Chapter
Nov 14, 2023

Model-Data Validation and Uncertainty Quantification of the IN-CORE and HAZUS-MH Damage Models for Buildings Impacted by Hurricane Ian (2022) at Fort Myers Beach, Florida

Publication: ASCE Inspire 2023

ABSTRACT

This paper describes a sample of data-driven validation of the Hazus-MH combined hurricane and flood damage models. The validation was conducted based on a hindcast study of the impact by Hurricane Ian (2022) on buildings in Fort Myers Beach, FL. A comprehensive virtual damage assessment (VDA) study was conducted to estimate the first-floor elevation (FFE) and the overall damage state (DS) rating from DS0 (no damage) to DS6 (complete damage) for buildings. After comprehensive quality assurance and quality control (QAQC), the damage dataset was utilized to evaluate the uncertainty in model input. A Hazus-MH Level 2 analysis was carried out for two selected census blocks using coupled hurricane and flood models, and both the VDA and Hazus-MH damage state results were combined under one scale. The outcomes will be compared with the completed hindcast dataset, as well as those of other models, such as open-source Interdependent Networked Community Resilience Modeling Environment (IN-CORE) developed by the Center for Risk-Based Community Resilience Planning. Current results indicate the success of the VDA methodology and the potential for future model-to-data and model-to-model comparisons.

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REFERENCES

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ASCE Inspire 2023
Pages: 777 - 784

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Published online: Nov 14, 2023

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Mehrshad Amini [email protected]
1Postdoc Scholar, School of Civil and Construction Engineering, Oregon State Univ., Corvallis, OR. Email: [email protected]
Sebastião Appleton Figueira [email protected]
2Ph.D. Student, School of Civil and Construction Engineering, Oregon State Univ., Corvallis, OR. Email: [email protected]
Daniel T. Cox [email protected]
3CH2M Hill Professor in Civil Engineering, School of Civil and Construction Engineering, Oregon State Univ., Corvallis, OR. Email: [email protected]
Andre R. Barbosa [email protected]
4Professor, School of Civil and Construction Engineering, Oregon State Univ., Corvallis, OR. Email: [email protected]

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