Skip to main content

NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.

Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.

U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Probabilistic Moment Curvature Analysis using Random Forest-based Ensemble Regression

Published

Author(s)

Mohammadamin Hariri Ardebili, Siamak Sattar, Christopher Segura, Golsa Mahdavi
Proceedings Title
12th U.S. National Conference on Earthquake Engineering
Conference Dates
June 27-July 1, 2022
Conference Location
Salt Lake City, UT, US

Keywords

uncertainty quantification, machine learning

Citation

Hariri Ardebili, M. , Sattar, S. , Segura, C. and Mahdavi, G. (2022), Probabilistic Moment Curvature Analysis using Random Forest-based Ensemble Regression, 12th U.S. National Conference on Earthquake Engineering, Salt Lake City, UT, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=933636 (Accessed October 10, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact [email protected].

Created July 31, 2022, Updated October 4, 2024
Was this page helpful?