Deaggregation of Wind Speeds for Hurricane Scenarios Used in Risk-Informed Resilience Assessment of Coastal Communities
Publication: Journal of Structural Engineering
Volume 148, Issue 11
Abstract
Coastal cities in the east and southeast regions of the US have seen significant population growth and economic development in the last 2 decades. As a result, urban infrastructure, populations, and economies are becoming increasingly vulnerable to hurricane-driven hazards. Criteria for wind design in national standards are intended specifically for the design and performance assessment of individual buildings and other facilities for life safety. They are not adequate for assessing community resilience because hurricane winds are spatially nonuniform. Although scenario-based approaches to representing hurricane demands are more useful in community performance assessment because the distinct features of various hurricane scenarios and their impact on a community can be captured, they are not tied to a specific hazard level. This study introduces a new method for systematically identifying a set of hurricane scenarios corresponding to a stipulated return period (RP) for resilience assessment of coastal communities using a deaggregation approach, which establishes a connection that has not existed previously between hurricane scenarios and the building regulatory process. A community patterned after Miami, Florida, was used to demonstrate the proposed hazard deaggregation and damage analysis. Hurricane scenario events that are dominant contributors to the stipulated RP events, coupled with fragility models of engineered buildings, were used to identify building damage patterns and form an improved basis for risk-informed decision making.
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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
The research herein was funded, in part, by the Center for Risk-Based Community Resilience Planning, a Center of Excellence funded through a cooperative agreement between the US National Institute of Standards and Technology and Colorado State University (NIST Financial Assistance Award No. 70NANB20H008). This support is gratefully acknowledged. The views expressed herein are those of the authors and may not represent the official position of the National Institute of Standards and Technology.
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Information & Authors
Information
Published In
Journal of Structural Engineering
Volume 148 • Issue 11 • November 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Jan 2, 2022
Accepted: Mar 28, 2022
Published online: Aug 29, 2022
Published in print: Nov 1, 2022
Discussion open until: Jan 29, 2023
ASCE Technical Topics:
- Building design
- Buildings
- Continuum mechanics
- Design (by type)
- Disaster risk management
- Disasters and hazards
- Dynamic loads
- Dynamics (solid mechanics)
- Engineering fundamentals
- Engineering mechanics
- Hurricanes, typhoons, and cyclones
- Infrastructure
- Infrastructure resilience
- Natural disasters
- Solid mechanics
- Structural dynamics
- Structural engineering
- Structures (by type)
- Urban and regional development
- Urban areas
- Wind engineering
- Wind loads
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Cited by
- De-Cheng Feng, Yue Li, Abdollah Shafieezadeh, Ertugrul Taciroglu, Advances in Data-Driven Risk-Based Performance Assessment of Structures and Infrastructure Systems, Journal of Structural Engineering, 10.1061/JSENDH.STENG-12434, 149, 5, (2023).