1. Story loss functions for seismic design and assessment: Development of tools and application
- Author
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Gerard J. O’Reilly, Davit Shahnazaryan, and Ricardo Monteiro
- Subjects
021110 strategic, defence & security studies ,Earthquake engineering ,Geophysics ,Seismic assessment ,Computer science ,0211 other engineering and technologies ,020101 civil engineering ,02 engineering and technology ,Geotechnical Engineering and Engineering Geology ,Construction engineering ,0201 civil engineering ,Seismic analysis - Abstract
Performance-based earthquake engineering (PBEE) has become an important framework for quantifying seismic losses. However, due to its computationally expensive implementation through a typically detailed component-based approach (i.e. Federal Emergency Management Agency (FEMA) P-58), it has primarily been used within academic research and specific studies. A simplified alternative more desirable for practitioners is based on story loss functions (SLFs), which estimate a building’s expected monetary loss per story due to seismic demand. These simplified SLFs reduce the data required compared to a detailed study, which is especially true at a design stage, where detailed component information is likely yet to be defined. This article proposes a Python-based toolbox for the development of user-specific and customizable SLFs for use within seismic design and assessment of buildings. It outlines the implementation procedure alongside a comparative demonstration of its application where dependency and correlation of damage states between different components are considered. Finally, a comparison of SLF-based and component-based loss estimation approaches is carried out through the application to a real case study school building. The agreement and consistency of the attained loss metrics demonstrate the quality and ease of the SLF-based approach in achieving accurate results for a more expedite assessment of building performance.
- Published
- 2021