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A Framework for Characterizing Uncertainty Factors in Postdisaster Structural Performance Assessment Data

Published

Author(s)

Tori Tomiczek, Jennifer Helgeson, Elaina Sutley, Donghwan Gu, Sara Hamideh, Shane Crawford

Abstract

Post-disaster structural damage assessments are essential for capturing ephemeral data that contribute to modeling and recovery efforts. While epistemic uncertainties in hazard and structural response modeling are quantified, modal, temporal, and human factors causing variability in the damage assessments are rarely considered. In this forum-style paper, we identify and discuss sources of uncertainty in post-disaster damage assessments, considering how (field, remote, and combined modes of assessment), when (timing of damage assessments, effects of cascading disasters), and who (surveyor bias, training, familiarity with the affected area) affect reported damages. We propose a framework for quantifying these uncertainty factors for use in empirical fragility functions. Repositories of publicly available damage data such as DesignSafe may be leveraged in future work to develop quantitative values for these parameters.
Citation
Natural Hazards Review
Volume
24
Issue
1

Citation

Tomiczek, T. , Helgeson, J. , Sutley, E. , Gu, D. , Hamideh, S. and Crawford, S. (2022), A Framework for Characterizing Uncertainty Factors in Postdisaster Structural Performance Assessment Data, Natural Hazards Review, [online], https://doi.org/10.1061/(ASCE)NH.1527-6996.0000604, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=933994 (Accessed June 25, 2024)

Issues

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Created November 1, 2022, Updated December 24, 2022