Chapter
May 1, 2023

Informing the Seismic Risk Assessment of Distributed Infrastructure Using a Suite of Physics-Based Simulated Ground-Motion Realizations

Publication: Structures Congress 2023

ABSTRACT

This paper presents the results of a numerical study conducted to assess the effects of site-specific arrays of simulated ground motions from large magnitude earthquakes on the response of distributed infrastructure. Focus is laid on specific ground-motion features that are known to largely affect the response of long-period structures, including pseudo-spectral acceleration (PSA), peak ground velocity and displacement (PGV and PGD), fling step, and impulsive characteristics. The study is conducted on a detailed numerical model representative of the West San Francisco-Oakland Bay Bridge developed in the OpenSees environment and a suite of fifteen realizations of an Mw7 Hayward Fault strike-slip earthquake generated in SW4. The realizations differ from each other for the rupture model and depth of the fault plane. A core component of the study is the rigorous evaluation of the simulated ground motions based on the use of ground motion models (GMMs). The main objective is to verify the realistic character of the motions for their utilization in the risk assessments of distributed infrastructure, yet recognizing that the physics-based models are herein utilized to simulate events for which the GMMs are not well constrained. Therefore, insight into the interpretation of such comparisons is also provided. Results show a close agreement between the simulated motions and several GMMs, across multiple intensity measures. Finally, the preliminary results of nonlinear dynamic simulations carried out on the bridge model are discussed. Emphasis is laid on the influence of both between-events (multiple realizations at one location) and within-event (one realization at multiple locations) ground-motion variability on the structure response statistics.

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Structures Congress 2023
Pages: 132 - 149

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Published online: May 1, 2023

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Arsam Taslimi [email protected]
Dept. of Civil and Environmental Engineering, Univ. of Nevada Reno, Reno, NV. Email: [email protected]
Dept. of Civil and Environmental Engineering, Univ. of Nevada Reno, Reno, NV; Energy Geosciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA (corresponding author). ORCID: https://orcid.org/0000-0003-4545-6303. Email: [email protected]

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