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-Reference-Cited by-同舟云学术

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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

Published:2023-11-14 Issue: Volume: Page:
ISSN:
Container-title:ASCE Inspire 2023
language:
Short-container-title:

Author:

Amini Mehrshad¹²³⁴,Appleton Figueira Sebastião¹²³⁴,Cox Daniel T.¹²³⁴,Barbosa Andre R.¹²³⁴

Affiliation:

1. Postdoc Scholar, School of Civil and Construction Engineering, Oregon State Univ., Corvallis, OR.

2. Ph.D. Student, School of Civil and Construction Engineering, Oregon State Univ., Corvallis, OR.

3. CH2M Hill Professor in Civil Engineering, School of Civil and Construction Engineering, Oregon State Univ., Corvallis, OR.

4. Professor, School of Civil and Construction Engineering, Oregon State Univ., Corvallis, OR.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485163.090

Reference11 articles.

1. Evaluation of HAZUS-MH Flood Model with Local Data and Other Program

2. FEMA. (2022). Hazus Hurricane Model Technical Manual. Washington, DC: FEMA.

3. Friedland, C. J. (2009). Residential building damage from hurricane storm surge: proposed methodologies to describe, assess and model building damage. Louisiana State University and Agricultural & Mechanical College.

4. StEER: A Community-Centered Approach to Assessing the Performance of the Built Environment after Natural Hazard Events

5. NCEI (National Centers for Environmental Information). (2018). U.S. billion-dollar weather and climate disasters. Asheville, NC: NCEI.

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