Skip to main content
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.

Development and utilization of a database of infilled frame experiments for numerical modeling

Published

Author(s)

Henry Burton, Honglan Huang, Siamak Sattar

Abstract

Reliable analytical and empirical models of the force-deformation parameters used to characterize the nonlinear behavior of masonry infill panels are essential to simulating the seismic response of the masonry-infilled reinforced concrete and steel frame systems. This paper presents the development of an empirical model to predict the backbone curve parameters of the masonry infill panels. For this purpose, a database of 264 infilled frame experiments is assembled from the existing literature. A subset of 113 specimens is utilized to calibrate the force-deformation parameters of the infill panels to the experimental data, using numerical models developed in OpenSees based on the equivalent diagonal strut concept and the Pinching4 material model. Using the results from multivariate regression analyses, empirical equations are proposed for the backbone curve parameters that define the axial response of infill struts. Discussions and recommendations for the cyclic degradation and pinching effect parameters are also presented.
Citation
Journal of Structural Engineering-ASCE

Citation

Burton, H. , Huang, H. and Sattar, S. (2020), Development and utilization of a database of infilled frame experiments for numerical modeling, Journal of Structural Engineering-ASCE, [online], https://doi.org/10.1061/(ASCE)ST.1943-541X.0002608, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=927529 (Accessed May 21, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created May 31, 2020, Updated October 12, 2021