4.4 Article

Deterioration Modeling of Steel Components in Support of Collapse Prediction of Steel Moment Frames under Earthquake Loading

Journal

JOURNAL OF STRUCTURAL ENGINEERING
Volume 137, Issue 11, Pages 1291-1302

Publisher

ASCE-AMER SOC CIVIL ENGINEERS
DOI: 10.1061/(ASCE)ST.1943-541X.0000376

Keywords

Component deterioration; Steel database; Steel moment connections; Sidesway collapse; Moment-rotation relationships; Residual strength; Deterioration models; Reduced beam section

Funding

  1. U.S. National Science Foundation (NSF) within the George E. Brown, Jr. Network for Earthquake Engineering Simulation (NEES) Consortium [CMS-0421551]
  2. CUREE

Ask authors/readers for more resources

Reliable collapse assessment of structural systems under earthquake loading requires analytical models that are able to capture component deterioration in strength and stiffness. For calibration and validation of these models, a large set of experimental data is needed. This paper discusses the development of a database of experimental data of steel components and the use of this database for quantification of important parameters that affect the cyclic moment-rotation relationship at plastic hinge regions in beams. On the basis of information deduced from the steel component database, empirical relationships for modeling of precapping plastic rotation, postcapping rotation, and cyclic deterioration for beams with reduced beam section (RBS) and other-than-RBS beams are proposed. Quantitative information is also provided for modeling of the effective yield strength, postyield strength ratio, residual strength, and ductile tearing of steel components subjected to cyclic loading. DOI: 10.1061/(ASCE)ST.1943-541X.0000376. (C) 2011 American Society of Civil Engineers.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available