated to shed lights on reducing demand parameter uncertainty. Efficiency of IMs was examined, and the results show CAV5 is the most efficient IM in predicting liquefaction induced lateral displacements in the studied case.
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REFERENCES
Boulanger, R. W., and Idriss, I. M. (2007). Evaluation of Cyclic Softening in Silts and Clays. Journal of Geotechnical and Geoenvironmental Engineering, 133, 641–652. doi:https://doi.org/10.1061/(ASCE)1090-0241(2007)133:6(641).
Boulanger, R. W., and Idriss, I. M. (2014). CPT and SPT Based Liquefaction Triggering Procedures., Department of Civil & Environmental Engineering, College of Engineering, University of California at Davis.
Boulanger, R. W., and Ziotopoulou, K. (2017). PM4Sand (Version 3.1): a sand plasticity model for earthquake engineering applications., Center for Geotechnical Modeling, University of California at Davis.
Boulanger, R. W., and Ziotopoulou, K. (2018). PM4SILT (Version 1): a silt plasticity model for earthquake engineering applications., Center for Geotechnical Modeling, University of California at Davis.
Deierlein, G. G., Krawinkler, H., and Cornell, C. A. (2003). A framework for performance-based earthquake engineering. Proceedings of the 2003 Pacific Conference on Earthquake Engineering, 273, 140–148. doi:https://doi.org/10.1061/9780784412121.173.
Idriss, I. M., and Boulanger, R. W. (2008). Soil liquefaction during earthquakes. Oakland, Calif.: Earthquake Engineering Research Institute.
Kramer, S. L., and Mitchell, R. A. (2006). Ground motion intensity measures for liquefaction hazard evaluation. Earthquake Spectra, 22, 413–438. doi:https://doi.org/10.1193/1.2194970.
Kunnath, S. K. (2006). Application of the PEER PBEE Methodology to the I-880 Viaduct., 1–118.
Ledezma, C. A., and Bray, J. D. (2008). Performance-Based Earthquake Engineering Design Evaluation Procedure for Bridge Foundations Undergoing Liquefaction-Induced Lateral Ground Displacement., Pacific Earthquake Engineering Research Center.
Liu, A. H., Stewart, J. P., Abrahamson, N. A., and Moriwaki, Y. (2001). Equivalent number of uniform stress cycles for soil liquefaction analysis. Journal of Geotechnical and Geoenvironmental Engineering, 127. doi:https://doi.org/10.1061/(ASCE)1090-0241(2001)127:12(1017).
McGann, C. R., Arduino, P., and Mackenzie-Helnwein, P. (2012). Stabilized single-point 4-node quadrilateral element for dynamic analysis of fluid saturated porous media. Acta Geotechnica, 7, 297–311. doi:https://doi.org/10.1007/s11440-012-0168-5.
Montgomery, J. (2012). Issues in Nonlinear Deformation Analyses of Embankment Dams Affected by Liquefaction. Ph.D. dissertation, University of California Davis, Davis.
OpenSees. (2007). Open System for Earthquake Engineering Simulation. University of California, Berkeley: Pacific Earthquake Engineering Research Center (PEER).
Shin, H. (2007). Numerical modeling of a bridge system & its application for performance-based earthquake engineering. Ph.D. dissertation, University of Washington, Seattle.
Sideras, S. S. (2019). Evolutionary Intensity Measures for More Accurate and Informative Evaluation of Liquefaction Triggering. Ph.D. dissertation, University of Washington, Seattle.
Somerville, P. G., and Collins, N. (2002). Ground motion time histories for the I880 Bridge-Oakland. Report to PEER methodology testbeds projects, URS Corporation. Retrieved from https://apps.peer.berkeley.edu/research/peertestbeds/i-880.htm.
Yamazaki, F., and Shinozuka, M. (1988). Digital Generation of Non-Gaussian Stochastic Fields. Journal of Engineering Mechanics, 114, 1183–1197. doi:https://doi.org/10.1061/(asce)0733-9399(1988)114:7(1183).
Yang, Z. (2000). Numerical Modeling of Earthquake Site Response Including Dilation and Liquefaction. Ph.D. dissertation, Columbia University, New.
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Published online: Mar 17, 2022
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