A Decision Support Methodology for Seismic Design Requirements of Buildings to Achieve Community-Level Resilience Metrics
Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 10, Issue 3
Abstract
Communities can face devastation from earthquakes, including loss of lives, destruction of infrastructure, and damage to buildings. By implementing rigorous standards, communities can ensure that both new and existing structures are designed and retrofitted to withstand seismic forces. While current building codes prioritize life safety during earthquakes, they may not fully consider the postdisaster functionality and usability of buildings. Consequently, this paper introduces a novel simulation-based approach that promotes resilience-informed decision-making related to seismic design requirements for individual buildings within a community. This multidisciplinary approach takes into account the interdependencies between the physical and social systems in the community in terms of population dislocation after earthquakes. Furthermore, the methodology herein produces cost estimates for implementing seismic design upgrades, ensuring meeting seismic new retrofit level requirements for existing buildings in the community. An illustrative example using Salt Lake County (SLC), Utah, US, subject to a hypothetical earthquake scenario, is presented to demonstrate the effectiveness of the simulation-based framework and decision support methodology. SLC encompasses a significant number of buildings, electric power substations, and power generation plants, serving a population of approximately 1 million. The analysis and simulations are conducted using the Interdependent Networked Community Resilience Modeling Environment (IN-CORE), an open-source platform that facilitates the execution of the proposed framework and methodology. Through this comprehensive approach, communities can enhance their preparedness, make informed decisions, and work toward building resilience in the face of seismic events.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
Acknowledgments
The Center for Risk-Based Community Resilience Planning is a NIST-funded Center of Excellence; the Center is funded through a cooperative agreement between the US National Institute of Standards and Technology and Colorado State University (NIST Financial Assistance Award Nos. 70NANB15H044 and 70NANB20H008). The views expressed are those of the presenter and may not represent the official position of the National Institute of Standards and Technology or the US Department of Commerce.
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Published In
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 10 • Issue 3 • September 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Aug 16, 2023
Accepted: Feb 12, 2024
Published online: May 14, 2024
Published in print: Sep 1, 2024
Discussion open until: Oct 14, 2024
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