Abstract

This paper presents the analytical formulation and computational implementation of a conceptual probabilistic performance-based seismic design (PBSD) framework for ordinary standard bridge (OSB) structures. An updated probabilistic performance-based earthquake engineering (PBEE) assessment methodology is used for the parametric performance assessment of four distinct OSBs in California to investigate the effects of varying key structural design parameters over a primary design parameter space on risk-based structural performance measures. The dire need for a systematic PBSD framework for OSBs is illustrated given the significant variability in risk-based performance levels exhibited by these traditionally designed testbed OSBs. A PBSD methodology involving the design of the bridge piers is proposed wherein a risk-based feasible design domain in the primary design parameter space is identified which facilitates the risk-informed design/decision making process in the face of uncertainty. Sensitivities of risk-based feasible design domains compared with other (secondary) design variables and with the method employed for damage hazard assessment are investigated.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

Support of this research by the California Department of Transportation under Grant No. 65A0594, Task No. 2880 is gratefully acknowledged. The authors wish to thank the following individuals for their help and insightful discussions related to the work presented in this paper: Messrs. M. Mahan, T. Ostrom, T. Shantz, as well as Dr. A. Shamsabadi, and Dr. C. Sikorsky from the Engineering Division at Caltrans, along with Dr. Frank McKenna at UC Berkeley for help with HPC and OpenSees. The authors also acknowledge the Texas Advanced Computing Center (TACC) at The University of Texas at Austin (http://www.tacc.utexas.edu) for providing HPC resources that have contributed to the research results reported within this paper.

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Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 149Issue 7July 2023

History

Received: May 5, 2021
Accepted: Feb 24, 2023
Published online: May 8, 2023
Published in print: Jul 1, 2023
Discussion open until: Oct 8, 2023

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Graduate Student, Dept. of Structural Engineering, Univ. of California, San Diego, CA 92093. ORCID: https://orcid.org/0000-0002-2614-4032. Email: [email protected]
Alex L. Zha [email protected]
Graduate Student, Dept. of Structural Engineering, Univ. of California, San Diego, CA 92093. Email: [email protected]
Zachary A. Caamaño-Withall [email protected]
Graduate Student, Dept. of Structural Engineering, Univ. of California, San Diego, CA 92093. Email: [email protected]
Professor, Dept. of Structural Engineering, Univ. of California, San Diego, CA 92093 (corresponding author). ORCID: https://orcid.org/0000-0003-2068-7965. Email: [email protected]
José I. Restrepo, M.ASCE [email protected]
Professor, Dept. of Structural Engineering, Univ. of California, San Diego, CA 92093. Email: [email protected]

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